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  • MPI Ethno. Forsch.  (164)
  • [Place of publication not identified] : Packt Publishing  (133)
  • Birmingham, UK : Packt Pub.  (31)
  • Python (Computer program language)  (89)
  • Web site development  (78)
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  • MPI Ethno. Forsch.  (164)
Material
Language
Years
Author, Corporation
Publisher
Keywords
Subjects(RVK)
  • 1
    Online Resource
    Online Resource
    Mastering REST APIs with FastAPI (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835464694 , 1835464696
    Language: English
    Pages: 1 online resource (1 video file (8 hr., 44 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Application program interfaces (Computer software) ; Software architecture ; Python (Computer program language) ; Interfaces de programmation d'applications ; Architecture logicielle ; Python (Langage de programmation) ; APIs (interfaces) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: This course offers a detailed exploration of FastAPI, a cutting-edge Python framework for API development. The course starts with basic API and REST principles, quickly advancing to practical application for a thorough understanding of both theory and practice. The curriculum progresses logically, starting with the basics of FastAPI, including app setup, API routing, linting, and formatting. Participants will create a social media API, manage post and comments, and learn code organization with APIRouter, followed by practical testing experience using pytest. A significant portion of the course focuses on asynchronous databases, vital for scalable application development. It covers database setup, connection, and integration within FastAPI. The course also delves into Python logging techniques, crucial for debugging and monitoring FastAPI applications. It also covers user authentication, an essential element in modern web apps. It includes practical training on JWTs, password hashing, authentication management, and database user relationships, alongside addressing many-to-many database relationships and user email confirmation strategies. In later stages, the course addresses advanced topics like file uploads, background image generation tasks, and deployment methodologies, including continuous integration with GitHub Actions. What you will learn Build and structure a FastAPI application Implement and test RESTful APIs with FastAPI Manage asynchronous database operations Configure and utilize Python logging in FastAPI Secure applications with user authentication and JWTs Handle complex database relationships Deploy FastAPI applications and manage them effectively Audience This course is ideal for aspiring back-end developers, testers looking to integrate automation into their workflows, and front-end developers seeking a deeper understanding of server-side processes. This course will particularly benefit those with a basic grasp of programming and a desire to specialize in the fast-paced realm of web development, API construction, and database management using FastAPI. Prior programming experience in any language is recommended; beginners should consider a basic Python course first, as all required software is provided for free. About the Author Jose Salvatierra Fuentes: Jose, a passionate educator in the realm of coding and software development, has dedicated over 7 years to teaching online. He founded Teclado with a vision to democratize software development education, striving to ensure comprehensive understanding for his students. His approach makes learning coding a clear, rewarding journey, connecting the dots that once seemed obscure. Specializing in Python and JavaScript, Jose excels in web and backend development. He's proficient in various libraries and frameworks, including Flask, React, React Native, and AngularJS. His expertise extends to working with UNIX systems, MongoDB, PostgreSQL, and crafting advanced system architectures. Jose's commitment is to make the learning process both efficient and enjoyable, guiding students to mastery in software development.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 23, 2024)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Official recoil tutorial code along : react web development (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835465578 , 1835465579
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 32 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.4/37
    Keywords: React (Electronic resource) ; Web site development ; Web applications Programming ; Sites Web ; Développement ; Applications Web ; Programmation ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Welcome to the course, your gateway to mastering Recoil for React web development. Recoil, a powerful state management library by Facebook, revolutionizes app development with its simplicity and scalability. In this course, you will delve into Recoil's fundamentals, understanding why it's favored over Redux, and how it enhances React applications. Starting from scratch, you will learn to configure and use Recoil atoms and selectors, persist state data efficiently, and leverage advanced features like atom families. Embrace the transition from junior to senior developer by mastering Recoil's complexities, refining skills for scalable web and mobile applications, and acing declarative JavaScript solutions for interviews. Throughout the journey, you will build an app, progressing from the basics to advanced topics. Explore Recoil's nuances as we deep-dive into selector functionalities, state persistence mechanisms, and crafting performant logic for complex applications. By the end of this course, you will be equipped with a deep understanding of Recoil, confidently implementing scalable and high-performance state management in React applications. What you will learn Grasp Recoil's principles for popular state management Craft UI elements for better user interaction with Recoil Implement dynamic search filters with Recoil tools Persist data across sessions using recoil-persist Transition local to global state management through Recoil Build scalable state logic using advanced Recoil features Audience This course caters to a diverse audience, spanning junior to senior React developers eager to bolster their skill set. Beginners seeking a strong foundation in React and Recoil, intermediate developers aspiring to refine scalable code, and seasoned professionals keen on staying updated with modern industry requirements will all find immense value. Basic knowledge of JavaScript and React is recommended, but not mandatory, ensuring accessibility for learners at varying proficiency levels. About the Author Clarian North: Clarian North is a recognized industry-certified instructor, CEO of Orbital LLC, and a senior project engineer with over 90K enrolments worldwide. His students have gone on to work for some of the biggest production companies such as Universal, Google, Amazon, Warner, and the BBC. He has contributed to viral streams, grown a unique digital imprint in over 80 countries, and been featured in Rolling Stone, Billboard, Guardian, Bloomberg, and Vice. He has worked for majors, indies, and international publishing houses, including Grammy-nominated and award-winning productions, mixing for Emirates Airline Inflight Radio, and producing for Kompakt Records. He is dedicated to giving accessible and comprehensive tech courses, teaching complex subject matter with clear and example-based explanations, and guiding students through complex techniques with just a computer and free software.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 31, 2024)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Official next Js tutorial code along : React web development (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835463444 , 1835463444
    Language: English
    Pages: 1 online resource (1 video file (10 hr., 14 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.7/6
    Keywords: Web site development Computer programs ; Application software Development ; Python (Computer program language) ; Sites Web ; Systèmes-auteur ; Logiciels d'application ; Développement ; Python (Langage de programmation) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Next.js is a popular open-source JavaScript framework designed to make web development with React efficient and scalable. Next.js adds layers of abstraction to React and simplifies the process of building modern web applications. It provides a set of conventions and features that enhance the development experience, making it easier to create performant and SEO-friendly applications. This comprehensive Next.js course unfolds by beginning with an introduction to web development fundamentals, as it progresses through React basics, advanced Next.js concepts, and real-world deployment strategies. We will explore key topics such as server-side rendering (SSR), client-side rendering (CSR), static site generation (SSG), and incremental static regeneration (ISR). The course offers hands-on experience with a final project, covering everything from structuring applications to optimizing for performance and SEO. The modular format accommodates varying skill levels, ensuring a well-rounded and practical learning experience for all learners. Upon completion of this Next.js course, you will become proficient in web development fundamentals, React essentials, and advanced Next.js concepts. Through hands-on experience, master server-side rendering, client-side rendering, dynamic routing, and performance and scalability in real-world scenarios. What you will learn Master SSR, CSR, and SSG for optimized web development Explore React basics and advanced component development in Next.js Implement Next.js best practices for efficient and scalable web applications Learn to create dynamic routes for versatile content handling Deploy fully functional applications using Vercel and Git/GitHub workflows Enhance applications for search engines and social platforms through metadata and SEO practices Audience This Next.js course is tailored for a diverse audience, catering to both entry-level and seasoned developers. Ideal for junior developers, it provides a strong foundation in web development fundamentals, React basics, and advanced Next.js concepts. Intermediate developers can enhance their skills and gain mastery in the latest features of Next.js. Senior web developers seeking to stay updated with modern concepts will find valuable insights for optimizing web applications. No programming experience is required, but basic web development and JavaScript understanding is desirable for the course. About the Author Clarian North: Clarian North is a recognized industry-certified instructor, CEO of Orbital LLC, and a senior project engineer with over 90K enrolments worldwide. His students have gone on to work for some of the biggest production companies such as Universal, Google, Amazon, Warner, and the BBC. He has contributed to viral streams, grown a unique digital imprint in over 80 countries, and been featured in Rolling Stone, Billboard, Guardian, Bloomberg, and Vice. He has worked for majors, indies, and international publishing houses, including Grammy-nominated and award-winning productions, mixing for Emirates Airline Inflight Radio, and producing for Kompakt Records. He is dedicated to giving accessible and comprehensive tech courses, teaching complex subject matter with clear and example-based explanations, and guiding students through complex techniques with just a computer and free software.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 31, 2024)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Master ChatGPT and OpenAI APIs by building AI tools in Python (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835885628 , 1835885624
    Language: English
    Pages: 1 online resource (1 video file (11 hr., 11 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Python (Computer program language) ; Intelligence artificielle ; Python (Langage de programmation) ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Embark on a transformative learning experience with 'Master ChatGPT and OpenAI APIs By Building AI Tools in Python.' This immersive course takes you from the basics of ChatGPT and OpenAI's potent APIs through a journey of building dynamic AI-powered tools. Discover the magic behind ChatGPT's conversational prowess and dive deep into the neural networks and transformers that make it tick. You'll start by creating and managing your ChatGPT account, understanding the model's anatomy, and grasping the limitations and capabilities of AI language models. Transitioning from theory to hands-on practice, the course guides you through content creation, code generation, and the intricacies of prompt engineering. Moreover, you'll venture into the realms of generative AI with Midjourney, craft AI-driven applications, and harness the synergy of OpenAI and DALL-E for on-the-fly image generation. This course demystifies the AI concepts crucial in today's technology landscape, providing you with the skills to innovate and excel in the burgeoning field of AI. What you will learn Navigate the foundational elements of ChatGPT and OpenAI APIs Generate creative content and code with ChatGPT's language model Design and implement AI applications with user-friendly interfaces Master the art of prompt engineering for optimized AI interactions Build AI-powered tools and images using OpenAI and DALL-E Develop secure, intelligent applications with advanced Python techniques Audience This course welcomes everyone from entrepreneurs to artists and developers, aiming to learn about cutting-edge AI technologies and build AI-powered applications. Basic programming knowledge is preferred but not mandatory, making this course accessible to a wide range of learners. About the Author Paulo Dichone: Paulo Dichone, a seasoned software engineer and AWS Cloud Practitioner, is renowned for his expertise in Android, Flutter, and AWS, as well as being a best-selling instructor. Paulo has successfully imparted his knowledge to over 200,000 students across 175 countries, specializing in mobile app development for Android and iOS, web development, and AWS Cloud. His teaching philosophy centers on empowering students to excel as developers and AWS cloud practitioners, regardless of their prior experience. Beyond his professional pursuits, Paulo is devoted to his family, enjoys playing the guitar and mandolin, and loves to travel. He is committed to guiding students to achieve their highest potential in the tech industry.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 4, 2024)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    The complete LangChain & LLMs guide (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835885925 , 1835885926
    Language: English
    Pages: 1 online resource (1 video file (8 hr., 44 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.6
    Keywords: Artificial intelligence ; Computer programming ; Chatbots ; Application program interfaces (Computer software) ; Python (Computer program language) ; Intelligence artificielle ; Programmation (Informatique) ; Interfaces de programmation d'applications ; Python (Langage de programmation) ; artificial intelligence ; computer programming ; APIs (interfaces) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: This comprehensive masterclass takes you on a transformative journey into the realm of LangChain and Large Language Models, equipping you with the skills to build autonomous AI tools. Starting with the basics, you'll set up your development environment, including OpenAI API and Python, and progress to advanced topics like LangChain's architecture, prompt templates, and parsers. The course meticulously guides you through creating complex chains, memory models, and agents, culminating in the development of practical applications such as PDF extractors, newsletter generators, and multi-document chatbots. With hands-on tutorials, you'll learn to leverage LangChain for tasks ranging from document loading and splitting to embedding vector stores for semantic similarity searches. By the end, you'll have the knowledge to implement AI in creative and impactful ways, from image-to-text conversion to building interactive chatbots and more, all while navigating the ethical considerations of AI deployment. What you will learn Configure OpenAI API and Python for AI development Create and manipulate LangChain prompt templates and parsers Implement LangChain memory models and chains for complex AI applications Develop real-world applications, including newsletter generators and chatbots Work with LangChain embeddings and vector stores for semantic searches Navigate the ethical and copyright implications of AI-generated content Audience This course is designed for a broad audience interested in artificial intelligence, from data scientists enhancing projects with AI and LangChain, to product managers boosting user experience with AI features. AI enthusiasts, tech innovators, and programmers will deepen their understanding of LangChain, unlocking new opportunities in AI-driven development and pioneering next-gen solutions. While specific knowledge of Python is not necessary, familiarity with programming concepts is essential. About the Author Paulo Dichone: Paulo Dichone, a seasoned software engineer and AWS Cloud Practitioner, is renowned for his expertise in Android, Flutter, and AWS, as well as being a best-selling instructor. Paulo has successfully imparted his knowledge to over 200,000 students across 175 countries, specializing in mobile app development for Android and iOS, web development, and AWS Cloud. His teaching philosophy centers on empowering students to excel as developers and AWS cloud practitioners, regardless of their prior experience. Beyond his professional pursuits, Paulo is devoted to his family, enjoys playing the guitar and mandolin, and loves to travel. He is committed to guiding students to achieve their highest potential in the tech industry.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 4, 2024)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    ASP.NET Core MVC [.NET 8] : the complete guide (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781805123019 , 1805123017
    Language: English
    Pages: 1 online resource (1 video file (16 hr., 46 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.276
    Keywords: Active server pages ; Microsoft .NET Framework ; Internet programming ; Web site development ; Programmation Internet ; Sites Web ; Développement ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: This course begins with an introduction, setting you up with essential tools and a clear roadmap for your learning journey. Delve into the fundamentals of .NET Core, understanding the MVC architecture, routing intricacies, and dependency injection. As the course progresses, you'll dive into Category and Product CRUD operations, gaining hands-on experience with database connectivity, Entity Framework Core, and dynamic UI development. We will learn the nuances of Razor Projects and the significance of N-Tier Architecture, enhancing your understanding of scalable and maintainable code structures. The Repository Pattern module deepens your grasp of efficient data handling, leading to seamless database transitions. We will also cover shopping cart implementation, order processing, and user management. You'll tackle advanced features like product image handling, social logins, and interactive UI elements, ensuring your e-commerce platform stands out. As you approach the course's climax, the focus shifts to crucial aspects of user authentication, role management, and secure user experiences with .NET Core Identity. The final modules guide you through deploying your application, integrating email services with SendGrid, and refining your project for real-world use. What you will learn Implement CRUD operations for products and categories Develop and manage Razor Projects with advanced features Apply N-Tier Architecture and Repository Patterns for scalable applications Build and manage shopping carts and order processes Integrate user authentication and manage roles using .NET Core Identity Employ deployment techniques and email integrations Handle multiple product images and social logins effectively Audience This course is designed for learners at all levels interested in mastering ASP.NET MVC Core (.NET 8), from the basics to advanced concepts. Ideal for anyone from web development beginners to seasoned professionals, this is a comprehensive guide for those looking to master Microsoft's latest framework and design large-scale projects using cutting-edge technologies. The ideal participants should have 3-6 months of experience in C# programming, and familiarity with tools like Visual Studio 2022, SQL Server Management Studio, and .NET 6 is recommended to fully benefit from the course content. About the Author Bhrugen Patel: Bhrugen Patel is a Microsoft MVP and a passionate Software Architect, known for his dedication to simplicity and attention to detail. With a background in programming that dates back to high school, Bhrugen has developed a range of web and desktop applications using .NET. He holds a Master's of Science in Computer Science and a Bachelor's in Computer Engineering, complementing his practical expertise. Alongside his full-time role, Bhrugen is devoted to teaching, driven by a mission to simplify coding and make it accessible. His goal is to alleviate the struggles of students seeking understandable resources. For Bhrugen, coding is not just a profession; it's a means to be creative and enjoy the journey of technological innovation.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 4, 2024)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Object oriented Python (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781836204473 , 1836204477
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 34 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: An immersive video course designed to introduce and deepen your understanding of Object-Oriented Programming (OOP) principles within the Python ecosystem. Through a hands-on approach, instructors Vonne and Justin guide you from the foundational setup and OOP basics--encapsulation, abstraction, inheritance, and polymorphism--to the creation of a dynamic text-based game, MonsterSlash. This course is structured to enhance your programming skills by applying OOP techniques to reduce code redundancy, promote reusability, and streamline your coding workflow. You'll embark on a project-driven learning path that not only solidifies theoretical concepts but also puts them into practice by developing a fully functional game. As the course progresses, you'll refine your game, add complexity, and implement advanced OOP strategies, culminating in version 2 of MonsterSlash that features enhanced gameplay elements. Whether you're a beginner eager to explore programming or an intermediate looking to sharpen your OOP skills in Python, this course offers valuable insights and skills for your development arsenal. What you will learn Set up your Python environment for OOP development. Understand and apply the four pillars of OOP in Python. Create, extend, and refine classes and objects. Develop a text-based game from scratch using OOP principles. Employ inheritance and composition to optimize your code. Refactor and enhance your game with advanced OOP techniques. Audience This course is ideal for individuals interested in Python programming, especially those curious about object-oriented programming. Beginners will find the course accessible, while intermediate programmers can deepen their OOP knowledge. Prior exposure to basic Python syntax is helpful but not required. About the Authors ACI Learning: ACI Learning trains leaders in Cybersecurity, Audit, and Information Technology. Whether starting an IT career, mastering a profession, or developing a team, they provide essential support at every step. Justin Dennison: Justin leads AWS and developer content creation for ITProTV. He has experience in multiple programming languages. His certifications include AWS Certified Solutions Architect -- Associate, AWS Certified Developer -- Associate, AWS Certified Cloud Practitioner, Oracle Certified Associate, Java SE 7 Programmer. Vonne Smith: Vonne leads the content development for the OfficeProTV and CreativeProTV channels. She has over a decade of experience teaching Office and Adobe applications both online and in the classroom. Certifications: Microsoft Office Master 2016.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 23, 2024)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    Abstracting with functions (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781836204459 , 1836204450
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 8 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1/17
    Keywords: Python (Computer program language) ; Application software Development ; Python (Langage de programmation) ; Logiciels d'application ; Développement ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: """Abstracting with Functions"" is a meticulously curated video course designed for technical professionals eager to master the art of function creation in Python. Through a comprehensive series of videos, learners are taken on a journey that begins with the basics of what functions are and why they are pivotal in programming. The course underscores the significance of functions in collecting logic into reusable chunks, thereby fostering more readable and maintainable codebases. Starting with an introductory overview, the course swiftly moves to dissect the anatomy of functions, from the simplest forms without arguments to more complex functions featuring multiple positional and keyword arguments. Each episode, hosted by dynamic duos such as Aubri and Ronnie or Justin and Zach, not only discusses the syntax and theoretical aspects but also delves into practical demonstrations and the subtleties of function creation, such as edge cases and argument types. The importance of understanding functions is also linked to professional development, highlighting their relevance in networking and certification exams. By the end of the course, learners will have a solid grasp of how to efficiently abstract logic through functions, enabling the construction of more sophisticated and scalable programs. What you will learn Understand the fundamental concept of functions. Explore the syntax and creation of functions in Python. Distinguish between various types of functions. Learn advanced topics such as keyword arguments. Use mixed arguments to enhance function versatility. Grasp the significance of functions in different contexts. Audience Individuals at the beginning of their coding journey who want to learn best practices early on, and those with some experience in Python or other programming languages looking to deepen their understanding of functions and how to use them more effectively in their projects will find this course quite useful. About the Authors ACI Learning: ACI Learning trains leaders in Cybersecurity, Audit, and Information Technology. Whether starting an IT career, mastering a profession, or developing a team, they provide essential support at every step. Justin Dennison: Justin leads AWS and developer content creation for ITProTV. He has experience in multiple programming languages. His certifications include AWS Certified Solutions Architect -- Associate, AWS Certified Developer -- Associate, AWS Certified Cloud Practitioner, Oracle Certified Associate, Java SE 7 Programmer. Zachary Memos: Zachary Memos is a show host with 30+ years of on-camera experience. He brings his wit and charm to the camera while helping bring out the best in the ITProTV subject matter experts.".
    Note: Online resource; title from title details screen (O'Reilly, viewed April 23, 2024)
    URL: lizenzpflichtig
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  • 9
    Online Resource
    Online Resource
    Create your own ChatGPT clone using Python (2024)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781836206071 , 1836206070
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: ChatGPT ; Python (Computer program language) ; Computer programming ; Artificial intelligence ; Python (Langage de programmation) ; Programmation (Informatique) ; Intelligence artificielle ; computer programming ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: "Unlock the world of conversational AI with ""Create Your Own ChatGPT Clone using Python,"" a comprehensive video course designed to teach you the intricacies of AI model interactions. Starting with a solid introduction and setup requirements, this course swiftly moves into hands-on exercises where you'll engage with the ChatGPT API using Python. You'll not only learn about API parameters and endpoints but also how to weave these components into a responsive Python FastAPI service. Transitioning from Python to front-end development, the course empowers you to create a React project, giving life to your ChatGPT clone with engaging styles and functionalities. The journey continues into the nuances of fine-tuning models, where you'll tailor ChatGPT solutions to fit specific needs, offering personalized experiences. The course culminates in strategic model selection, ensuring you're equipped to choose the most effective GPT model for your project's requirements, capped off with a cohesive summary tying all learned concepts together. What you will learn Navigate the setup for ChatGPT API interaction. Create a Python FastAPI for ChatGPT. Construct and style a ChatGPT clone in a React environment. Customize ChatGPT models through fine-tuning techniques. Select the optimal GPT model for specific project needs. Synthesize course knowledge in a comprehensive project. Audience Geared towards Python developers keen on building AI chatbots, and AI and NLP enthusiasts looking to delve into chatbot development, this course suits students and professionals eager for hands-on AI and Python experience. A foundational grasp of Python, React, and basic API interactions is assumed, catering to innovators who want to unlock the potential of conversational AI. About the Author Eduonix Learning Solutions: Eduonix Learning Solutions is at the forefront of technology training, boasting a vast global reach with over 1 million students across 200+ courses. With a rich history spanning over a decade, Eduonix's mission is to deliver industry-standard, high-quality training content created by a team of seasoned industry professionals. Their comprehensive curriculum covers a wide range of technologies, from Web and Mobility to Enterprise, Database, and Server Administration. Eduonix is dedicated to teaching technology in the context of real-world professional applications, ensuring that learners are equipped with the skills needed to excel in today's tech-driven landscape.".
    Note: Online resource; title from title details screen (O'Reilly, viewed April 22, 2024)
    URL: lizenzpflichtig
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  • 10
    Online Resource
    Online Resource
    Social media automation using Python (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781837630875 , 1837630879
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 39 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Social media ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Welcome to this course on automating social media applications using Python. Let's learn the basic concepts required for automating our routine social media tasks. We will begin with learning to automate WhatsApp and explore how to automatically send messages to individuals and groups using Python. You will learn to automate sending emails to random users with just a few lines of code. Learn to schedule tasks using Python to implement different social media projects. Explore email automation with Smtplib and link Gmail with SMTP. We will explore how to fetch and download different stats from YouTube channels as CSV or other file formats. Finally, you will learn to post various types of content on Facebook pages, delete posts, and comment on posts. The course, however, does not cover Python programming lessons separately. Upon completing the course, you can automate social media platforms such as WhatsApp, YouTube, Facebook, and Gmail. Create automated posts and comments, post and delete content, schedule tasks, and comprehensively advance your social media automation skills. What You Will Learn Automate WhatsApp, install the toolkit, schedule and send messages Link Gmail with SMTP, create email, attach files and send Schedule, install, import, and code a simple scheduler Create a YouTube API key and fetch channel and playlist information Automate Facebook, post photos with captions, and comment on a post Understand and implement automation packages and libraries Audience This course is designed for beginners with some programming experience or even those who need to know about data analysis, data manipulation, and more. This course is for individuals wanting to understand and implement automation packages and libraries, master scheduling tasks, automate emails, automate WhatsApp, automate YouTube data, and automate Facebook posts. Basic to intermediate Python programming knowledge is required for the course. About The Author AI Sciences: AI Sciences is a group of experts, PhDs, and practitioners of AI, ML, computer science, and statistics. Some of the experts work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. They have produced a series of courses mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, their objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory. Today, they also publish more complete courses for a wider audience. Their courses have had phenomenal success and have helped more than 100,000 students master AI and data science.
    Note: "Published in January 2023.". - Online resource; title from title details screen (O'Reilly, viewed February 20, 2023)
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  • 11
    Online Resource
    Online Resource
    A practical approach to timeseries forecasting using Python (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781837632510 , 1837632510
    Language: English
    Pages: 1 online resource (1 video file (12 hr., 26 min.)) , sound, color.
    Edition: [First edition].
    DDC: 519.55
    Keywords: Time-series analysis Data processing ; Time-series analysis Computer programs ; Python (Computer program language)
    Abstract: Have you ever wondered how weather predictions, population estimates, and even the lifespan of the universe are made? Discover the power of time series forecasting with state-of-the-art ML and DL models. The course begins with the fundamentals of time series analysis, including its characteristics, applications in real-world scenarios, and practical examples. Then progress to exploring data analysis and visualization techniques for time series data, ranging from basic to advanced levels, using powerful libraries such as NumPy, Pandas, and Matplotlib. Python will be utilized to assess various aspects of your time series data, such as seasonality, trend, noise, autocorrelation, mean over time, correlation, and stationarity. Additionally, you will learn how to pre-process time series data for utilization in applied machine learning and recurrent neural network models, which will enable you to train, test, and assess your forecasted results. Finally, you will acquire an understanding of the applied ML models, including their performance evaluations and comparisons. In the RNNs module, you will be building GRU, LSTM, Stacked LSTM, BiLSTM, and Stacked BiLSTM models. By the end of this course, you will be able to understand time series forecasting and its parameters, evaluate the ML models, and evaluate the model and implement RNN models for time series forecasting. What You Will Learn Learn data analysis techniques and handle time series forecasting Implement data visualization techniques using Matplotlib Evaluate applied machine learning in time series forecasting Look at auto regression, ARIMA, Auto ARIMA, SARIMA, and SARIMAX Learn to model LSTM, Stacked LSTM, BiLSTM, and Stacked BiLSTM models Implement ML and RNN models with three state-of-the-art projects Audience No prior knowledge of DL, data analysis, or math is required. You will start from the basics and gradually build your knowledge of the subject. Only the basics of Python are required. This course is designed for both beginners with some programming experience and even those who know nothing about data analysis, ML, and RNNs. The course is suitable for individuals who want to advance their skills in ML and DL, master the relation of data science with time series analysis, implement time series parameters and evaluate their impact on it and implement ML algorithms for time series forecasting. About The Author AI Sciences: AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences. Their courses have successfully helped more than 100,000 students master AI and data science.
    Note: "Published in March 2022."
    URL: lizenzpflichtig
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  • 12
    Online Resource
    Online Resource
    The art of doing : web development for beginners (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781804618578 , 1804618578
    Language: English
    Pages: 1 online resource (1 video file (19 hr., 59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7/2
    Keywords: Web site development ; HTTP (Computer network protocol) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Master the art of web development with this comprehensive course on HTML, CSS, and JavaScript. Learn the essential skills and techniques to create stunning web applications, from structuring web pages with HTML tags to styling them with CSS and adding interactivity with JavaScript. In the HTML sections, we'll cover web markup language, creating and structuring web pages, working with links, images, lists, forms, and best practices for accessibility and SEO. In the CSS sections, we'll learn how to style web pages with color, typography, layout, and responsive design. You will also explore CSS frameworks and preprocessors for efficient web development. In the JavaScript sections, we'll cover programming basics, variables, data types, operators, control structures, functions, objects, and working with the DOM for dynamic web content. Throughout the course, you will work on real projects, applying what you have learned to create fully functional web applications. You will design web pages, add interactive elements, and implement JavaScript functionality for a seamless user experience. You will also learn best practices for debugging and optimizing code. By the end of this course, you will have a solid foundation in web development with HTML, CSS, and JavaScript. Create visually appealing and interactive web applications that are optimized for search engines and accessible to all users. What You Will Learn Build interactive web pages from scratch with HTML, CSS, and JavaScript Use fundamental HTML tags to create web elements such as headings, lists, images, and forms Implement CSS styles for size, color, and layout, including Flexbox and Grid system Learn beginner-level JavaScript concepts such as variables, data types, loops, and conditional logic Use CSS pseudo classes to perform translations, transitions, and animations Explore advanced CSS techniques such as Flexbox and Grid Audience This course is designed for aspiring web developers, students, professionals, and anyone interested in mastering web development. Whether you are a beginner with no prior coding experience or an intermediate developer looking to level up your skills, this course is perfect for you. If you are passionate about creating stunning web applications and want to learn HTML, CSS, and JavaScript from scratch, this course will provide you with the knowledge and tools to achieve your goals. Join us and take your web development skills to the next level! About The Author Michael Eramo: Michael Eramo is a dedicated lifelong learner, experienced educator, and self-taught programmer. With official bachelor's degrees in music, education, and physics, as well as a master's in mathematics, he brings a diverse skill set to his teaching. As a Microsoft certified software developer, Michael has years of experience as a high school physics and computer science teacher, as well as a college mathematics teacher. He is also an esteemed member of the New York State Master-Teacher Program, a network of over 800 outstanding public-school teachers who share a passion for STEM learning and collaborate to inspire the next generation of STEM leaders.
    Note: "Published in April 2023.". - Online resource; title from title details screen (O'Reilly, viewed May 23, 2023)
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  • 13
    Online Resource
    Online Resource
    The typescript you need for ReactJS with projects (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781805126096 , 1805126091
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 53 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.2/762
    Keywords: TypeScript (Computer program language) ; Web site development ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: TypeScript is an advanced programming language developed by Microsoft, serving as a superset of JavaScript. It provides optional static typing to define and enforce data types, early error detection during development. This enhances code reliability, readability, and maintainability, especially in large-scale web applications. Its compatibility with existing JavaScript codebases makes it a seamless choice for migration and collaboration. The course begins with TypeScript basics such as types, arrays, tuples, objects, and interfaces. The course progressively guides students through setting up React projects with TypeScript. Participants will gain hands-on experience in building React applications using TypeScript, covering topics such as JSX, components, hooks, and props. The course also demonstrates building various React components and functionalities using TypeScript. Learners gain practical experience by setting up React projects with TypeScript and converting existing React apps to TypeScript. The course emphasizes error prevention through static typing, enhancing code quality, and readability. Upon completion of the course, you will be proficient in leveraging TypeScript's powerful features to confidently create and maintain scalable and error-free React projects, making it a valuable resource for aspiring web developers. What You Will Learn Learn to write and compile TypeScript code Build JavaScript applications with TypeScript Use TypeScript types and interfaces to improve code quality Learn to set up React projects with TypeScript Develop React applications with TypeScript Converting existing React applications to TypeScript Audience The course is designed for individuals with some familiarity with JavaScript and want to enhance their skills by incorporating TypeScript into their workflow. It caters to those seeking to build robust and maintainable React apps, using the benefits of TypeScript's optional static typing for error prevention and improved code quality. Developers looking to gain practical experience in setting up React projects with TypeScript and converting existing apps to TypeScript will find this course valuable. About The Author Desmond Oben: Desmond Oben is a highly skilled and passionate JavaScript mentor, instructor, and freelance software developer. With an impressive instructor rating, he has already impacted the knowledge of students through his courses. Desmond's passion for IT and continuous pursuit of expertise have led him to gain extensive experience in the field. His adaptive nature allows him to quickly learn and adapt to new technologies and environments. To him, web development is an artistic journey, where a blank canvas becomes a masterpiece with strokes of coding. With a keen eye for creativity and an in-depth understanding of JavaScript, Desmond is dedicated to empowering aspiring developers with valuable insights and skills to succeed in the IT industry.
    Note: "Published in August 2023.". - Online resource; title from title details screen (O'Reilly, viewed August 14, 2023)
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  • 14
    Online Resource
    Online Resource
    Python for data visualization : a beginner's guide (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781805127598 , 1805127594
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 42 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Information visualization ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Python-based data visualization uses the Python programming language and its libraries to transform data into visual representations, such as charts, graphs, and interactive dashboards. Python's libraries, including Matplotlib, Seaborn, Plotly, and Bokeh, offer customizable plot types and interactive features to craft compelling visual narratives. Through data storytelling and customization, Python shares insights and effectively communicates them, making it an indispensable skill for anyone working with data. In this course, we will begin by grasping the importance of data visualization and exploring essential Python libraries such as Matplotlib, Seaborn, and Plotly. You will learn to customize and enhance visualizations, adjust colors, labels, and legends, and understand the principles of effective data storytelling. The course delves into advanced topics such as creating interactive dashboards and dynamic data plots. We will work on practical projects and real-world examples to equip us with the skills to turn raw data into informative visuals using Python. Upon completion, we will master Python-based data visualization from core principles to practical skills, Matplotlib, Seaborn, and Plotly, and transform raw data into compelling visuals. We will acquire tools to create visuals, convey insights, and make data-driven decisions with confidence. What You Will Learn Understand the importance/principles of effective data visualization Learn Matplotlib, Seaborn, and Plotly to create various visualizations Learn to tailor colors, labels, and styles to enhance visuals Craft data visualizations to create compelling narratives Create engaging and user-friendly interactive data displays Explore geospatial data mapping and location-based visualizations Audience This course caters to a wide audience from beginners with no programming experience to experienced data professionals, programmers looking to expand their skillsets, business professionals seeking practical data visualization knowledge, and students/researchers aiming to strengthen their data visualization proficiency using Python. There are no specific prerequisites for this course. However, having a basic understanding of mathematics and readiness to learn are helpful attributes for successfully completing the course. About The Author Meta Brains: Meta Brains is a professional training brand developed by a team of software developers and finance professionals who have a passion for finance, coding, and Excel. They bring together both professional and educational experiences to create world-class training programs accessible to everyone. Currently, they're focused on the next great revolution in computing: The Metaverse. Their ultimate objective is to train the next generation of talent so that we can code and build the metaverse together!.
    Note: "Updated for September 2023.". - Online resource; title from title details screen (O'Reilly, viewed October 11, 2023)
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  • 15
    Online Resource
    Online Resource
    Django with Tailwind CSS (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835461921 , 1835461921
    Language: English
    Pages: 1 online resource (1 video file (12 hr., 40 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.2/76
    Keywords: Django (Electronic resource) ; Web site development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Django and Tailwind CSS, the dynamic duo of web development, come together in this course. In this immersive learning experience, we blend the power of Django's robust back-end capabilities with the modern design approach of Tailwind CSS. We will be starting with the fundamentals of Python and Django. We will learn how to export data seamlessly from Django admin and views in various formats such as XLS, CSV, and JSON. Then, we will discover the art of enhancing user experience with features such as copying data to the clipboard and generating QR codes for book rentals. Followed by which, we will take a deep dive into automation by writing Linux scripts and creating custom management commands to generate dummy data. Uncover the secrets of building elegant user interfaces with Tailwind CSS, including implementing light/dark mode, and crafting reusable components. A special focus of this course is advanced authentication methods. We will explore the intricacies of adding an extra layer of security through One-Time Passwords (OTP), ensuring a robust authentication system for our applications. Delve into the nuances of Django's function views versus class-based views, empowering you to choose the right approach for every scenario. By the end of this course, we will be equipped with a robust skill set, ready to create professional web applications independently. What You Will Learn Create dynamic, user-friendly dashboards using Django and Tailwind CSS Master Chart.js for interactive and visually compelling data visuals Dive deep into Tailwind CSS for professional, responsive UI design Explore data export formats, aggregation methods, and AJAX techniques Automate workflows, write Linux scripts, and enhance project efficiency Implement security measures, handle authentication issues, and more Audience This course caters to both aspiring and experienced web developers looking to expand their skill set in Python and Django while mastering the art of creating visually captivating web interfaces with Tailwind CSS. If you are a Python enthusiast eager to explore web development or a seasoned developer aiming to enhance your web app design and security abilities, this course is designed for you. To fully benefit from this course, a basic understanding of Python is recommended. Familiarity with programming concepts and some exposure to web development will be advantageous. About The Author Lukasz Makinia: Lukasz Makinia is a freelance web developer and a Lean Sigma Six Black Belt. From the beginning of his 8-year professional career, he's related to the field of continuous improvement by providing IT and Lean Management solutions to medium and large companies. He also creates web applications mainly for data gathering and processing using Python/Django, JavaScript, React, and ML. In his free time, Luke writes articles for his blog--PyPlane. He is associated with "Django Ninjas"--a web framework for building APIs with Django and Python 3.6+ type hints. They provide online educational courses mainly about Python/Django by the community of web developers across the globe. Their classes are project-based only, which means "teaching by doing.".
    Note: "Updated October 2023.". - Online resource; title from title details screen (O'Reilly, viewed November 15, 2023)
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  • 16
    Online Resource
    Online Resource
    Bootstrap 5 from scratch : build 5 modern websites (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835460559 , 1835460550
    Language: English
    Pages: 1 online resource (1 video file (13 hr., 19 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.76
    Keywords: Bootstrap (Computer program) ; Web sites Design ; Web site development ; Sites Web ; Conception ; Sites Web ; Développement ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Bootstrap has empowered countless developers and designers, and now it's your turn to harness its power. Our course starts by introducing you to the heart of Bootstrap, ensuring even beginners can find their footing. Journey with us as we explore the foundational elements like containers, typography, and buttons, and then dive into dynamic JavaScript components such as dropdowns, modals, and carousels. What sets this course apart is its hands-on approach; we believe in learning by doing. Hence, interspersed throughout are mini-project challenges to test your grasp on the material and solidify your knowledge. As we progress, the course offers custom SASS workflows, introducing customization on a whole new level. By the course's culmination, you would have built five distinct websites, each with its flavor and complexity, ensuring you're equipped with the skills to take on any web project. Come embark on this transformative journey, from a novice to a Bootstrap savant. What You Will Learn Understand Bootstrap's foundational concepts, from containers to breakpoints Implement dynamic elements utilizing Bootstrap's JavaScript components Customize your website using Sass for a distinctive design touch Construct five varied websites, harnessing an array of Bootstrap functionalities Deploy your creations to renowned platforms like Vercel and Netlify Master techniques such as Navbar Scroll Effect, Rotating Text Script, and JavaScript typing effects Audience This course caters to a diverse audience--beginners with no web development experience and seasoned developers looking to expand their skill set. It suits UI/UX designers aiming to bridge the gap between design and implementation. Front-end developers seeking to master Bootstrap and Sass will find this course invaluable, as will anyone interested in web design and creating responsive websites. While this course is beginner-friendly, there are no strict prerequisites. A basic understanding of HTML and CSS concepts will be advantageous, as these form a foundation for web development. About The Author Brad Traversy: Brad Traversy has been programming for around 12 years and teaching for almost 5 years. He is the owner of Traversy Media, which is a successful web development YouTube channel and specializes in everything from HTML5 to front-end frameworks such as Angular as well as server-side technologies such as Node.js, PHP, and Python. Brad has mastered explaining overly complex topics in a simple manner that is understandable. Invest in your knowledge by watching Brad's courses.
    Note: "Updated October 2023.". - Online resource; title from title details screen (O'Reilly, viewed November 1, 2023)
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  • 17
    Online Resource
    Online Resource
    LangChain masterclass : build 15 OpenAI and LLAMA 2 LLM apps using Python (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835464427 , 1835464424
    Language: English
    Pages: 1 online resource (1 video file (10 hr., 2 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.6
    Keywords: Artificial intelligence ; Computer programming ; Chatbots ; Application program interfaces (Computer software) ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Unlock the boundless possibilities of AI and language-based applications with our LangChain Masterclass. In this comprehensive course, you will embark on a transformative journey through the realms of LangChain, Pinecone, OpenAI, and LLAMA 2 LLM, guided by experts in the field. In this course, you will embark on a journey through a diverse range of projects designed to deepen your understanding and application of cutting-edge technologies. These hands-on endeavors encompass a broad spectrum of applications, from creating dynamic question-answering applications powered by LangChain, OpenAI, and Hugging Face Spaces, to developing engaging conversational bots that enhance user interactions. You will even venture into the realm of educational AI, crafting customized experiences for children. As you progress, you will build captivating marketing campaigns, explore the world of summarization-enriched chatbots, and streamline tasks such as multiple-choice quiz creation and CSV data analysis. Plus, you will discover how to optimize HR processes, simplify email customization, and extract vital invoice details. With projects spanning from text-to-SQL query assistance to customer care call summaries, this course equips you with a comprehensive toolkit for advancing your skills and revolutionizing various domains of AI and software development. By the end of this course, you will not only have a strong grasp of LangChain's capabilities but also a robust portfolio of AI applications that showcases your expertise. What You Will Leanr Build AI-powered chatbots and applications with LangChain Create dynamic question-answering systems and conversational bots Implement automated marketing and customer support tools Learn to streamline data analysis and CSV processing Explore HR resume screening and email customization Master invoice data extraction and SQL query tools Audience This course is designed for individuals eager to explore the dynamic world of AI-powered language applications. If you are passionate about harnessing the potential of LangChain, Pinecone, OpenAI, and LLAMA 2 LLM, this course is your gateway to expertise. Prerequisites are minimal, requiring only a basic understanding of programming and coding. A curious mind and enthusiasm for AI are your most valuable assets. About The Author Sharath Raju: Sharath Raju is a senior software engineer specialized in AI and robotics. It has been over eight years since he worked in software development, robotic process automation (RPA), and AI app implementation. He has implemented over 80 RPA processes using UiPath and Microsoft Power Automate and has also built several AI-powered apps using different technologies. It is so true that someone learns more efficiently by practicing the skill than just reading something. Having a passion to share his knowledge in these technologies, he has created several step-by-step and easy-to-digest courses. His goal is to help you get ready for the future by learning new technologies and to prepare you to become more productive by getting familiar with the relevant and useful resources. He is still learning and exploring his field of work, and therefore, he welcomes any valuable feedback.
    Note: "Updated in September 2023.". - Online resource; title from title details screen (O'Reilly, viewed October 11, 2023)
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  • 18
    Online Resource
    Online Resource
    Basics of chatbots with machine learning & Python (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781837635092 , 1837635099
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.33
    Keywords: Human-computer interaction ; Machine learning ; Python (Computer program language) ; Artificial intelligence ; Artificial intelligence ; Human-computer interaction ; Machine learning ; Python (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Chatbots are software applications used for online chat conversations through text or text-to-speech instead of providing direct contact with a live human agent. Chatbots are used in dialog systems for various purposes, including customer service, request routing, or information gathering. This course begins with a brief overview of chatbots, their need, and the types of chatbots. We will explore rule-based versus self-learning chatbots. We will understand the working mechanism of chatbots. We will explore machine learning-based chatbots and understand the ML-based architecture of chatbots. You will learn about the purpose of ML-based chatbots and their impact. We will get an overview of the Natural Language Toolkit (NLTK). You will learn to install packages and create a corpus with Python. We will delve into text preprocessing and helper function deployment, generate responses, and implement term-frequency times inverse document-frequency. We will train and test rule-based chatbots and finally work on a project developing an artificial intelligence question-answer chatbot using NLTK. Upon course completion, you will be able to relate the concepts and theories for chatbots in various domains, understand and implement machine learning models for building real-time chatbots, and evaluate machine learning models in chatbots. What You Will Learn Learn about chatbot types, rule-based and self-learning chatbots Learn text preprocessing and develop helper functions with Python Explore the impact and overview of the Natural Language Toolkit Gain hands-on practice, generate text in Python to develop chatbots Explore testing and training of chatbot with machine learning Implement term-frequency times inverse document-frequency hands-on Audience This course delivers content to people wishing to advance their skills in applied machine learning, master data analysis with machine learning, build customized chatbots for their applications, and implement machine learning algorithms for chatbots. This course is for you if you are passionate about rule-based and conversational chatbots. Machine learning practitioners, research scholars, and data scientists can benefit from the course. No prior knowledge of chatbots, or machine learning, is needed. You will need to know basic to intermediate Python coding, which is not taught separately in the course. About The Author AI Sciences: AI Sciences is a group of experts, PhDs, and practitioners of AI, ML, computer science, and statistics. Some of the experts work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. They have produced a series of courses mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, their objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory. Today, they also publish more complete courses for a wider audience. Their courses have had phenomenal success and have helped more than 100,000 students master AI and data science.
    Note: "Published in February 2023.". - Online resource; title from title details screen (O'Reilly, viewed March 21, 2023)
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  • 19
    Online Resource
    Online Resource
    Python for OOP : the A to Z OOP Python programming course (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781805127956 , 1805127950
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 1 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1/17
    Keywords: Object-oriented programming (Computer science) ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Object-Oriented Programming (OOP) is a crucial paradigm in modern programming that allows developers to write efficient, modular, and scalable code. It helps in organizing code, creating reusable and maintainable code, and improving code readability. In this course, we will dive deep into OOP concepts and provide you with a solid understanding of the fundamentals, advanced topics, and real-world applications of OOP in Python. This course covers a wide range of topics, starting with the basics of OOP, including classes, objects, attributes, methods, and constructors. You will learn about encapsulation, abstraction, inheritance, and polymorphism, which are the building blocks of OOP. You will also explore advanced concepts such as class methods, static methods, operator overloading, and dunder methods, along with practical examples and exercises to solidify your understanding. To apply the concepts learned, you will build a real-world project, the Library Management System, where you will learn to create classes, objects, and methods for managing books and users. You will also gain hands-on experience with method overriding, multiple inheritances, and other advanced topics while building practical applications. By the end of this course, you will have a deep understanding of OOP concepts in Python, be able to build robust and scalable applications using OOP principles, and possess the skills to write clean, efficient, and maintainable Python code. What You Will Learn Understand the fundamentals of Object-Oriented Programming in Python Build real-world projects using OOP concepts in Python Apply polymorphism in object-oriented styles using multiple strategies Implement OOP principles to create reusable and maintainable Python code Build a Library Management System using OOP concepts Master the use of classes, objects, attributes, methods, and constructors in Python Audience This course is tailored for programmers and developers who aspire to deepen their understanding of Object-Oriented Programming (OOP) concepts and apply them in real-world applications. It is well-suited for beginners who are already familiar with Python basics and are looking to transition into OOP programming. Intermediate Python developers seeking to enhance their coding skills and learn advanced OOP topics will also find value in this course. Prior knowledge of Python programming concepts is required, including variables, data types, loops, and functions. If you are eager to learn and apply OOP principles practically in Python, this comprehensive course will provide you with the knowledge and skills needed to succeed. About The Author Meta Brains: Meta Brains is a professional training brand developed by a team of software developers and finance professionals who have a passion for finance, coding, and Excel. They bring together both professional and educational experiences to create world-class training programs accessible to everyone. Currently, they are focused on the next great revolution in computing: the Metaverse. Their ultimate objective is to train the next generation of talent so that we can code and build the metaverse together!.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 23, 2023)
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  • 20
    Online Resource
    Online Resource
    Data science : Time series forecasting with Facebook Prophet in Python (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781803237466 , 1803237465
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 12 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Facebook (Electronic resource) ; Python (Computer program language) ; Time-series analysis Data processing ; Machine learning ; R (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Prophet enables Python and R developers to build scalable time series forecasts. This course will help you implement Prophet's cutting-edge forecasting techniques to model future data with higher accuracy and with very few lines of code. In this course, you will learn how to use Facebook Prophet to do time series analysis and forecasting. You will learn how the Prophet works under the hood (that is, what are its modeling assumptions?) and the Prophet API (that is, how to write the code). This course is a practice-oriented course, demonstrating how to prepare your data for Prophet, fit a model, and use it to forecast, analyze the results, and evaluate the model's predictions. We will apply Prophet to a variety of datasets, including store sales and stock prices. You will learn how to use Prophet to plot the model's in-sample predictions and forecast. Then, learn how to plot the components of the fitted model. You will also learn how to deal with outliers, missing data, and non-daily (for example, monthly) data. By the end of this course, you will be able to use Prophet confidently to forecast your data. What You Will Learn Prepare your data (a Pandas dataframe) for Facebook Prophet Learn how to fit a Prophet model to a time series Plot the components of the fitted model Model holidays and exogenous regressors Evaluate your model with forecasting metrics Learn how to do changepoint detection with Prophet Audience Anyone interested in data science, machine learning, or who wishes to use time series analysis on their own data should take this course. Good Python programming skills are required, as well as knowledge of Pandas, Dataframes, and preferably some familiarity with Scikit-Learn, though this is not required. About The Author Lazy Programmer: The Lazy Programmer is an AI and machine learning engineer with a focus on deep learning, who also has experience in data science, big data engineering, and full-stack software engineering. With a background in computer engineering and specialization in machine learning, he holds two master's degrees in computer engineering and statistics with applications to financial engineering. His expertise in online advertising and digital media includes work as both a data scientist and big data engineer. He has created deep learning models for prediction and has experience in recommendation systems using reinforcement learning and collaborative filtering. He is a skilled instructor who has taught at universities including Columbia, NYU, Hunter College, and The New School. He has web programming expertise, with experience in technologies such as Python, Ruby/Rails, PHP, and Angular, and has provided his services to multiple businesses.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 20, 2023)
    URL: lizenzpflichtig
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  • 21
    Online Resource
    Online Resource
    Python GUI development with Tkinter : build pro desktop apps! (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835082133 , 1835082130
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 40 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.4/37
    Keywords: Graphical user interfaces (Computer systems) Programming ; Python (Computer program language) ; Object-oriented programming (Computer science) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Tkinter is a powerful and widely-used GUI toolkit for Python. It allows developers to create desktop apps with interactive user interfaces. With Tkinter, developers can design windows, buttons, menus, text boxes, and other widgets, making it an essential tool for building visually appealing and user-friendly applications. Python's ease of use, combined with Tkinter's versatility, make it an excellent choice for GUI development, enabling programmers to develop desktop apps in Python The course content includes an introductory section on GUI programming and Tkinter. It then proceeds to establish a strong foundation by exploring basic Tkinter widgets. As the course advances, it delves into more advanced widgets and layouts. Students will learn to master event handling to create interactive interfaces. The course covers the design and structure of robust GUI applications, customization of widget and styling, and best practices for writing efficient code. Real-world projects provide practical applications of the learned knowledge. Upon completion, we will be proficient in GUI programming with Tkinter, possess knowledge of basic and advanced widgets, understand event handling, be skilled in designing robust applications, customizing widgets, and implementing best coding practices, and have hands-on experience with real-world projects. What You Will Learn Learn the fundamentals of GUI development and the Tkinter library Create visually appealing interfaces with Tkinter widgets Master layout management for responsive applications Explore advanced Tkinter widgets and techniques Handle user interactions and employ event-driven programming Customize widget appearance and write efficient code for practical projects Audience This course is for Python developers aiming to venture into GUI development, building desktop apps with Python and Tkinter, computer science or software engineering students, and anyone keen to create useful and interactive desktop applications. Individuals looking to enhance their portfolio with user-friendly interfaces and those enthusiastic about exploring Python's GUI programming can benefit. Prerequisites include an eagerness to learn and experiment with GUI development using Tkinter, basic math skills, and a passion for learning. Prior experience in any programming language is desirable. About The Author Meta Brains: Meta Brains is a team of passionate software developers and finance professionals. They provide professional training programs that combine their expertise in coding, finance, and Excel. With a focus on the Metaverse, they aim to equip learners with the necessary skills to participate in the next computing revolution. Their inclusive approach ensures accessibility to everyone, fostering a community that collaboratively codes and builds the future of the Metaverse.
    Note: "Published in August 2023.". - Online resource; title from title details screen (O'Reilly, viewed August 14, 2023)
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  • 22
    Online Resource
    Online Resource
    Web development concepts for everyone (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781805127499 , 1805127497
    Language: English
    Pages: 1 online resource (1 video file (5 hr., 2 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7/2
    Keywords: Web site development ; Web applications ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This course aims to equip learners with a conceptual comprehension of various web development principles rather than focusing on hands-on coding exercises. The course begins with a thorough introduction, setting the stage for the topics to follow. You will then delve into the front-end aspect of web development, learning about the client-side and server-side components, as well as the role of databases in web applications. You will gain insight into version control, with a specific focus on Git, including concepts such as branching, merging, and the use of GitHub for collaboration. Front-end libraries and frameworks take center stage, with a focus on jQuery, Chart.js, and popular front-end frameworks such as Angular. You will explore back-end web frameworks, including microframeworks with JavaScript and Express.js, as well as web frameworks with Java Spring. Code editors and integrated development environments (IDEs) are introduced, with examples such as Visual Studio Code and IntelliJ IDEA. An introduction to DevOps is provided, covering Continuous Integration/Continuous Deployment (CI/CD), containerization with Docker, cloud orchestration using Kubernetes, and continuous monitoring. You will also gain an understanding of the DevOps maturity model. By the end of the course, you will have acquired a comprehensive understanding of web development, enabling you to confidently navigate the various technologies and concepts involved in building modern web applications. What You Will Learn Gain an understanding of websites and web applications Explore libraries and front-end frameworks Understand back-end web frameworks Explore cloud and cloud services providers Understand databases including SQL, NoSQL, and in-memory Learn about version control systems such as Git Audience It is ideal for HR professionals, recruiters, and sourcing specialists who work specifically in the tech sector. Sales and client success executives who operate within the technology industry will also benefit from the course. Project and delivery management professionals looking to enhance their knowledge in the tech field will find value in the course content. Associate-level developers seeking to expand their skill set will find the course beneficial as well. About The Author Scott Bromander: Scott Bromander is the director of software engineering at Statespace, the makers of the Aimlabs website and Aim Lab (PC game on Steam with 25m+ registered users). Scott has experience in the web/game development industry for over 15 years and a parallel career as an educator. He has worked with several Fortune 100 companies, partnering with them to design and build world-class web applications. In addition, he has designed curriculums for several development boot camp programs and has led higher education computer science programs. He is passionate about getting people engaged in technology and loves helping people.
    Note: "Published in June 2023.". - Online resource; title from title details screen (O'Reilly, viewed August 3, 2023)
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  • 23
    Online Resource
    Online Resource
    Hands-on projects with HTML, CSS, and JavaScript (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835087725 , 1835087728
    Language: English
    Pages: 1 online resource (1 video file (49 hr., 5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.7
    Keywords: Web site development ; HTML (Document markup language) ; Cascading style sheets ; JavaScript (Computer program language) ; Web sites Design ; Sites Web ; Développement ; HTML (Langage de balisage) ; Feuilles de style en cascade ; JavaScript (Langage de programmation) ; Sites Web ; Conception ; HTML ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Building modern websites requires a solid foundation in HTML, CSS, and JavaScript. In this comprehensive course, you will embark on an exciting journey of learning these core web technologies to create visually stunning and highly functional websites. The course starts with an easy-to-follow tutorial on setting up Visual Studio Code and its essential extensions. Then, you will dive into the projects, starting with the HTML part and gradually moving on to CSS and JavaScript. Each project is built entirely from scratch, without any copied and pasted code. Throughout the course, you will create modern, super cool, and responsive websites. You will delve into event handling, DOM manipulation, and asynchronous programming. With this knowledge, you will be able to create dynamic content, handle user interactions, and build engaging web experiences. You will also work on a series of hands-on projects that reinforce your learning and allow you to apply the concepts in real-world scenarios. From creating a loading bar and image slider to building a clock and implementing a Q&A section, each section can be treated as a separate project, expanding your skills and understanding. By the end of the course, you will have learned how to write clean and efficient HTML, CSS, and JavaScript code. You will be able to confidently build modern, responsive websites from scratch, incorporating interactive elements and captivating designs. what You Will Learn Create visually appealing and functional websites using HTML, CSS, and JavaScript Understand and write HTML, CSS, and JavaScript code with ease Build modern and responsive websites from scratch without any copied code Master important JavaScript methods and techniques Explore contemporary styling techniques such as Flexbox, CSS animations, custom properties, and more Delve into concepts such as DOM manipulation, event handling, array methods, HTTP requests, and beyond Audience This course is perfect for students interested in learning web development using HTML, CSS, and JavaScript. Whether you are a complete beginner or have some familiarity with coding, this course will take you from the basics to building modern websites. If you want to create visually appealing and functional websites using only HTML, CSS, and JavaScript, this course is for you. This course is also suitable for individuals who want a hands-on environment to learn JavaScript fundamentals. Web development enthusiasts who want to enhance their skills and build responsive websites will find this course valuable. No prior knowledge of HTML, CSS, or JavaScript is required. About The Author Dr. Sahand Ghavidel: Dr. Sahand Ghavidel holds degrees in mathematics, electrical, and computer science, and has earned a doctoral degree from the Faculty of Engineering and IT, University of Technology, Sydney. He has researched for more than a decade about artificial algorithms and optimization. He has won several awards for his outstanding research and has published more than 40 ISI journals and attended many international conferences. The number of people using and citing Sahand's publications is significantly high, which is more than 1,600 citations, according to Google Scholar (April, 2021). He was also awarded the outstanding reviewer in the "International Journal of Electrical Power & Energy Systems" with a CiteScore of 5.79 in recognition of his contributions added to the quality of the journal. Sahand has more than 15 years of programming experience. The first programming language he learned was Visual Basic when he was just 12 years old. Since then, he has made hundreds of websites and apps with different programming languages such as JavaScript and Python.
    Note: "Published in August 2023.". - Online resource; title from title details screen (O'Reilly, viewed September 06, 2023)
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  • 24
    Online Resource
    Online Resource
    PyTorch ultimate 2023 : from basics to cutting-edge (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781801070089 , 1801070083
    Language: English
    Pages: 1 online resource (1 video file (17 hr., 39 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/2
    Keywords: Neural networks (Computer science) ; Machine learning ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: PyTorch is a Python framework developed by Facebook to develop and deploy deep learning models. It is one of the most popular deep-learning frameworks nowadays. You will begin with learning the deep learning concept. Dive deeper into tensor handling, acquiring the finesse to create and manipulate tensors while leveraging PyTorch's automatic gradient calculation through Autograd. Then transition to modeling by constructing linear regression models from scratch. After that, you will dive deep into classification models, mastering both multilabel and multiclass. You will then see the theory behind object detection and acquire the prowess to build object detection models. Embrace the cutting edge with YOLO v7, YOLO v8, and faster RCNN, and unleash the potential of pre-trained models and transfer learning. Delve into RNNs and look at recommender systems, unlocking matrix factorization techniques to provide personalized recommendations. Refine your skills in model debugging and deployment, where you will debug models using hooks, and navigate the strategies for both on-premise and cloud deployment. Finally, you will explore ChatGPT, ResNet, and Extreme Learning Machines. By the end of this course, you will have learned the key concepts, models, and techniques, and have the confidence to craft and deploy robust deep-learning solutions. What You Will Learn Grasp deep learning concepts and install tools/packages/IDE/libraries Master CNN theory, image classification, layer dimensions, and transformations Dive into audio classification using torchaudio and spectrograms Do object detection with the help of YOLO v7, YOLO v8, and Faster RCNN Learn word embeddings, sentiment analysis, and pre-trained NLP models Deploy models using Google Cloud and other strategies Audience This course is ideal for Python developers and data enthusiasts seeking to expand their skills. This will also benefit aspiring data scientists, machine learning engineers, AI enthusiasts, and anyone intrigued by the transformative potential of deep learning. Whether you are a beginner or possess some prior knowledge, this course offers a smooth progression that will empower you to develop, deploy, and innovate with deep learning models using PyTorch. Basic Python knowledge is required to fully engage with the material. About The Author Bert Gollnick: Bert Gollnick is a proficient data scientist with substantial domain knowledge in renewable energies, particularly wind energy. With a rich background in aeronautics and economics, Bert brings a unique perspective to the field. Currently, Bert holds a significant role at a leading wind turbine manufacturer, leveraging his expertise to contribute to innovative solutions. For several years, Bert has been a dedicated instructor, offering comprehensive training in data science and machine learning using R and Python. The core interests of Bert lie at the crossroads of machine learning and data science, reflecting a commitment to advancing these disciplines.
    Note: "Updated September 2023.". - Online resource; title from title details screen (O'Reilly, viewed October 10, 2023)
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  • 25
    Online Resource
    Online Resource
    Deep learning : deep neural network for beginners using Python (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781837633579 , 1837633576
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 28 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Deep learning (Machine learning) ; Neural networks (Computer science) ; Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Are you ready to start your path to becoming a deep learning expert? Then this course is for you. This course is step-by-step. In every new tutorial, we build on what we have already learned and move one extra step forward, and then we assign you a small task that is solved at the beginning of the next video. We start by teaching the theoretical part of the concept, and then implement everything as it is practically using Python. This comprehensive course will be your guide to learning how to use the power of Python to train your machine such that your machine starts learning just like humans, and based on that learning, your machine starts making predictions as well! We will be using Python as a programming language in this course, which is the hottest language nowadays if we talk about machine learning. Python will be taught from the elementary level up to an advanced level so that any machine learning concept can be implemented. You will also learn various steps of data preprocessing, which allows us to make data ready for machine learning algorithms. You will learn the general concepts of machine learning overall, which will be followed by the implementation of one of the essential ML algorithms, "Deep Neural Networks". Each concept of DNNs will be taught theoretically and will be implemented using Python. By the end of this course, you will be able to understand the methodology of DNNs with deep learning using real-world datasets. What You Will Learn Learn the basics of machine learning and neural networks Understand the architecture of neural networks Learn the basics of training a DNN using the Gradient Descent algorithm Learn how to implement a complete DNN using NumPy Learn to create a complete structure for DNN from scratch using Python Work on a project using deep learning for the IRIS dataset Audience This course is designed for anyone who is interested in data science or interested in taking their data-speak to a higher level. Students who want to master DNNs with real datasets in deep learning or who want to implement DNNs in realistic projects can also benefit from the course. You need to have a background in deep learning to get the best out of this course. About The Author AI Sciences: AI Sciences is a group of experts, PhDs, and practitioners of AI, ML, computer science, and statistics. Some of the experts work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. They have produced a series of courses mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, their objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory. Today, they also publish more complete courses for a wider audience. Their courses have had phenomenal success and have helped more than 100,000 students master AI and data science.
    Note: "Published in January 2023.". - Online resource; title from title details screen (O'Reilly, viewed February 20, 2023)
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  • 26
    Online Resource
    Online Resource
    Data science prerequisites : Numpy, Matplotlib, and Pandas in Python (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781803241616 , 1803241616
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 23 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Deep learning (Machine learning) ; Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Welcome to the course where you will learn about the NumPy stack in Python, which is an important prerequisite for deep learning, machine learning, and data science. In this self-paced course, you will learn how to use NumPy, Matplotlib, Pandas, and SciPy to perform critical tasks related to data science and machine learning. This involves performing numerical computation and representing data, visualizing data with plots, loading in, and manipulating data using DataFrames, performing statistics and probability, and building machine learning models for classification and regression. In this course, we will first start with NumPy; we will understand the benefits of NumPy array and then we will look at some complicated matrix operations, such as products, inverses, determinants, and solving linear systems. Then we will cover Matplotlib. In this section, we will go over some common plots, namely the line chart, scatter plot, and histogram. We will also look at how to show images using Matplotlib. Next, we will talk about Pandas. We will look at how much easier it is to load a dataset using Pandas versus trying to do it manually. Then we will look at some data frame operations useful in machine learning, such as filtering by column, filtering by row, and the apply function. Later, you will learn about SciPy. In this section, you will learn how to do common statistics calculations, including getting the PDF value, the CDF value, sampling from a distribution, and statistical testing. Finally, we will also cover some basics of machine learning that will help us start our deep learning journey. By the end of the course, we will be able to confidently use the NumPy stack in deep learning and data science. What You Will Learn Understand supervised machine learning with real-world examples Understand and code using the NumPy stack Make use of NumPy, SciPy, Matplotlib, and Pandas to implement numerical algorithms Understand the pros and cons of various machine learning models Get a brief introduction to the classification and regression Learn how to calculate the PDF and CDF under the normal distribution Audience This course is designed for anyone who is interested in data science and machine learning, who knows Python and wants to take the next step into Python libraries for data science, or who is interested in acquiring tools to implement machine learning algorithms. One must have decent Python programming skills and a basic understanding of linear algebra and probability for this course. About The Author Lazy Programmer: The Lazy Programmer is an AI and machine learning engineer with a focus on deep learning, who also has experience in data science, big data engineering, and full-stack software engineering. With a background in computer engineering and specialization in machine learning, he holds two master's degrees in computer engineering and statistics with applications to financial engineering. His expertise in online advertising and digital media includes work as both a data scientist and big data engineer. He has created deep learning models for prediction and has experience in recommendation systems using reinforcement learning and collaborative filtering. He is a skilled instructor who has taught at universities including Columbia, NYU, Hunter College, and The New School. He has web programming expertise, with experience in technologies such as Python, Ruby/Rails, PHP, and Angular, and has provided his services to multiple businesses.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 11, 2023)
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  • 27
    Online Resource
    Online Resource
    Build a super advanced trading bot on DYDX hosted on AWS with Python (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835083857 , 1835083854
    Language: English
    Pages: 1 online resource (1 video file (7 hr., 51 min.)) , sound, color.
    Edition: [First edition].
    DDC: 332.028541
    Keywords: Artificial intelligence Financial applications ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In this course, you will learn how to develop an end-to-end decentralized trading bot using Python, interact with Telegram for real-time notifications, and leverage the capabilities of AWS to run your code 24/7 in the cloud. The course begins with an introduction to the objectives and expectations, providing a clear roadmap for you. You will explore the concepts of statistical arbitrage and cointegration and understand how to trade the spread based on the Z-score. Dive into the nuances of hedge ratio and half-life and discover how to apply the Kelly Criterion for optimal position sizing and risk management. DYDX FastTrack empowers you to seamlessly configure MetaMask, Alchemy HTTP provider, and access DYDX credentials. Interact with the DYDX API for public price data retrieval and placing orders through the private API. This comprehensive guide includes environment setup in VS Code, Python VENV setup, and creating a collaborative GitHub repository. Master the integration process with environment variables for flawless operations. In the Bot Build stages, you will configure bot constants, construct market prices, and implement cointegration functions. Explore the BotAgent class, which forms the backbone of your trading bot, and effectively manage open trades and exits. Finally, deploy your bot on the AWS cloud, set up real-time Telegram updates, and achieve full automation with CRON. By the end of this course, you will be equipped with the knowledge and skills to develop and deploy an advanced decentralized trading bot on DYDX, leveraging the power of Python and AWS. What You Will Learn Create a statistical arbitrage strategy based on cointegration Implement position sizing and risk management techniques for successful trading Learn how to connect and access DYDX API for trading Understand the concept of z-score and its application in trading spreads Explore Telegram messaging integration for real-time trade notifications Gain proficiency in deploying your bot on AWS for continuous trading Audience This course is ideal for intermediate to advanced Python developers and cryptocurrency enthusiasts aiming to enhance their trading abilities on the DYDX platform. Basic proficiency in Python is required for in-depth coding and bot development. While prior knowledge of cryptocurrency trading strategies is beneficial, it is not mandatory. Access to a computer with internet connectivity is necessary to set up the development environment and interact with DYDX. Familiarity with blockchain technology and decentralized exchanges is recommended for better comprehension. About The Author XCHAIN ANALYTICS LTD: XCHAIN ANALYTICS LTD is a leading analyst and full-stack developer with expertise in Python and React. Their passion lies in discovering and promoting innovative ideas that are often overlooked in the hype-driven tech industry. With a focus on authenticity and practicality, XCHAIN ANALYTICS strives to share their knowledge and empower others through teaching. They believe in the power of continuous learning and experimentation and often find themselves exploring new ventures. However, they always return to teaching as their true calling, where they can put their ideas into action and help others effectively.
    Note: "Published in June 2023.". - Online resource; title from title details screen (O'Reilly, viewed August 7, 2023)
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  • 28
    Online Resource
    Online Resource
    Power BI Masterclass : 8: Python, finance, and advanced DAX (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835085400 , 1835085407
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 32 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658.4/038011
    Keywords: Microsoft Power BI (Computer file) ; Business intelligence Computer programs ; Information visualization Computer programs ; Dashboards (Management information systems) ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Microsoft Power BI is a powerful business analytics/data visualization tool that enables users to connect to various data sources, create interactive reports and dashboards, and gain insights from the data. With its intuitive interface and robust features, Power BI empowers users to make data-driven decisions and effectively communicate information with stakeholders. The course begins with setting up the Python environment for Power BI and then dives into using Python for data visualization in Power BI. It covers advanced DAX expressions and calculations, exploring a business dataset. You will also learn how to leverage Python libraries for data science in Power BI and create a balance sheet structure. The course includes applying custom visuals and culminates in creating a final dashboard. However, the Python concepts covered in this course cannot be considered comprehensive, only content related to Power BI usage requirements. Upon completing the course, you will gain advanced knowledge and skills in using Power BI for data visualization, analysis, and science. You will be proficient in setting up the Python environment in Power BI, leveraging Python for data visualization, and applying advanced DAX expressions and calculations, enabling you to effectively analyze/present data in various business scenarios. What You Will Learn Learn to integrate Python for data visualization in Power BI Master advanced DAX expressions and calculations Apply custom visuals to enhance your reporting capabilities Create balance sheet structures and evaluate balances using DAX Utilize Python's data science libraries for analysis in Power BI Build a comprehensive dashboard for effective data presentation Audience This course suits those interested in combining Power BI and Python and anyone wanting to explore Microsoft Power BI. If you want to excel in your work, explore new data analytics career opportunities, or lay the foundation for a successful future in the data era, this course equips you with the necessary skills. It also appeals to individuals seeking a better tool than QlikView and IBM Cognos. Prerequisites include Power BI, free to download with no additional costs, and a willingness to learn and explore new opportunities; all necessary files and materials will be provided. About The Author Dan We: Daniel Weikert is a 33-year-old entrepreneur, data enthusiast, consultant, and trainer. He is a master's degree holder certified in Power BI, Tableau, Alteryx (Core and Advanced), and KNIME (L1-L3). He is currently working in the business intelligence field and helps companies and individuals obtain vital insights from their data to deliver long-term strategic growth and outpace their competitors. He has a passion for learning and teaching. He is committed to supporting other people by offering them educational services and helping them accomplish their goals, gain expertise in their profession, or explore new careers.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 3, 2023)
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  • 29
    Online Resource
    Online Resource
    Shiny for Python ultimate : web development with Python (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781805122753 , 1805122754
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 8 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In the rapidly evolving landscape of web development, harnessing the power of Python to create dynamic and interactive web applications has become essential. This course empowers beginners with the tools to master web development using Python as their primary resource. Beginning with the fundamental building blocks of web development, you will explore Shiny for Python, a package that revolutionizes the creation of user interfaces, widgets, and interactive features. From structuring your app and designing layouts to implementing control widgets and reactivity, you will gain a deep understanding of web application development. The course then delves into hands-on projects, covering a diverse range of topics. You will learn how to fetch user input and create interactive apps, progressing to advanced concepts including climate change visualization with elements such as progress bars, interactive maps, and stylish UI components. Furthermore, the course provides invaluable insights into deployment strategies, including shinylive, GitHub Pages, Web Assembly, GitHub Gist, and Posit Connect, giving your creations a global reach. With practical exercises and real-world projects, this course is the ultimate guide to becoming a proficient Python web developer using Shiny. What You Will Learn Create user-friendly interfaces with control widgets and dynamic reactivity Implement climate change app features, progress bars, and interactive maps Learn deployment techniques such as GitHub Pages, shinylive, and shinyapps.io Understand Web Assembly and its role in deploying Python web applications Explore Posit Connect for seamless and efficient app deployment Develop proficiency in Python-based web app development strategies Audience This course is tailor-made for Python developers eager to venture into the world of web development. Whether you are a beginner seeking to build interactive web applications or an experienced developer looking to expand your skill set, this course is designed for you. No prior web development experience is required, but a basic understanding of Python is recommended to grasp the concepts effectively. About The Author Bert Gollnick: Bert Gollnick is a proficient data scientist with substantial domain knowledge in renewable energies, particularly wind energy. With a rich background in aeronautics and economics, Bert brings a unique perspective to the field. Currently, Bert holds a significant role at a leading wind turbine manufacturer, leveraging his expertise to contribute to innovative solutions. For several years, Bert has been a dedicated instructor, offering comprehensive training in data science and machine learning using R and Python. The core interests of Bert lie at the crossroads of machine learning and data science, reflecting a commitment to advancing these disciplines.
    Note: "Updated September 2023.". - Online resource; title from title details screen (O'Reilly, viewed October 11, 2023)
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  • 30
    Online Resource
    Online Resource
    Advanced chatbots with deep learning and Python (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781837632534 , 1837632537
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.33
    Keywords: Human-computer interaction ; Machine learning ; Python (Computer program language) ; Artificial intelligence
    Abstract: AI-powered chatbots are also capable of automating various tasks, including sales and marketing, customer service, and administrative and operational tasks. In this course about developing advanced chatbots with deep learning, we will understand their applications and build from scratch using deep learning with Python The course begins with a brief overview and the fundamentals of deep learning for chatbots. We will understand and compare conventional chatbots with deep learning-based chatbots. Then, we will explore self-learning chatbots, including generative chatbots and retrieval chatbots. You will learn more about deep learning-empowered chatbot features and compare and distinguish the abilities of conventional chatbots and self-learning chatbots in real action. We will focus on chatbot development with deep learning, tokenization, setting up an Encoder-Decoder, implementing RNN-based model development, and finally, training, testing, and validating the chatbot we developed. Upon completing this course successfully, you will relate concepts and understand theories of chatbots in various domains, understand and implement deep learning models for building real-world chatbots, and evaluate deep learning-based chatbot models. What You Will Learn Relate the concepts and theories for chatbots in various domains Compare conventional chatbots with deep learning-based chatbots Understand deep learning algorithms for chatbots Implement deep learning models for building real-world chatbots Learn about tokenization and setting up an encoder-decoder Implement recurrent neural network-based model development Audience This course is designed for individuals looking to advance their skills in applied deep learning, acquire knowledge regarding the relationships of data analysis with deep learning, wish to build customized chatbots for their applications, learn to implement deep learning algorithms for chatbots, and are passionate about rule-based and self-learning chatbots. Deep learning practitioners/scholars working on chatbot concepts would benefit from this course. No prior knowledge of chatbots, deep learning, data analysis, or mathematics is needed. Basic to intermediate Python knowledge is required. About The Author AI Sciences: AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences. Their courses have successfully helped more than 100,000 students master AI and data science.
    Note: "Published in February 2023."
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  • 31
    Online Resource
    Online Resource
    HTML5 : minutes to mastery (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781805124382 , 1805124382
    Language: English
    Pages: 1 online resource (1 video file (32 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.7/4
    Keywords: HTML (Document markup language) ; HTML editors (Computer programs) ; Web site development ; Web sites Design ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: HTML5 thrives as the backbone of modern web development, powering the dynamic and interactive websites that we encounter daily. In this course, we will guide you through the fundamentals of HTML5, to create your first web page in under an hour! Whether you are a complete beginner or looking to brush up on your skills, this course will introduce you to the foundational aspects of HTML. Starting with your first HTML page, you will understand the basic document structure and get familiar with heading and paragraph tags. As you dive into text markup, you will unlock the potential of HTML and CSS to enhance your webpages with captivating fonts and colors. Organizing content becomes a breeze with HTML lists, and multimedia integration takes your pages to the next level. You will learn to create seamless hyperlinks for smooth navigation and master the art of presenting data with visually appealing HTML tables. By the end of this course, you will be equipped with the essential knowledge and skills to confidently create basic webpages using HTML. What You Will Learn Understand the basic structure of HTML Comprehend the use of HTML tags Construct a webpage using HTML tags Grasp the correlation between tags and attributes Add audio, video, and image media on pages Create links within HTML documents Audience This course is appropriate for non-technical workers who need to understand HTML to markup basic documents, use in conjunction with web management software, or just become more digitally literate. Whether you are a complete beginner or looking to brush up on your HTML skills, this course has got you covered. About The Author Framework Tech, Mark Lassoff: Mark Lassoff's parents frequently claim that he was born to be a programmer. In the mid-eighties, when the neighborhood kids were outside playing kickball and throwing snowballs, Mark was hard at work on his Commodore 64 writing games in the BASIC programming language. Computers and programming continued to be a strong interest in college where Mark majored in Communications and Computer Science. After completing his college career, Mark worked in the software and web development departments at several large corporations. In 2001, on a whim, while his contemporaries were conquering the dot com world, Mark accepted a position training programmers in a technical training center in Austin, Texas. It was there that Mark fell in love with teaching programming, which has been his passion ever since. Today Mark is a top technical trainer, traveling the country providing training for software and web developers. Mark's training clients include the Department of Defense, Lockheed Martin, Discover Card Services, and Kai3ser Permanente. He has consulted for companies such as Dell, Target, Lockheed Martin, and government agencies including the US House of Representatives. In addition to traditional classroom training and consulting, Mark releases video tutorial training for aspiring programmers on his website, www.LearnToProgram.tv and Udemy.com. He lives in coastal Connecticut near the Connecticut River, where he is in the process of redecorating his house. Want to help?.
    Note: "Published in August 2023.". - Online resource; title from title details screen (O'Reilly, viewed August 14, 2023)
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  • 32
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    Online Resource
    Python 101 : from noob to nerd (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835465271 , 1835465277
    Language: English
    Pages: 1 online resource (1 video file (7 hr., 25 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Python, one of the most sought-after programming languages, has transformed the landscape of data analytics, application development, and automation. Our course is meticulously structured to guide you through the fundamentals of Python programming. Starting with an introduction to how organizations utilize Python to gain competitive advantages, we delve into the nuances of setting up Python on different operating systems, understanding the syntax, working with different data types, and mastering control flows. As you progress, you'll explore the depths of data structures in Python - lists, tuples, sets, and the all-powerful dictionaries. But that's just scratching the surface. We also introduce you to the world of data processing with Pandas, where you'll get hands-on experience with series, Dataframes, and advanced data manipulation techniques. By the end of this course, not only will you have a strong foundation in Python programming, but you'll also be equipped with the skills to apply these concepts in real-world scenarios, giving you a significant edge in your professional journey. With our course, you're not just learning; you're evolving into a more skilled and confident technical professional. What You Will Learn Dive into Python's role in data analytics and decision-making Write clear, efficient analytics scripts in Python Master handling numeric, text, and Boolean data types in Python Learn the essentials of Python's virtual environments Control code flow using if, elif, and else statements Learn the basics of Pandas, Series, and DataFrames Audience This course is tailor-made for individuals keen on mastering a versatile skill set that transcends multiple coding languages. Whether you're a novice exploring new avenues or a seasoned professional looking to diversify, if you possess a passion for acquiring skills that are highly sought-after in today's tech landscape. About The Authors Mike Meyers: Total Seminars, led by Mike Meyers and his esteemed team of IT pros, boasts over 1 million enrollments and has delivered unparalleled certification training to myriad organizations, including the FBI, UN, and the Department of Defense. Renowned for producing the top-selling CompTIA A+ and Network+ Certification guides, with over a million copies circulating, they have pioneered compelling video courses and supportive materials such as TotalTester practice tests and TotalSims lab simulations, all accessible on their website. Dartanion Williams: Meet Dartanion Williams, an instructor brimming with passion for IT. With a robust 18-year tenure, Dartanion has seamlessly blended curiosity with technical prowess, steering teams towards optimal performance. His accolades span from ushering Chicago's web-based student management to reforming EMS in Washington, D.C. Dartanion's technical arsenal includes SQL, JavaScript, Power BI, Tableau, and mobile app design, underscoring his versatility in the IT realm.
    Note: "Total Seminars.". - Online resource; title from title details screen (O'Reilly, viewed November 15, 2023)
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  • 33
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    Python : complete Python, Django, data science and ML guide (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835465141 , 1835465145
    Language: English
    Pages: 1 online resource (1 video file (50 hr., 34 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Machine learning ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: "Join us on an immersive Python programming journey, spanning over 50 hours of learning. Whether you're a novice or experienced, this course equips you with vital Python skills for careers and projects. Starting from the basics, grasp Python's core principles and proficiency in real-world functions. As Python's popularity grows, this course readies you for the rising demand for Python developers. You'll practice hand-on examples using Python's interpreter and Visual Studio Code with Code Runner to solidify your skills. With a focus on Data Science and Machine Learning, you'll master essential packages such as NumPy, Pandas, Matplotlib, and Scikit-learn, using the versatile Jupyter Notebook. The course extensively covers Python's fundamental aspects, spanning variables, lists, dictionaries, and venturing into advanced topics like classes, loops, modules, and creating virtual environments. The goal is to provide you with a solid Python foundation. You'll also gain insight into functional and object-oriented Python programming, making you a versatile coder. The course is thoughtfully structured, explaining not just ""how"" but also ""why"" we use specific methods and best practices. By course end, you'll harness Python's full potential for web and mobile app development, data science, machine learning, and game creation. What You Will Learn Grasp concepts such as data types, loops, and conditional statements to build a robust coding foundation Understand OOP principles like inheritance, encapsulation, and polymorphism for streamlined code Manipulate files, directories, and efficiently manage external modules through Python Master real-world datasets with NumPy, Pandas, Matplotlib and more Ensure code reliability through Python's error handling and master the nuances of PIP and virtual project isolation Audience This comprehensive Python course is tailored for a diverse audience. It's an excellent choice for beginners taking their first steps in programming. If you're interested in data science and machine learning, this course equips you with essential skills. Web developers can leverage Python for building web applications. Moreover, if you're keen on tasks involving machine learning and data processing, this course is for you. Game developers looking to create games using Python and Pygame will find this course invaluable. About The Author Bogdan Stashchuk: Bogdan Stashchuk has over 20 years of experience as a software engineering instructor. He excels at breaking down complex topics into easy-to-follow steps. His courses are designed with hands-on exercises, ensuring that learners can actively participate and apply what they learn. From start to finish, students can follow along and complete tasks just as Bogdan demonstrates in his lectures. He also includes challenging assignments with detailed solutions. This approach helps learners understand and remember the material long after they've completed the course. Through his dedication and expertise, Bogdan ensures a valuable and effective learning experience for everyone.".
    Note: "Updated October 2023.". - Online resource; title from title details screen (O'Reilly, viewed November 15, 2023)
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  • 34
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    Python for game programming : Pygame from A to Z (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835464809 , 1835464807
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 48 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Video games Programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Embark on a comprehensive journey into game development with our in-depth course, covering everything from the fundamentals to advanced techniques using Python and the powerful Pygame library. Start by understanding the capabilities of Pygame and learn how to set up a development environment for seamless coding. Explore the artistic side by drawing shapes on a surface and master the intricacies of handling keyboard events and frame rates. As you progress, add depth to your games by implementing boundaries, jump logic, and captivating background images. Gain proficiency in working with sprites, delving into object-oriented programming for efficient game structure. Learn to introduce projectiles, enemies, and collision detection, enhancing the interactive nature of your creations. You will also delve into advanced topics such as scrolling backgrounds, game difficulty levels, and dynamic elements like health bars and scoring systems. The course also provides hands-on experience in addressing common challenges, from fixing bugs to making interactive buttons. By the end, you will not only have a diverse portfolio of 2D games but also a robust skill set in Python and Pygame, positioning you as a proficient game developer ready to bring your creative visions to life. What you will learn Develop a variety of 2D games, including platformers, puzzles, and arcade-style games, from scratch Utilize Pygame's features for graphics, sound effects, and user input to create interactive and engaging gaming experiences Debug and optimize Pygame code for smooth gameplay and performance, handling different game states and events effectively Implement game physics and controls, covering aspects such as collision detection, sprite movement, and character animation in Pygame Manage game state and screen transitions, such as starting, pausing, and ending games, with efficient code structures Learn to deploy completed Pygame applications for wide distribution Audience This course is designed for aspiring game developers, Python programmers seeking skill enhancement, hobbyists eager to craft captivating games, and freelancers or entrepreneurs looking to monetize their creations. Whether you are starting your game development journey or aiming to diversify your skillset, this course provides tailored insights. Tailored to accommodate beginners yet comprehensive enough for intermediate programmers, this course takes you from the foundational principles of game development to creating your own games from scratch. About the Author Meta Brains: Meta Brains is a professional training brand developed by a team of software developers and finance professionals who have a passion for finance, coding, and Excel. They bring together both professional and educational experiences to create world-class training programs accessible to everyone. Currently, they're focused on the next great revolution in computing: The Metaverse. Their ultimate objective is to train the next generation of talent so that we can code and build the metaverse together!.
    Note: Online resource; title from title details screen (O'Reilly, viewed Decenber 5, 2023)
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  • 35
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    Web3 development for beginners : no coding skills required (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835888162 , 183588816X
    Language: English
    Pages: 1 online resource (1 video file (5 hr., 35 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7/2
    Keywords: Web site development ; Web applications ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Welcome to this course, where we demystify the realm of blockchain and programming, tailored for beginners. We kick off by unraveling the basics of blockchain, seamlessly transitioning into programming to ensure that even newcomers grasp the essentials. As we journey deeper, we delve into advanced topics such as Layer-2 blockchains and the intricacies of Ethereum. Navigate through practical insights into essential blockchain components using tools such as Etherscan. Progressing to NodeJS and JavaScript, we establish the foundation for understanding programming languages vital in the blockchain realm. You will also learn about the Solidity Fundamentals, equipping you to confidently read and write smart contracts. Uncover programming logic and explore Standards, unraveling the norms that underpin blockchain integrity. The course then delves into the fascinating world of blockchain economics, examining how economic principles shape decentralized ecosystems. Dive into ERC20 tokens, NFTs, supply and demand, markets, and liquidity pools, fostering a holistic comprehension of blockchain dynamics. By the course's conclusion, you will possess a robust understanding of blockchain and Web3 fundamentals, empowered with the ability to confidently read, write, and deploy smart contracts using the Solidity programming language. What you will learn Learn how a blockchain works Learn Solidity to read and write smart contracts on the Ethereum blockchain Learn to deploy with an ECR20 token Learn to connect an NFT to OpenSea Deploy and utilize smart contracts, gaining practical implementation skills Grasp blockchain economics to navigate and contribute to decentralized ecosystems Audience This course is perfect for those eager to explore Web3 development without any prior programming experience. Whether you are interested in NFT and token development, a developer new to blockchain, or simply looking to broaden your horizons in DeFi, NFTs, and Web3, this course is designed for you. Geared toward beginners, all it requires is a keen interest in blockchain technology. With step-by-step guidance, you will quickly grasp smart contracts and decentralized applications, unlocking exciting possibilities in the rapidly evolving world of Web3. About the Author Ralph Kuepper: Ralph Kuepper has worked in the web and software industry for over 15 years. He started his own company when he was 17 years old while still attending high school and college. Over the years, he has worked on projects for companies such as Adidas, KIA, and Honda. Coming from a traditional background of developing backends and websites using PHP and a monolithic approach, he has embraced and fine-tuned a Swift-based microservice approach for the last 4 years. His company, Skelpo Inc., has been actively involved in the development of the Vapor framework and has contributed a variety of open source microservices as well as related packages.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 3, 2023)
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    Online Resource
    The front-end web developer bootcamp : HTML, CSS, JS, and React (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781805129813 , 1805129813
    Language: English
    Pages: 1 online resource (1 video file (10 hr., 44 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7/2
    Keywords: React (Electronic resource) ; Web site development ; Java (Computer program language) ; HTML (Document markup language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This HTML, CSS, JS, and React course is a comprehensive training program covering essential web development topics. From HTML/CSS fundamentals to JavaScript and React.js components, gain skills to build dynamic and engaging websites About This Video Learn HTML, CSS, JavaScript, and React comprehensively on essential front-end web development skills Acquire hands-on practical experience working on real-world projects throughout the course Gain front-end web development concepts/skills to create functional and visually appealing websites In Detail This course covers essential topics including HTML and CSS fundamentals, creating responsive layouts, JavaScript for interactivity, introduction to React, building reusable components, working with APIs, and designing quality front-end UIs. Gain skills needed to work on front-end web development and create engaging and dynamic websites. This in-depth course covers HTML, CSS, JS, and React. You will learn HTML 5 features, CSS 3 styling techniques, JavaScript syntax and implementation, React.js components and hooks, DOM manipulation, working with APIs, and using libraries such as Material UI. Through hands-on projects and practical examples, we will build interactive and dynamic websites. Dive into HTML and CSS, learning tags, attributes, selectors, and styles. Build responsive layouts using CSS Grid and Flexbox. Add interactivity with JavaScript, including event listeners, DOM manipulation, and animations. Explore React's core concepts, building reusable components and handling state. Work with APIs to fetch and display data. Upon completion of the course, this course will equip you with the tools and knowledge to excel in front-end web development. From JavaScript basics to advanced app development, become a confident and up-to-date JavaScript developer.
    Note: "Published in June 2023.". - Online resource; title from title details screen (O'Reilly, viewed August 3, 2023)
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  • 37
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    Data science 101 : methodology, Python, and essential math (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781803242125 , 1803242124
    Language: English
    Pages: 1 online resource (1 video file (14 hr., 51 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.74
    Keywords: Databases ; Computer science ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: From data science methodology to an introduction to data science in Python, to essential math for data science About This Video Explain data science methodology, starting with business understanding and ending at deployment Identify the various elements of ML and NLP involved in building a simple chatbot Indicate how to create and work with variables, data structures, looping structures, and more In Detail The opening part of Data Science 101 examines some frequently asked questions. Following that, we will explore data science methodology with a case study. You will see the typical data science steps and techniques utilized by data professionals. Next, you will build a simple chatbot so you can get a clear sense of what is involved. The next part is an introduction to data science in Python. You will have an opportunity to master Python for data science as each section is followed by an assignment to practice your skills. By the end of the section, you will understand Python fundamentals, decision and looping structures, Python functions, how to work with nested data, and list comprehension. Finally, we will wrap up the two most popular libraries for data science--NumPy and Pandas. The last part delves into essential math for data science. You will get the hang of linear algebra along with probability and statistics. Our goal for the linear algebra part is to introduce all necessary concepts and intuition for an in-depth understanding of an often-utilized technique for data fitting called least squares. We will spend a lot of time on probability, both classical and Bayesian, as reasoning about problems is a much more difficult aspect than simply running statistics. By the end of this course, you will understand data science methodology and how to use essential math in your real projects. Audience This course is designed for people who are new to data science or who are interested in pursuing a career in data science, as well as those who wish to obtain a broad overview before diving into specialized data science topics. This course will also benefit students who want to master the fundamental arithmetic for data science or obtain an introduction to data science in Python. You need not have any prior experience in data science to take up this course.
    Note: "Updated in April 2022.". - Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 38
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    Online Resource
    Python in practice : 15 projects to master Python (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781804618486 , 1804618489
    Language: English
    Pages: 1 online resource (1 video file (20 hr., 45 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In this course, the initial few sections help you take a tour of programming in Python, covering all the basic to advanced concepts that are further used to build projects from scratch. You will create 15+ applications with Python. First, you will be creating a Dice Roller (a Python GUI application with Tkinter to generate random dice outputs) and Total Seconds and Days Counter. After that, you will create a Length Converter Python GUI application. Next, you will work on the image-to-icon converter to convert .png, .jpg, and .jpeg images into icons. You will work on a random element selector, perform data analysis and data visualization with the help of NumPy, Pandas, and matplotlib. You will also create a trees survey report, user credentials data, and sales data report. You will create eBook Store with Django 3 and an eCommerce website with HTML, CSS, and Bootstrap. You will also create a weight predictor, rainy or clear weather, and flavor predictor. Finally, you will make a rating bot, which will create a natural language processing model to rate comments and reviews automatically, and Face Recognizer that performs human face recognition with computer vision and OpenCV. By the end of this course, you will have learned the programming fundamentals to an advanced level with Python 3 and become an advanced-level programmer. What You Will Learn Learn about built-in functions in Python and how to create one Create a Python GUI application with Tkinter to generate random dice outputs Analyze the sales report in a week with Python data analysis Generate a survey report with data science Create an NLP model to rate comments and reviews automatically Perform human face recognition with computer vision and OpenCV Audience This course is ideal for individuals curious about Python programming, beginners at programming, and Python developers curious about data science, data analysis, and data visualization. This will also help full-stack web developers, artificial intelligence researchers, machine learning researchers, and GUI application developers. You just need curiosity and enthusiasm to get going with this course; the rest of everything will be taught from scratch. About The Author Rahul Mula: Rahul Mula is a developer specializing in Python, Flutter, and web development. He was really intrigued the first time he learned about programming and realized what could be done with it. He loves to explore different technologies and create applications to build something new. He has developed Keyviz--the free and open-source tool to visualize keystrokes in real-time. He has written books and created courses on Python programming teaching thousands of students.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 21, 2022)
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  • 39
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    Online Resource
    Web scraping tutorial with Scrapy and Python for beginners (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781804615317 , 1804615315
    Language: English
    Pages: 1 online resource (1 video file (7 hr., 39 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Data mining ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Web scraping is the process of scraping websites and extracting desired data from them, and in this course, you will learn and master web scraping using Python and Scrapy with a step-by-step and in-depth guide. The course starts with introducing you to the web scraping process (with infographics--no code); learn how to scrape data from websites and how to use Scrapy for this. After getting the basics clear, you will perform web scraping using Python and the Scrapy framework! After you have built an actual web scraper, you will get an idea of how web scraping works first-hand. You will then look at the essential concepts of web scraping and Scrapy. Learning how to scrape websites and the essentials already makes you a complete web scraper but you will take this even further and learn the advanced web scraping techniques to become an expert. Advanced topics such as crawling multiple pages and extracting data--pagination, scraping data using Regular Expressions (RegEx), scraping dynamic or JavaScript-rendered websites using Scrapy Playwright--will be thoroughly explained. Finally, you will perform three projects at the end--Champions League Table [ESPN], Product Tracker [Amazon], and Scraper Application [GUI]. By the end of this course, you will have learned how to do web scraping using Python and Scrapy. What You Will Learn Send a request to a URL to scrape websites using Scrapy Spider Get the HTML Response from the URL and parse it for web scraping Use Scrapy shell commands to test and verify CSS Selectors or XPath Export and save scraped data to online databases such as MongoDB Scrape data from multiple web pages using Scrapy pagination Login to websites using Scrapy FormRequest with CSRF tokens Audience This course is ideal for beginner Python developers who want to master web scraping or freelance web scrapers looking to polish their skills. Any individual and college students working on their projects and wanting to master web scraping using Python and the Scrapy module, then this course is for you. A basic understanding of Python programming is a must and elementary-level knowledge of HTML basics will be a plus but not mandatory. About The Author Rahul Mula: Rahul Mula is a developer specializing in Python, Flutter, and web development. He was really intrigued the first time he learned about programming and realized what could be done with it. He loves to explore different technologies and create applications to build something new. He has developed Keyviz--the free and open-source tool to visualize keystrokes in real-time. He has written books and created courses on Python programming teaching thousands of students.
    Note: "Published in November 2022.". - Online resource; title from title details screen (O'Reilly, viewed December 12, 2022)
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  • 40
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    Online Resource
    PEP8 guidelines : Python clean coding (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781837632107 , 1837632103
    Language: English
    Pages: 1 online resource (1 video file (5 hr., 4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: The PEP 8 document provides guidelines and best practices on how to write Python code. If you follow PEP 8, you can be sure that you have named your variables well. You will know that you have added enough whitespace so it's easier to follow logical steps in your code. You will also have commented on your code well. All this will mean your code is more readable and easier to come back to. As a beginner, following the rules of PEP 8 can make learning Python a much more pleasant task. We will start by installing Python and PyCharm on our systems followed by understanding the basics of Python. We will cover core concepts such as objects and data types. You will learn to take inputs from the user, and understand arithmetic and logical operations as well as loops in Python. You will learn about PEP8 code layout as well as PEP 8 imports and dunder names. You will also understand string quotes, whitespace in functions, and logical operation. Lastly, you will learn about programming recommendations and create two practice projects to help you get familiar with the topics covered. By the end of the course, you will be able to develop full-scale professional Python projects. What You Will Learn Learn the best clean code practices in Python Develop full scale professional Python projects Write Python code that conforms to PEP 8 Learn about exceptions, global and local variables Learn about arithmetic and logical operations Audience This course can be taken by Software Engineers that wish to improve their coding efficiency. It can also be taken by computer science students that want to code professionally and anyone with a desire to learn Python and PEP8. A basic understanding of any programming language is needed. About The Author Martin Yanev: Martin Yanev is an internationally acclaimed aerospace software engineer. He holds a bachelor's degree in aeronautical engineering and a master's degree in aerospace dynamics. He is an associate member of the Royal Aeronautical Society in the United Kingdom and is ISTQB certified with solid experience in systems test and integration. He became adept at programming skills in the past seven years by developing and testing complex software algorithms for aerospace applications. He is currently involved in the Single European Sky Project, which aims to increase the European airspace capacity by applying cutting-edge air traffic management systems.
    Note: "Published in November 2022.". - Online resource; title from title details screen (O'Reilly, viewed December 12, 2022)
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  • 41
    Online Resource
    Online Resource
    The art of doing : Python network applications with sockets (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781837631599 , 183763159X
    Language: English
    Pages: 1 online resource (1 video file (14 hr., 34 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In this course, you will learn how to set up your own home network with static IP addresses and port forwarding so that anyone can access your programs over the Internet. Then you will learn how to set up a simple two-way chat in the terminal using the Socket module. Next, you will learn how to use the threading module to create a simple chat room in the terminal and how to use the Tkinter module to create a GUI chat room like the old AOL chat rooms. Later, we will look at how to create an advanced GUI chat room with admin window using the JSON module, and finally, how to create your own online multiplayer game using the Pygame module. As this is a project-based course, each project builds on the knowledge gained during the previous projects. In our culminating project, when we attempt to create our own online multiplayer game, we will be generating IPV4/TCP sockets to connect computers to a server running on a machine with a static IP and port forwarding enabled, creating various threads to run processes concurrently on our machines, we will use JSON to serialize python objects such as our game state and game players, and have a fully interactive GUI interface using Pygame. By the end of this course, you will have multiple projects you can share with friends or family, have them run a client script from their house, connect to your server script, and show off all you learned. What You Will Learn Use the socket module to create a terminal-based two-way chat Use the threading module to create a terminal-based chat room Use a Tkinter module to make a GUI chat room Configure router to allow communication from an external network Use the JSON/Pickle modules to build an advanced GUI chat room with an admin window Use the Pygame module to create an online multiplayer game Audience This intermediate course is intended for students with a basic understanding of Python and core programming concepts as well as comfort levels with both functional and object-oriented programming, as both will be used in the course's second half. Also, who is interested in learning how to write programs that can work over a network and communicate with one another. Although it will be helpful to have prior knowledge of different Python modules, we will take the time to teach you everything you need to know to construct the program in this course. About The Author Michael Eramo: Michael Eramo is a life-long learner, a self-taught programmer, and an experienced educator. He holds official bachelor's degrees in music, education, and physics and a master's in mathematics. He is also a Microsoft certified software developer. He has years of experience as a high school physics teacher, computer science teacher, and college mathematics teacher. He is a part of the New York State Master-Teacher Program, a network of more than 800 outstanding public-school teachers throughout the state who share a passion for STEM learning and for collaborating with colleagues to inspire the next generation of STEM leaders.
    Note: "Published in November 2022.". - Online resource; title from title details screen (O'Reilly, viewed December 12, 2022)
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  • 42
    Online Resource
    Online Resource
    Figma for UI/UX : master web design in Figma (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781803246703 , 1803246707
    Language: English
    Pages: 1 online resource (1 video file (11 hr., 27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7/2
    Keywords: Figma (Electronic resource) ; Web sites Design ; Web site development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn from a beginner-friendly and highly practical course on everything you need to know about modern web design using Figma. About This Video Work on real-world projects that are actually live and have visitors and clients Discover the best tips and tricks that will take you from beginner to advanced user in a very short time Explore case studies where the author explains in detail the most common mistakes In Detail Figma is a vector graphics editor and prototyping tool that is primarily web-based, with additional offline features enabled by desktop applications for macOS and Windows. The Figma mobile app for Android and iOS allows viewing and interacting with Figma prototypes on real-time mobile devices. This course will teach you everything you need to know about modern web design using Figma, one of the best design programs. The course is beginner-friendly--we will take it step by step and learn through fun exercises. You will look at UI and UX--all the essential principles you have to know. You will learn about responsive design: transform the desktop version into the mobile version. Check how to prepare the design for coding: make coders and clients happy. See different design principles that can be applied to any project. Finally, find out what clients want from you--what assets/deliverables and in what format. You will also use Zeplin to bridge the gap between designers and engineers. It takes designs from Figma and exports them into a format that generates code snippets, design specs, and assets. By the end of this course, you will become a well-versed and confident individual to create modern web designs using Figma. You can get freelance projects in this arena and open up a new world in the field of web designing. Audience This course is great for both beginners and advanced users that want to learn modern web design. Website developers that want to learn how to design websites and individuals that want to know how to transform the desktop version of a website to the mobile one can get the most out of this course. This will also help designers that don't know the latest web design trends and principles and anyone who wants a life skill they can depend on--whether for a new career or another income stream. Figma is totally free. All you need is a computer and a bit of time.
    Note: "Updated in July 2022.". - Online resource; title from title details screen (O'Reilly, viewed August 9, 2022)
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  • 43
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    Online Resource
    Practical CSS3 mastery course (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781803232324 , 1803232323
    Language: English
    Pages: 1 online resource (1 video file (9 hr., 23 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7/2
    Keywords: Web site development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn everything there is to know about CSS3 in this course through practical implementation About This Video Learn how to apply various CSS properties in different scenarios Learn the basics of web development and debugging Build responsive websites using the core HTML5 and CSS3 concepts In Detail If you have been considering learning web development or becoming a full-stack developer, this course will not only teach you about CSS3 but will also force you to put it all into practice like a pro. Many students simply avoid front-end technologies because they believe they are not their cup of tea, but this course will change your mind and turn you into a developer by showing you how to put the principles into practice without having to recall anything. In this course, we will first look at the basics of web development, then move on to see what CSS is. After that, we will go ahead and do the installation and setup for our local development environment. Then we will see the different techniques that we can use for debugging using developer tools. Next, we will move on to see different kinds of selectors, fronts, and backgrounds in CSS. We will move on to the next concepts of box model, margin, and padding. After that, we will see how the display, position, float, and Z-index work in CSS. Next, we will check out an important property for Flexbox along with media queries and pseudo-selectors for responsive web design, and then move on and see how to use shadow, animation, transition, and transform with CSS, and much more. You will be able to quickly apply everything you have learned from this course to any project involving front-end programming by the time it is over. Audience Anyone interested in beginning a career in web development or any backend developer who wants to transition to full-stack development should take this course as this course will start with the basics of CSS.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 9, 2022)
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  • 44
    Online Resource
    Online Resource
    Deep learning CNN : convolutional neural networks with Python (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781803243726 , 1803243724
    Language: English
    Pages: 1 online resource (1 video file (15 hr., 28 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Deep learning (Machine learning) ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn Convolution Neural Networks using TensorFlow, CNN for Image Recognition, and CNN for Object Detection. Understand the concepts and methodologies of CNNs with respect to data science with live coding throughout. About This Video Learn from easy-to-understand, exhaustive, expressive, 75+ videos along with detailed code notebooks Structured course with solid basic understanding and moving ahead with the advanced practical concepts Practical explanation and live coding with Python to build your own application In Detail Convolutional Neural Networks (CNNs) are considered game-changers in the field of computer vision, particularly after AlexNet in 2012. They are everywhere now, ranging from audio processing to more advanced reinforcement learning. So, the understanding of CNNs becomes almost inevitable in all fields of data science. With this course, you can take your career to the next level with an expert grip on the concepts and implementations of CNNs in data science. The course starts with introducing and jotting down the importance of Convolutional Neural Networks (CNNs) in data science. You will then look at some classical computer vision techniques such as image processing and object detection. It will be followed by deep neural networks with topics such as perceptron and multi-layered perceptron. Then, you will move ahead with learning in-depth about CNNs. You will first look at the architecture of a CNN, then gradient descent in CNN, get introduced to TensorFlow, classical CNNs, transfer learning, and a case study with YOLO. Finally, you will work on two projects: Neural Style Transfer (using TensorFlow-hub) and Face Verification (using VGGFace2). By the end of this course, you will have understood the methodology of CNNs with data science using real datasets. Apart from this, you will easily be able to relate the concepts and theories in computer vision with CNNs. Audience This course is designed for beginners in data science and deep learning. Any individual who wants to learn CNNs with real datasets in data science, learn CNNs along with its implementation in realistic projects, and master their data speak will gain a lot from this course. No prior knowledge is needed. You start from the basics and slowly build your knowledge of the subject. A willingness to learn and practice is just the prerequisite for this course.
    Note: "Updated in August 2022.". - Online resource; title from title details screen (O'Reilly, viewed September 13, 2022)
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  • 45
    Online Resource
    Online Resource
    Concurrent and parallel programming in Python (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781804611944 , 1804611948
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 9 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Computer programming ; Python (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In a big data project, a plethora of information is retrieved, big numbers are crunched on our machine, or both. If the coding is sequential or synchronous, our application will struggle to execute. Two mechanisms to alleviate such bottlenecks are concurrency and parallelism. In Python, concurrency is represented by threading, whereas multiprocessing achieves parallelism. This course begins with an introduction about potential programming speed bottlenecks and solving them. You will delve into Python concepts and create a Wikipedia Reader, Yahoo Finance Reader, Queues, and Master Scheduler. You will build a multi-threaded program to grab data from the Internet and parse and save them into a local database. Implement multiprocessing in Python, which lets us use multiple CPUs in our code. Learn about threading, multiprocessing, asynchronous wait, locking, multiprocessing queues, Pool Map Multiple Arguments, writing asynchronous programs, and combining async and multiprocessing. Upon completion, we can spread our workload over all cores available on the used machine. We will combine both elements, multiprocessing with asynchronous programming, to maximize benefit and CPU resource usage and minimize the time spent waiting for IO responses. You will create multi-threaded, asynchronous, multi-process programs to make programs run faster. What You Will Learn Learn to use concurrency and parallelism in Python Write multi-threaded programs in Python to reduce coding lengths Write multi-process programs that execute even faster Understand the differences between concurrency and parallelism Create asynchronous programs in Python by adding concurrency Spread workload over all the cores available on a machine being used Audience This course is aimed at intermediate- to mastery-level seeking programmers, API developers, web developers, and application developers who know basic- to intermediate-level Python coding beforehand. The topics on concurrency and parallelism expect one to be aware of basic to intermediate understanding of coding on Python. Prior knowledge of basic Python coding is desirable for optimal benefit from this course. About The Author Maximilian Schallwig: Maximilian Schallwig is a data engineer and a proficient Python programmer. He holds a bachelor's degree in physics and a master's degree in astrophysics. He has been working on data for over five years, first as a data scientist and then as a data engineer. He can talk endlessly about big data pipelines, data infrastructure, and his unwavering devotion to Python. Even after two unsuccessful attempts in high school, he still decided to learn Python at the University. He cautiously stepped into the realm of data, beginning with a simple Google search for "what does a data scientist do" He was determined to pursue a career in data science to become a data engineer by learning about big data tools and infrastructure design to build scalable systems and pipelines. He enjoys sharing his programming skills with the rest of the world.
    Note: "Published in November 2022.". - Online resource; title from title details screen (O'Reilly, viewed November 28, 2022)
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  • 46
    Online Resource
    Online Resource
    Spark programming in Python for beginners with Apache Spark 3 (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 37 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Computer programming ; Python (Computer program language) ; Programmation (Informatique) ; Python (Langage de programmation) ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Build data engineering solutions with Spark programming in Python About This Video Build your own data engineering solutions using Spark structured API in Python Gain an in-depth understanding of the Apache Hadoop architecture, ecosystem, and practices Learn to apply Spark programming basics In Detail If you are looking to expand your knowledge in data engineering or want to level up your portfolio by adding Spark programming to your skillset, then you are in the right place. This course will help you understand Spark programming and apply that knowledge to build data engineering solutions. This course is example-driven and follows a working session-like approach. We will be taking a live coding approach and explaining all the concepts needed along the way. In this course, we will start with a quick introduction to Apache Spark, then set up our environment by installing and using Apache Spark. Next, we will learn about Spark execution model and architecture, and about Spark programming model and developer experience. Next, we will cover Spark structured API foundation and then move towards Spark data sources and sinks. Then we will cover Spark Dataframe and dataset transformations. We will also cover aggregations in Apache Spark and finally, we will cover Spark Dataframe joins. By the end of this course, you will be able to build data engineering solutions using Spark structured API in Python. Audience This course is designed for software engineers willing to develop a data engineering pipeline and application using Apache Spark; for data architects and data engineers who are responsible for designing and building the organization's data-centric infrastructure, for managers and architects who do not directly work with Spark implementation but work with the people who implement Apache Spark at the ground level. This course does not require any prior knowledge of Apache Spark or Hadoop; only programming knowledge using Python programming language is required.
    Note: "Updated in February 2022. - "ScholarNest.". - Online resource; title from title details screen (O'Reilly, viewed March 10, 2022)
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  • 47
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    Online Resource
    ASP.NET Core API and Blazor development (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781803243658 , 1803243651
    Language: English
    Pages: 1 online resource (1 video file (12 hr., 54 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.7/882
    Keywords: Microsoft .NET Framework ; Web site development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to build a fully data-driven REST web API using innovative technology, single-page application client-side UI using Blazor server and Blazor WebAssembly, and deploy to Microsoft Azure Cloud. About This Video Build a complete data-driven .NET Core API From scratch Build a fully data-driven REST web API using innovative technology Complete working files hosted on GitHub to make it easier to replicate the code being demonstrated In Detail ASP.NET Core is Microsoft's modern, cross-platform framework for building enterprise-ready web applications. It is a suite of frameworks allowing us to develop RESTful APIs and now, thanks to Blazor, build robust client apps to interact with our API. This course starts with setting up the environment configuration, then you will connect to an existing database using Entity Framework Core, look at progressive web applications with Blazor, set up logging using Serilog, and API documentation using SwaggerUI. You will understand user authentication using JWT, store JSON web tokens using local browser storage, and handle the Blazor application user authentication state. Then you will consume REST web API in a Blazor application, see how to use models, DTOs and AutoMapper, manage packages with NuGet Manager, set up GitHub for source control, and finally, deploy applications and databases to Microsoft Azure. By the end of the course, you will have built a single-page application using Blazor that will serve as a stand-alone client app, consuming and interacting with an API. Once you have finished the course, you will have moved around in Visual Studio and examined logic and syntax errors so much that it will be second nature for you when working in the .NET environment. Audience This course is for anyone who wants to learn REST API development with .NET Core and who wants to learn Blazor server development. This course will also benefit those individuals who want to learn Blazor WebAssembly development. As a prerequisite, you should have at least three months of experience in programming in C#. You will need to have some knowledge of object-oriented programming, if not C#. Even if you do not have much exposure to the .NET development stack, this course is very beginner-friendly and chock-full of development tips.
    Note: "Updated in June 2022.". - Online resource; title from title details screen (O'Reilly, viewed July 12, 2022)
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  • 48
    Online Resource
    Online Resource
    Data analytics using Python visualizations (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781804614839 , 1804614831
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 28 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.133
    Keywords: Computer science ; Python (Computer program language) ; Electronic data processing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Master data science, ML, and analytics with powerful visualizations using Matplotlib, Seaborn, and Bokeh. About This Video The art of presenting data in the form of powerful, innovative, and intuitive visualizations In-depth coverage of Matplotlib, Seaborn, and Bokeh visualization libraries Use of data analytics techniques/Exploratory Data Analysis (EDA) using several data generations and manipulation methods In Detail If you are working on machine learning projects and want to find patterns and insights from your data on your way to building models, then this course is for you. This course takes a holistic approach to teach visualization techniques. We will be taking real-life business scenarios and raw data to go through detailed Exploratory Data Analysis (EDA) techniques to prepare the raw data to suit the appropriate visualization needs. You will learn about data analytics and exploratory data analysis techniques using multiple different data structures with NumPy and Pandas libraries. You will also learn various chart/graph types, customization/configuration, and vectorization techniques. We will look at advanced visualizations using business applications such as single and multiple bar charts, pie charts, and bubble charts with the vectorization of properties. We will further explore Seaborn Boxplot, Violin plot, Categorical Scatterplot, and how to create heat maps. By the end of the course, you will learn the foundational techniques of data analytics and deeper customizations on visualizations. You will be able to confidently use Python visualization libraries such as Matplotlib, Seaborn, and Bokeh in your future projects.\ Audience This course is for Python and machine learning developers, data scientists, data analysts, and business analysts. This course will also be beneficial to leaders, managers, and anyone whose job involves presenting data in the form of visuals, which include developers, architects, and system analysts. A basic understanding of Python will be helpful, but not mandatory.
    Note: "Updated in June 2022.". - Online resource; title from title details screen (O'Reilly, viewed July 6, 2022)
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  • 49
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    Online Resource
    Reinforcement learning and deep RL Python (theory and projects) (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781804610626 , 1804610623
    Language: English
    Pages: 1 online resource (1 video file (14 hr., 18 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.31
    Keywords: Reinforcement learning ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: A comprehensive, hands-on, and easy-to-understand course on reinforcement learning. Learn about deep Q-Learning, SARSA, deep RL, car racing and trading projects, and be prepared with interview questions. About This Video Learn from a comprehensive yet self-explanatory course, divided into 145+ videos along with detailed code notebooks Structured course with solid basic understanding and advanced practical concepts Up-to-date, practical explanations and live coding with Python to build six projects at an adequate pace In Detail Reinforcement learning is a subset of machine learning. In the RL training method, desired actions are rewarded, and undesired actions are punished. Deep RL is also a subfield of machine learning. In deep RL, intelligent machines and software are trained to learn from their actions in the same way that humans learn from experience. Deep RL has the capability to solve complex problems that were unmanageable by machines in the past. Therefore, the potential applications of deep RL in various sectors are enormous. We will start with an introduction to reinforcement learning and look at some case studies and real-world examples. Then you will look at Naïve/Random solutions and RL-based solutions. Next, you will see different types of RL solutions such as hyperparameters, Markov Decision Process, Q-Learning, and SARSA followed by a mini project on Frozen Lake. You will then learn deep learning/neural networks and deep RL/deep Q networks. Next, you will work on car racing and trading projects. Finally, you will go through some interview questions. By the end of this course, you will be able to relate the concepts and practical applications of reinforcement and deep reinforcement learning with real-world problems and implement any project that requires reinforcement and deep reinforcement learning knowledge from scratch. Audience This course is designed for beginners who know absolutely nothing about reinforcement and deep reinforcement learning, the ones who want to develop intelligent solutions, and the ones who want to learn the theoretical concepts first before implementing them using Python. An individual who wants to learn PySpark along with its implementation in realistic projects, machine learning or deep learning lovers, and anyone interested in artificial intelligence will be highly benefitted. You would need prior knowledge of Python, an elementary understanding of programming, and a willingness to learn and practice.
    Note: "Published in September 2022.". - "AI Sciences.". - Online resource; title from title details screen (O'Reilly, viewed October 4, 2022)
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  • 50
    Online Resource
    Online Resource
    The ultimate guide to Python programming with Python 3.10 (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781804612767 , 1804612766
    Language: English
    Pages: 1 online resource (1 video file (14 hr., 30 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Python is a fantastic object-oriented programming language that lets you use functional and OOP paradigms. Python offers several benefits compared to other programming languages such as Java, C++, or R. It is a dynamic language, with high-level datatypes. Python is easy to learn for beginners, being more readable and intuitive. With this course, you will learn about computer architecture, programming concepts, and what terminals are. You will install and set up Python on your computer and learn about hands-on programming with Python basics, client-info application, and console IO. You will code with data types, loops, functions, classes and objects, and modules and packages. Finally, you will learn about strings, stack and data structures, pip - python package manager, virtual environments, iterables, File IO, threading and multiprocessing, and debugging. Upon completion, you can easily handle any programming project and use core Python features. Create different array data structures, lists, tuples, sets, typed arrays, stacks, queues, and priority queues. Use structural pattern matching with match-case statements in Python 3.10 and third-party packages and create virtual environments for projects. What You Will Learn Implement basic data structures and basic programming with Python Create array structures such as a list, tuple, set, stack, and queue Learn object-oriented programming with Python classes and objects Use structural pattern matching with case statement in Python 3.10 Use Python REPL to write code from the terminal and test ideas Create virtual environments for projects with third-party packages Audience This course is beneficial for those with some skills in Python or if you are looking to refresh your skills and advance to the next level. Even if you can use a computer, that's completely fine as the course will train you to become a professional in coding. Complete newbies who want to learn to program or even beginner Python developers seeking expertise in Python programming can ace Python with this course. The course does not have any special requirements except turning the computer on and watching and learning from the course phase-by-phase. About The Author Rahul Mula: Rahul Mula is a developer specializing in Python, Flutter, and web development. He was really intrigued the first time he learned about programming and realized what could be done with it. He loves to explore different technologies and create applications to build something new. He has developed Keyviz--the free and open-source tool to visualize keystrokes in real-time. He has written books and created courses on Python programming teaching thousands of students.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 21, 2022)
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  • 51
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    Online Resource
    Python for Software Engineering Bootcamp (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781804617205 , 1804617202
    Language: English
    Pages: 1 online resource (1 video file (41 hr., 8 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. This hands-on course will help you become a skilled software engineer with no prior programming experience needed. You will start by learning the basics of Python such as variables, strings, Booleans, lists, tuples, dictionaries, generators, and so on as well as learning to write the first service test. Furthermore, you will learn to send requests in Python and understand how to modify permissions. You will also be able to explore Docker and SQL and learn to set up a local PostgreSQL Server. You will learn how to create tables using query results. Moving further in the course, you will learn to integrate databases into your application and create database models in Python. You will be introduced to Redis and learn data compression. You will also get to know how to set up a GitHub desktop, and clone a repository as well as GitHub CLI. You will wrap up the course by having a look at threading in Python, multiprocessing pool, and async wait statements. By the end of this course, you will feel comfortable with developing applications, have a portfolio item, and be ready to apply for software engineer positions and take on those technical interviews. What You Will Learn Learn to write proper and clean Python code Learn to develop APIs in Python Learn to write scalable applications in Python Learn to interact with databases in code Learn to add caching to your code Learn to properly test your code Audience This course is for complete beginners who want to learn how to program and become software engineers. No prior programming experience is needed, you will learn everything you will need to know on the course. About The Author Maximilian Schallwig: Maximilian Schallwig is a data engineer and a proficient Python programmer. He holds a bachelor's degree in physics and a master's degree in astrophysics. He has been working on data for over five years, first as a data scientist and then as a data engineer. He can talk endlessly about big data pipelines, data infrastructure, and his unwavering devotion to Python. Even after two unsuccessful attempts in high school, he still decided to learn Python at the University. He cautiously stepped into the realm of data, beginning with a simple Google search for "what does a data scientist do" He was determined to pursue a career in data science to become a data engineer by learning about big data tools and infrastructure design to build scalable systems and pipelines. He enjoys sharing his programming skills with the rest of the world.
    Note: "Published in November 2022.". - Online resource; title from title details screen (O'Reilly, viewed December 12, 2022)
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  • 52
    Online Resource
    Online Resource
    The complete Python course (2022) (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781837636778 , 183763677X
    Language: English
    Pages: 1 online resource (1 video file (5 hr., 13 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Python is a powerful object-oriented programming language used in many development areas and is considered a perfect language for scripting. Python is a cross-platform programming language that allows you to code faster with lesser code writing required. The course begins with a complete introduction to the capabilities and features of Python and how to set up the language on your computer along with PyCharm IDE. You will learn about multiple programming-paradigms (object-oriented, functional, and imperative). You will explore the concepts of an interpreted language that is dynamically typed and cross-platform. The course advances to explain the concepts of OOP: variables, user input, statements, functions, classes, and objects. You will learn about functions, tuples, dictionaries, and lists in Python. You will also explore various operator modules including math, statistics, and random modules. You will work on practical examples to understand the concepts of Python programming well. Upon completion, you will master advanced-level programming skillsets of Python and execute codes successfully. You will be able to complete your quest for learning to program using Python. Using the various built-in Python modules, you will grasp a must-know skill for data science and interpretation. What You Will Learn Learn multiple programming paradigms (OOPs and functional programs) Learn variables, classes, objects, tuples, strings, and operators Use dynamically typed interpreted language for lesser coding lines Create lists, loops, functions, tokens, sets, and dictionaries Understand cross-platform, dynamic, interpreted, and intuitive coding Use random, math, and statistical operators to handle data Audience This course is designed for beginners in programming and those who want to master Python programming skills. Intermediate-level Python programmers who want to enhance their Python Programming Skills and students and Engineers who wish to learn Python as part of their academics. This course would also benefit professional programmers who want to switch to Python Programming from alternative coding platforms. The course only requires the learners to have basic computer knowledge to gain from this course, and no other learning prerequisites are required. About The Author Amit Diwan: Studyopedia was founded by Amit Diwan in 2018 after working for Tutorialspoint , IIT, IASRI, Sitepoint, DU, and C# Corner. Studyopedia sells courses on Udemy, Tutorialspoint, Geeksforgeeks, and Skillshare, providing video courses to master various technologies and programming languages, databases, frameworks, Python, data science, machine learning, Java, Android, C/C++, HTML5, Bootstrap, JavaScript, jQuery, PHP, CSS, WordPress, Drupal, Joomla, Magento, osCommerce, OpenCart, PrestaShop, and other disciplines. Studyopedia delivers high-quality video courses to millions of students and professionals enrolled through their website on multiple programming languages and technologies.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 5, 2023)
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  • 53
    Online Resource
    Online Resource
    The complete Bootstrap beginners course with 100+ examples (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781837638291 , 1837638292
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 37 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.76
    Keywords: Bootstrap (Computer program) Study guides Examinations ; Web site development ; Bootstrap (Computer program) ; Examinations ; Web site development ; Instructional films ; Internet videos ; Nonfiction films ; Study guides ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Bootstrap is a free, open-source, front-end development framework to create websites and web applications. Bootstrap is designed for the responsive development of mobile-first websites and provides a collection of syntax for template designing. It contains HTML, CSS, and JavaScript-based design templates for typography, forms, buttons, navigation, and other interface components. This course begins with an introduction to the concepts and components of Bootstrap and demonstrates how to set up the software to run the first example on a web page. The course then advances to teaching about Bootstrap lists, collapsible content, dropdowns, forms, and modals. The course provides a solid understanding of the Bootstrap framework with the goal to create a modern responsive website. You will also learn to code a basic to advanced website with the software. Upon completion, the course will provide a comprehensive understanding of Bootstrap concepts and a solid understanding of the Bootstrap framework. You can hone your HTML and CSS skills for responsive web development and learn what a responsive website is and how to create one. What You Will Learn Build your own complex website with ease Garner thorough knowledge of Bootstrap, CSS, and HTML Explore how the components of Bootstrap work Understand the concepts of a framework comprehensively Learn web development using CSS styles for designing Learn to write advanced codes using Bootstrap Audience This course has been designed for anyone wishing to learn Bootstrap from scratch and looking for an easy way to understand Bootstrap concepts and components. Beginners looking to learn about a responsive website and how to create one, and those looking to learn the fundamentals of HTML, CSS, and Bootstrap, will benefit from this course. The course prerequisites include a fair understanding of basic HTML and CSS and the fundamental mechanics of web development. You must aspire to create a modern responsive website and be knowledgeable in using a code editor such as Notepad++, Brackets, and others. About The Author Amit Diwan: Studyopedia was founded by Amit Diwan in 2018 after working for Tutorialspoint , IIT, IASRI, Sitepoint, DU, and C# Corner. Studyopedia sells courses on Udemy, Tutorialspoint, Geeksforgeeks, and Skillshare, providing video courses to master various technologies and programming languages, databases, frameworks, Python, data science, machine learning, Java, Android, C/C++, HTML5, Bootstrap, JavaScript, jQuery, PHP, CSS, WordPress, Drupal, Joomla, Magento, osCommerce, OpenCart, PrestaShop, and other disciplines. Studyopedia delivers high-quality video courses to millions of students and professionals enrolled through their website on multiple programming languages and technologies.
    Note: "Published in November 2022.". - Online resource; title from title details screen (O'Reilly, viewed November 28, 2022)
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  • 54
    Online Resource
    Online Resource
    Data science, analytics, and AI for business and the real world™ (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    Language: English
    Pages: 1 online resource (1 video file (30 hr., 55 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7
    Keywords: Application software Development ; Python (Computer program language) ; SPARK (Computer program language) ; Artificial intelligence ; Artificial Intelligence ; Logiciels d'application ; Développement ; Python (Langage de programmation) ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to use data science and statistics to solve business problems and gain insights into everyday problems with 35+ case studies About This Video Explore 16 statistical and data analysis, and six predictive modeling and classifiers case studies Work on four: data science in marketing and retail, and two time-series forecasting case studies Dive into three Natural Language Processing and one PySpark big data case studies, and a deployment project In Detail Right now, despite the Covid-19 economic contraction, traditional businesses are hiring data scientists in droves! Therefore, data scientist has become the top job in the U.S. for the last four years running. However, data science has a difficult learning curve. This course seeks to fill all those gaps and has a comprehensive syllabus that tackles all the major components of data science knowledge. You will be using data science to solve common business problems throughout this course. You will start with the basics of Python, Pandas, Scikit-learn, NumPy, Keras, Prophet, statsmod, SciPy, and more. You will learn statistics and probability for data science in detail. Then, you will learn visualization theory for data science and analytics using Seaborn, Matplotlib, and Plotly. You will look at dashboard design using Google Data Studio along with machine learning and deep learning theory/tools. Then, you will be solving problems using predictive modeling, classification, and deep learning. After this, you will move your focus to data analysis and statistical case studies, data science in marketing, and data science in retail. Finally, you will see deployment to the cloud using Heroku to build a machine learning API. By the end of this course, you will learn all the major components of data science and gain the confidence to enter the world of data science. Audience This course is designed for beginners in data science; business analysts who wish to do more with their data; college graduates who lack real-world experience; business-oriented persons who would like to use data to enhance their business; software developers or engineers who would like to start learning data science. Anyone looking to become more employable as a data scientist and with an interest in using data to solve real-world problems will enjoy this course thoroughly. No need to be a programming or math whiz; basic high school math will be sufficient.
    Note: "Updated in March 2022.". - Online resource; title from title details screen (O'Reilly, viewed March 30, 2022)
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  • 55
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    Online Resource
    10 creative and beautiful web projects with HTML and CSS (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781804619681 , 180461968X
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 22 min.)) , sound, color.
    Edition: [Updated edition].
    DDC: 005.7/2
    Keywords: HTML (Document markup language) ; Cascading style sheets ; Web site development ; Web sites Design ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Master the two core technologies of HTML and CSS by building 10 modern web projects About This Video Learn how to build creative and beautiful web projects build together 10 different creative web projects with pure HTML and CSS Understand how to build a modern webpage with the latest effects and techniques In Detail If you want to succeed in the field of web development, you need to be well versed with HTML and CSS. Here is a brand-new course on HTML and CSS to help you hone your web development skills. We created this course to give students the best experience in HTML and CSS and allow them to build beautiful creative projects. The course strictly focuses on learning by practice. We will build 10 different web projects and they will be full of modern, nice, and beautiful effects and designs. We will start with simple projects, and we will go through some advanced ones as well. We can guarantee you that you will gain solid experience and knowledge in creating nice cool effects after completing this course. Using this course, you can get inspiration that will help you to enhance your projects and customize your portfolio. Mastering just these core technologies of front-end web development, you can create awesome and modern themes and simply get hired. Audience This course is designed for students who want to practice HTML and CSS, students who have the basic knowledge of front-end web development and want to develop their skills, and students who want to develop web design skills.
    Note: "Updated in May 2022.". - Online resource; title from title details screen (O'Reilly, viewed June 7, 2022)
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  • 56
    Online Resource
    Online Resource
    Tailwind CSS from scratch : learn by building projects (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781804611630 , 1804611638
    Language: English
    Pages: 1 online resource (1 video file (12 hr., 35 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.7/4
    Keywords: Cascading style sheets ; Web site development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to build five mini projects and six website projects and become an expert by taking up the course. About This Video Learn the Tailwind utility classes using a code sandbox Learn how to set up a dev environment using the Tailwind CLI Learn to build five mini-projects and six website projects In Detail We will start with coding Sandbox and explore pages/videos for colors, typography, spacing, flex classes, and much more. This allows us to touch on all parts of Tailwind in a specific order, rather than just jumping right into projects. We will take what we learn in the Sandbox environment and use it to create some small projects. Next, we will start to work on larger landing-page websites. There will be six different websites. They are all very modern and clean looking. We partnered with Frontend Mentor for the designs. Some projects will have a bit of JavaScript for things such as hamburger menus, tabs, and some validation. Let us look at the projects: -Clipboard Website: Simple software product landing page focusing on Flexbox and alignment. -Loopstudios: VR company website with cool images, responsive mobile menu with some JavaScript, gradient overlay effects. -Shortly: Responsive menu and a little JavaScript for some form validation and working with the DOM. -Testimonial Grid: A project where we focus on using Tailwind's grid classes. -Fylo: Product page with a light/dark mode feature. We will add some JavaScript to save the color mode to local storage. We will also have a dynamic tab component for the FAQ. Bookmark: Bookmark manager extension landing page. This website will have some dynamic background images, a hamburger menu, and some tabs that will use JavaScript. By the end of this course, you will efficiently use Tailwind CSS utility classes. Audience This course has been designed for anyone that wants to get better at creating websites and UI layouts. A basic understanding of CSS grids, layouts, and JavaScript will be an advantage.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 12, 2022)
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  • 57
    Online Resource
    Online Resource
    Django crash course with examples (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781804613962 , 1804613967
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 51 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.2/76
    Keywords: Django (Electronic resource) ; Web site development ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: A comprehensive course for those who know Python basics and want to be able to build web apps using Python About This Video Learn the different components of the Django web framework using real-world examples Learn and test for yourself and understand how every component behaves by running them on your browser Understand and apply the communication between Django and the SQL database In Detail The course teaching approach is learn-by-doing. You will learn to build two different apps: a modern Bootstrap blog website with a complete blog author interface and a dynamic Google Translate-like translator web app. The two apps have been chosen carefully to cover all core Django features. The apps are also extendible, allowing you to improve and add features to the apps while sharpening your Django skills and building your own GitHub portfolio. Among other topics, you will learn the model-view-template app structure of Django. You will also learn to set up SQL databases and connect the database with your app. You will learn to build complete web pages equipped with HTML widgets and create HTML forms that handle GET and POST HTTP requests. In addition, you will learn how to create and manage URL patterns for your app pages. You will also learn how to build an admin interface, which is useful when building content websites such as blogs, where content creators and other admins can use the admin interface to add content to the website without interfering with the codebase. You will also get an introduction to HTML and learn to create front-end widgets such as input boxes, buttons, and HTML forms. You will learn to give your web app a modern look by adding Bootstrap styling to your website. By the end of the course, you will have all the skills to build your own web apps using Django, and you will know where to look whenever you need to add new Django features to your apps. Audience The course is beneficial for those who want to turn their ideas into web apps. You will be able to create your own web apps in no time. You will also be able to start your web development career with this course. Finally, the program assumes you know Python basics already. If you know Python basics, you can understand and use the Django codebase to build web applications, and this course will take you step-by-step through that process.
    Note: "Updated in July, 2022.". - "PythonHow.". - Online resource; title from title details screen (O'Reilly, viewed July 25, 2022)
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  • 58
    Online Resource
    Online Resource
    Front-end web development with Modern HTML, CSS, and JavaScript (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781804618172 , 1804618179
    Language: English
    Pages: 1 online resource (1 video file (9 hr., 52 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7/2
    Keywords: Web site development ; Internet programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn all the core fundamentals of modern web design, covering all the commonly used syntax for HTML and CSS. About This Video Understand how to create elements with code and add them to your web page Learn to select elements from your web page with JavaScript Learn to style your web pages with CSS In Detail JavaScript code runs your browser as your HTML page loads. Adding JavaScript to your code can improve the user experience of the web page. This course will cover the basics of getting started with JavaScript, HTML, and CSS and the code syntax to write JavaScript code. JavaScript is a set of instructions you can add to your code to let the browser know what to do next. It covers the core concepts of JavaScript so that you can try the code and get familiar with what it does. Using JavaScript, you can access the HTML DOM in the browser, which allows you to interact and manipulate web page content. JavaScript creates the interactive and dynamic content seen today on all major modern web pages. Learn what CSS is and how you can style your web pages with Cascading Style Sheets (CSS). HTML provides a structure for your webpage; CSS allows you to style your page. Design the page with your style, set up page layouts, add colors, fonts, and more. Present your webpages as you want them to look, independent of the HTML; you can make your web content look and style as you imagine it should. You will also learn Document Object Model (DOM), which is a programming interface for HTML documents; that is, the logical structure of a page and how the page content can be accessed and manipulated. By the end of the course, you can start coding quickly and focus on designing your interactive and dynamic web pages. Audience This course is for beginners in web design and for anyone who wants to learn more about coding or for anyone curious to learn HTML, CSS, and JavaScript. This course can also be taken by someone who wants to create interactive web pages and who wants a quick and effortless way to start coding.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 27, 2022)
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  • 59
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    Online Resource
    Practical data science using Python (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781804611814 , 1804611816
    Language: English
    Pages: 1 online resource (1 video file (29 hr., 48 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.4/22
    Keywords: Quantitative research ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Explore data science using Python, statistical techniques, EDA, NumPy, Pandas, Scikit Learn, and Statsmodel libraries and take your first step toward becoming a data scientist or a machine learning engineer. About This Video Detailed coverage of Python for data science and machine learning Learn about model optimization using hyperparameter tuning Learn about unsupervised learning using K-Means clustering In Detail In this course, you will learn about core concepts of data science, exploratory data analysis, statistical methods, role of data, Python language, challenges of bias, variance and overfitting, choosing the right performance metrics, model evaluation techniques, model optimization using hyperparameter tuning and grid search cross validation techniques, and more. You will learn how to perform detailed data analysis using Python, statistical techniques, and exploratory data analysis, using various predictive modeling techniques such as a range of classification algorithms, regression models, and clustering models. You will learn the scenarios and use cases of deploying predictive models. This course also covers classification using decision trees, which include the Gini index and entropy measures and hyperparameter tuning. It covers the use of NumPy and Pandas libraries extensively for teaching exploratory data analysis. In addition, you will also explore advanced classification techniques and support vector machine predictions. There is also an introductory lesson included on Deep Neural Networks with a worked-out example on image classification using TensorFlow and Keras. By the end of the course, you will learn some basic foundations of data science using Python. Audience This course is for Python, machine learning developers, data scientists, data analysts, and business analysts. This course will also be beneficial for aspiring data science professionals and machine learning engineers. Exposure to programming languages will be useful.
    Note: "Updated in August 2022.". - Online resource; title from title details screen (O'Reilly, viewed September 13, 2022)
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  • 60
    Online Resource
    Online Resource
    Python for deep learning : build neural networks in Python (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781804617878 , 1804617873
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 9 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Deep learning (Machine learning) ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Master Data Science, TensorFlow, Artificial Intelligence, and Neural Networks with this comprehensive deep learning course for absolute beginners About This Video Fundamentals course designed for both beginners and experts alike Use different frameworks in Python to solve real-world problems using deep learning and AI Make predictions using linear regression, polynomial regression, and multivariate regression In Detail Python is famed as one of the best programming languages for its flexibility. It works in almost all fields, from web development to developing financial applications. However, it's no secret that Python's best application is in deep learning and artificial intelligence tasks. We will start with an introduction to deep learning where we will focus on the fundamentals of the deep learning theory and learn how to use deep learning in Python. Followed by this we will move on to Artificial Neural Networks (ANN). You will learn how to use different frameworks in Python to solve real-world problems using deep learning and artificial intelligence. Next, we will make predictions using linear regression, polynomial regression, and multivariate regression, and build artificial neural networks with TensorFlow and Keras. We will also cover Convolutional Neural Networks (CNN) at length and go through the different components such as convolution layer, pooling layer, and fully connected layer. Finally, we will wrap up the implementation of CNN in Python. By the end of this course, you will be able to use the concepts of deep learning to build neural networks in python like a professional. Audience This course is intended for both beginners and professionals in programming who want to expand their knowledge of deep learning or professional mathematicians who want to learn how to analyze data programmatically. Basic mathematical skills and Python coding experience are prerequisites.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 13, 2022)
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  • 61
    Online Resource
    Online Resource
    Pandas for beginners : a quick guide (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781804612088 , 1804612081
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 57 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Application program interfaces (Computer software) ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: If you work in any functional areas of data analysis, machine learning, and artificial intelligence, you will want to be familiar with or master Pandas. Pandas is a popular Python library used for data analysis and manipulation, commonly used with data analysis, artificial intelligence, and machine learning. Pandas enables quick and efficient data manipulation, aggregation, pivoting, and flexible time series. This course will introduce you to the basics of data analysis using the Pandas library. You will learn to work with two primary data structures in Pandas, Series and Data Frame. Then, we will take a look at how to read data from a file and explore input data using indexing and filtering, at which point you will be ready for data preprocessing. Next, we will focus on handling missing values and duplicate rows and transforming data into a more efficient format. You will also discover how to manipulate data and data processing. Finally, we will dive into creating simple plots to visualize the data. By the end of this course, you can use OOPs paradigm to create class hierarchies with the OOP design process. You can design and implement Python programs for complex issues and make good use of the features like classes and inheritance. What You Will Learn Learn basic data analysis with Pandas' open-source Python library Use the two primary Pandas data structures, Series and DataFrame Process varied data types and manipulate data with string function Organize input with index and filter, preprocess data with Pandas Format and process different kinds of data most efficiently Manipulate, aggregate, and pivot data flexibly and efficiently Audience This course targets beginner Python developers or those who want to learn and use the Pandas library for Python. Data analysts, project management analysts, and those working in artificial intelligence, machine learning, or data science can benefit from this course immensely. For those managers and executives that handle a lot of data and create analytic reporting material, this course could help them as well in their data science projects. This course assumes no previous experience in Pandas, but a fundamental understanding of basic Python syntax is needed since it is built for Python. About the Author Simon Sez IT: Simon Sez IT has offered technical courses since 2008 for individuals, small businesses, and Fortune 500 companies with thousands of employees who can benefit from the easy-to-learn and hands-on software training. It offers over 8000 video tutorials on a range of software programs. Simon Sez IT ensures stress-free eLearning and enhanced employee productivity--whether you implement new software or a technological upgrade in your work environment. With over 600,000 students from 180 countries, Simon Sez IT is the preferred online learning choice for individuals and businesses worldwide.
    Note: Published in October 2022. - Online resource; title from title details screen (O'Reilly, viewed November 8, 2022)
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  • 62
    Online Resource
    Online Resource
    PyCharm productivity and debugging techniques (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781837632442 , 1837632448
    Language: English
    Pages: 1 online resource (1 video file (9 hr., 53 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: PyCharm is a dedicated Python Integrated Development Environment (IDE) providing a wide range of essential tools for Python developers, tightly integrated to create a convenient environment for productive web and data science development. The course covers the following sections: Section 1 is about the introduction and helpful notes for the course. Section 2 discusses the process of managing and customizing your PyCharm workspace. In section 3, you will look at editing and formatting with ease in PyCharm, which offers a detailed view of how PyCharm supports the process of developing Python applications. In Section 4, you will look at version control with Git in PyCharm, including a theoretical discussion about what version control is and why it is important. Section 5 focuses on the use of PyCharm to streamline processes in programming such as testing, debugging, and profiling. In the next section, you will look at web development with JavaScript, HTML, and CSS. In the final section of the course, you will understand Integrating Django in PyCharm, which introduces Django, the premier web development framework in Python. By the end of the course, you will have learned everything about PyCharm productivity and debugging techniques. What You Will Learn Customize PyCharm Theme and Editor Install and manage Python packages with PyCharm Code refactoring and renaming Build PyCharm documentation Learn the process of converting and exporting functions Explore Git version control built-in PyCharm Audience This course is for back-end software engineers and front-end developers. It can also be taken by computer science students and everyone who wants to learn to program. No prior knowledge of Python is required, only a desire to learn PyCharm IDE. About The Author Martin Yanev: Martin Yanev is an internationally acclaimed aerospace software engineer. He holds a bachelor's degree in aeronautical engineering and a master's degree in aerospace dynamics. He is an associate member of the Royal Aeronautical Society in the United Kingdom. He is ISTQB certified with solid experience in systems test and integration. He became adept at programming skills in the past seven years by developing and testing complex software algorithms for aerospace applications. He is currently involved in the Single European Sky Project, which aims to increase the European airspace capacity by applying cutting-edge air traffic management systems.
    Note: Published in October 2022. - Online resource; title from title details screen (O'Reilly, viewed November 8, 2022)
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  • 63
    Online Resource
    Online Resource
    Introduction to website development technologies (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781803235189 , 1803235187
    Language: English
    Pages: 1 online resource (1 video file (5 hr., 43 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.7/6
    Keywords: Web site development ; HTML (Document markup language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn how to build a website using HTML and CSS and Visual Studio Code from scratch About This Video Learn to build and deploy a multi-page website from scratch Learn the process of publishing your static website to the internet using Netlify Learn to write JavaScript and jQuery In Detail The content of this course assumes no prior knowledge of programming or web development and will teach you how to set up an environment to develop a website from scratch; all the way up to deploying it on the Internet for the world to see. This is a short course with just over five hours of content but smartly broken up to highlight a set of related activities based on each module in the application that is being built. We will also look at troubleshooting and debugging errors as we go along; implementing best practices; writing efficient logic and understanding why developers do things the way they do. Your knowledge will grow, step by step, throughout the course and you will be challenged to be the best you can be. By the end of this course, you will have moved around in Visual Studio Code and examined errors so much, that it will be second nature for you when working in the web development environment. This will put your newly learned skills to practical use and impress your boss and coworkers. Audience This course requires no prior experience with any programming language, making it ideal for anyone interested in learning basic web development.
    Note: "Updated in May 2022.". - Online resource; title from title details screen (O'Reilly, viewed June 27, 2022)
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  • 64
    Online Resource
    Online Resource
    Data manipulation in Python : master Python, NumPy, and Pandas (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781804614396 , 1804614394
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 49 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.133
    Keywords: Python (Computer program language) ; Electronic data processing ; Programming languages (Electronic computers) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Master important data manipulation techniques for data science in Python by learning Python, NumPy, and Pandas About This Video Discover the basics of Python programming The most important Python libraries for data science Learn how to use Python to clean, visualize, and analyze data In Detail Data science is quickly becoming one of the most promising careers in the twenty-first century. It is automated, program-driven, and analytical. As a result, it's no surprise that the demand for data scientists has been expanding in the job market over the last few years. We will begin with a quick refresher on Python fundamentals for beginners in this course. This is optional; if you're already familiar with Python, skip to the next chapter. Data science will be the topic of the next three sections. We will start with the essential Python libraries for data science, then go on to the fundamental NumPy properties, and lastly begin with mathematics and how to use it in data science. You will learn about Python Pandas DataFrames and series after learning about data science. Following that, we will get down to business and begin data cleaning. Following that, we will learn how to use Python to visualize data and do data analysis on some sample datasets. Finally, we will cover the Time series in Python and learn how to work with and convert datasets to Time series. By the end of this course, you will be able to execute data manipulation for data science in Python with ease. Audience This course is open to students of all skill levels, and you will be able to succeed even if you have no prior programming or statistical knowledge.
    Note: "Updated in May 2022.". - "Meta Brains.". - Online resource; title from title details screen (O'Reilly, viewed June 6, 2022)
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  • 65
    Online Resource
    Online Resource
    Bootstrap 5 course : build responsive websites like a pro (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781804617915 , 1804617911
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 56 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.76
    Keywords: Bootstrap (Computer program) Study guides Examinations ; Web site development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Be a part of the web development community that creates amazing responsive websites with the help of Bootstrap 5 and a dedicated mini-project to leverage your knowledge. About This Video Create a website using Bootstrap using a step-by-step tutorial that comes bundled with source code Work on a mini-project where you will build a website from scratch in 20 minutes Learn about the latest Bootstrap framework in a step-by-step approach In Detail There is no doubt that the future belongs to web developers who know how to build real-world responsive websites built on the Bootstrap framework. That is why this course is prepared specifically for beginners and intermediate-level students. The best way to secure a long-term career in the sector is to learn what you need to know in a hands-on manner. Bootstrap 5, the most recent version of the world's most popular front-end framework, will be the focus of this course. There are millions of websites using Bootstrap and it was deliberately created to cover a broad range of conventional user interfaces. There are several benefits to building a website with Bootstrap 5, including a clean and modern style that works on any device as well as all browsers and screen sizes. The course gets started by introducing yourself to the Bootstrap framework, then you will create responsive images, tables, and typography. After that, you will learn about the Bootstrap 5 Grid system, look at the different breakpoints in Bootstrap 5, and learn about Bootstrap 5 components such as Badge, Breadcrumb, Buttons, Button group, Card, and much more. By the end of this course, you will have enough knowledge about the latest version of Bootstrap to make a website responsive with the help of fewer classes. Audience This course is for anyone who wants to learn more about using Bootstrap and who wants to pursue a career in web development. This will also benefit individuals who want to rapidly build responsive websites. You will need a basic knowledge of HTML and CSS. Apart from this, some traits such as readiness, flexibility, and passion for learning will surely help you expedite your journey further.
    Note: Updated in June 2022. - "Meta Brains.". - Online resource; title from title details screen (O'Reilly, viewed July 12, 2022)
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  • 66
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    Online Resource
    Python for machine learning : the complete beginner's course (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781804619308 , 1804619302
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 29 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn Python programming and Scikit-Learn applied to machine learning regression in this comprehensive guide for beginners About This Video Learn how to use different frameworks in Python to solve real-world problems using deep learning and artificial intelligence Build artificial neural networks with TensorFlow and Keras Make predictions using linear regression, polynomial regression, and multivariate regression In Detail Machine learning is a branch of computer science in which you can use mathematical input to develop complicated models that fulfil various roles. Python is a popular choice for building machine learning models because of the large number of libraries available. This course will walk you through an astonishing combination of Python and machine learning, teaching you the fundamentals of machine learning so you can construct your own projects. We will begin by studying Python programming and applying Scikit-Learn to machine learning regression in this course. After that, we will look at the theory underpinning simple and multiple linear regression algorithms. Following that, we will look at how to solve linear and logistic regression issues. Later, we will use sklearn to learn both the theory and the actual application of logistic regression. We will also go into the math underpinning decision trees. Finally, you will learn about the various clustering algorithms. By the end of this course, you will be able to use these algorithms in the real world. Audience This course is for anyone interested in pursuing a career in machine learning, as well as Python programmers who want to add machine learning skills to their resume. This course will also benefit technologists who want to learn more about how machine learning works in the real world. This course requires familiarity with the fundamentals of Python, as well as readiness, flexibility, a will to learn, and, most importantly, basic mathematical skills.
    Note: "Published in September 2022.". - Online resource; title from title details screen (O'Reilly, viewed October 4, 2022)
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  • 67
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    Online Resource
    Web development secrets revealed : critical rendering path, HTTP, AJAX, and more (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781804618240 , 1804618241
    Language: English
    Pages: 1 online resource (1 video file (8 hr., 13 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7/2
    Keywords: Web site development ; HTTP (Computer network protocol) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn about the Critical Rendering Path, AJAX, and HTTP, as well as how to retrieve data from a server About This Video Understand the Network Panel, Performance Panel, and Audit Lighthouse functions within DevTools Understand HTTP, TCP, data packets, and a whole bunch more Real examples of how AJAX works (we will use both the XMLHttpRequest object and the newer Fetch API) In Detail In this course, you will learn about the Critical Rendering Path. This refers to the set of steps browsers must take to fetch and then convert HTML, CSS, and JavaScript into living, breathing websites. From there, you will start exploring and experimenting with tools to measure performance. You will learn simple, yet very powerful strategies to deliver the first pixels to the screen as early as possible. Knowledge of the CRP is incredibly useful for understanding how a site's performance can be improved. There are various stages to the CRP, such as constructing the DOM, constructing the CSSOM, running JavaScript, creating the Render Tree, generating the layout, and finally painting pixels to the screen. As you can see, this covers a whole bunch of interesting material. We will dig deeper in every lecture, by learning about things such as HTTP, TCP, data packets, render-blocking resources, and a whole bunch more! This course has many bonus lectures that will extend your knowledge base and test your skills. Through practical examples, this course helps you understand the CRP piece by piece. We will use the latest and best features of JavaScript and browsers (such as the new Fetch API) along the way so you can stay ahead of the pack. By the end of this course, you will be able to "speak" CRP by gaining an understanding of how to fetch data from a server and then get that data to your user as quickly as possible. Audience This course is for anyone interested in dabbling in the world of programming; learning the fundamentals of HTTP, AJAX, data packets, and rendering will allow you to extend this knowledge to any language. It is useful for anyone who wants to gain a solid understanding of web performance; wants to start using backend frameworks such as Node.js, which are heavily reliant on having a deeper understanding of how to make AJAX requests, manipulate the response, and then deliver it to the screen; wants to know what the Critical Rendering Path is, but not sure how it works behind the scenes or how to put it into practice in your code.
    Note: "Updated in May 2022.". - "SkillZone.". - Online resource; title from title details screen (O'Reilly, viewed June 6, 2022)
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  • 68
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    Online Resource
    Web forms : 2022 build and master advanced web forms (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781804611333 , 1804611336
    Language: English
    Pages: 1 online resource (1 video file (21 hr., 20 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.2762
    Keywords: Active server pages ; Web site development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Beginning with HTML design and finishing with server submission, complete the Web Forms mastering course About This Video Learn how your website can take advantage of traffic by understanding how to build web forms Understand the CSS Box Model, the CSS Grid, and pseudo-classes and pseudo-elements Fun challenges throughout the course where we build custom toggles, checkboxes, color pickers, and more In Detail An HTML form is another name for a webform. It's a site where people can enter data, which is then processed by a server. This course will give you solid fundamentals and practicals regarding forms. It can be taken alone (you don't need to do any other course) to achieve your goals. You will emerge from this course with an advanced understanding and practical experience of building forms. It will take you to the point where you will understand what method (GET or POST) to use when sending form data, how to define where the data goes, and how to perform advanced client-side validation (checking errors on the form before it is sent to the server), how to write custom pattern validation rules (using regular expressions), how to run servers, and how to view all HTTP request information. This is awesome knowledge. This course will captivate you and catapult you to the next level and set you well on your way to becoming a true grandmaster in front-end webform development. By the end of this course, you will be able to "speak" and "walk" FORMS by gaining an understanding of how you can build it, manipulate it, and style it in meaningful and practical ways. We dig deeper into every lecture, and this course has many bonus lectures that will extend your knowledge base and test your skills. Audience If you want to advance in the world of programming or want to know how successful developers build dynamic forms that engage with the user and have high conversions that put them ahead of the competition; want to gain a solid understanding of how forms really work; want to start using backend technologies such as Node or PHP with forms, then this course is for you.
    Note: "Skilzone.". - "Updated in May 2022.". - Online resource; title from title details screen (O'Reilly, viewed June 6, 2022)
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    Online Resource
    Python bootcamp in a day : Python programming for beginners (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781837630400 , 1837630402
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 43 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Academic Video Online
    Parallel Title: Erscheint auch als
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Computer programming ; Nonfiction films ; Internet videos ; Instructional films ; Programmation (Informatique) ; computer programming ; Computer programming ; Python (Computer program language) ; Python (Langage de programmation) ; Instructional films ; Films de formation
    Abstract: Python is one of the most popular computer programming languages and this hands-on course for beginners will make it easy for someone who wants to get started with learning Python. This course takes you through the introduction to the course and the learning objectives. You will learn to get started with Replit and write your first Python program. You will learn to store, process, and compare information in Python as well as learn to tidy messy data. You will learn about variables, strings, dictionaries, indexing, and slicing in Python. Further, you will understand loops in Python along with break, continue, and else functions. Moving ahead, you will understand error handling in Python, get to know the try-and-catch block, and learn to add resources to Replit. You will also understand function parameters and explore the difference between local and global variables, and positional and keyword parameters. You will learn to work with JSON and clean the data along with various numeric functions such as min, max, and sum. By the end of the course, you will gain a solid foundation in Python programming and be able to write high-quality code in Python. What You Will Learn Master Python programming fundamentals Learn how to install Python to get up and running in no time Learn how to process data to create Olympics Medals Tables Solve multiple specific problems for a customer in the real world Learn all about objects and variables in Python Understand functions and function parameters in Python Audience Whether you are a software engineer, software developer, computer programmer, web developer, transitioning into a new role, or simply someone who wants to understand what makes Python tick, this is the place to start. If you are preparing for a Python certification or job role, this course is for you. About The Author Paul Ashun: Paul Ashun is the CEO, MD, and chief consultant at Pashun Consulting Ltd., specializing in Scrum coaching and leadership within major global organizations. They are the authors of over 10 books on Scrum such as The Power of Scrum in the Real World, Confessions of a Scrum Master as well as the upcoming Agile User Storybook. He started as a software developer and over ten years later, he became an Agile portfolio manager. He is a certified Scrum Master and a PMO manager. He has led projects for the BBC, General Electric, Oracle, BSkyB, HiT Entertainment, and Razorfish. He has been coaching product owners and business analysts in international blue-chip companies dating back to 1999, in Agile and Scrum practices such as writing user stories.
    Note: "Published in December 2022.". - Online resource; title from title details screen (O'Reilly, viewed January 10, 2023) , In English.
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  • 70
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    Online Resource
    Python : object-oriented programming (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781837638765 , 1837638764
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 31 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Academic Video Online
    Parallel Title: Erscheint auch als
    DDC: 005.13/3
    Keywords: Computer programming ; Python (Computer program language) ; Object-oriented programming (Computer science) ; Nonfiction films ; Internet videos ; Instructional films ; Python (Langage de programmation) ; Object-oriented programming (Computer science) ; Python (Computer program language) ; computer programming ; Programmation orientée objet (Informatique) ; Instructional films ; Films de formation
    Abstract: Python is a fantastic OOP language that lets you use functional and OOP paradigms. Python offers several benefits compared to other programming languages like Java, C++ or R. It is a dynamic language, with high-level data types. Python is easier to learn for beginners as its codes are more readable and intuitive. This course is designed to take you through the fundamentals of OOPs and understanding how it works. During this course, you will learn about important concepts such as classes, objects, abstraction, method overloading, and inheritance in sufficient detail. The course will also take you through the concepts of objects and attributes, mathematical operators, callable functions, encapsulation, inheritance and method resolution comprehensively. The course explains the OOP paradigm and lets you create class hierarchies using the OOP design process. By the end of the course, you will be able to design and implement Python programs for complex issues and make good use of the OOP features like classes and inheritance and apply your knowledge completing assignments that simulate real-world scenarios. What You Will Learn Create class hierarchies using the object-oriented design process Understand the difference between class and instance variables Make an object indexable, callable, and comparable Design and implement Python programs for complex problems Put to code the language features such as classes and inheritance Tackle complex code with OOP paradigm, design, and implementation Audience This course provides new developers who know Python basics to expand their knowledge and developers and learners who wish to learn OOP in Python. Developers involved with game development, GUI programming, AI, machine learning, and other computed automation can benefit from this course. The concepts and techniques can be applied to other programming languages, so intermediate-level developers wishing to advance their programming skillsets can also learn from this course for career advancement. To get the most from this course, you need to be an intermediate-level programmer in Python. About the Author Simon Sez IT: Simon Sez IT has offered technical courses since 2008 for individuals, small businesses, and Fortune 500 companies with thousands of employees who can benefit from the easy-to-learn and hands-on software training. It offers over 8000 video tutorials on a range of software programs. Simon Sez IT ensures stress-free eLearning and enhanced employee productivity--whether you implement new software or a technological upgrade in your work environment. With over 600,000 students from 180 countries, Simon Sez IT is the preferred online learning choice for individuals and businesses worldwide.
    Note: "Simon Sez IT.". - Published in October 2022. - Online resource; title from title details screen (O'Reilly, viewed November 8, 2022) , In English.
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  • 71
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    Online Resource
    Artificial intelligence and machine learning fundamentals (2019)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781789953671
    Language: English
    Pages: 1 online resource (1 streaming video file (7 hr., 48 min., 20 sec.)) , digital, sound, color
    Keywords: Machine learning ; Artificial intelligence ; Neural networks (Computer science) ; Python (Computer program language) ; Electronic videos ; local
    Abstract: "Machine learning and neural networks are fast becoming pillars on which you can build intelligent applications. The course will begin by introducing you to Python and discussing using AI search algorithms. You will learn math-heavy topics, such as regression and classification, illustrated by Python examples. You will then progress on to advanced AI techniques and concepts, and work on real-life data sets to form decision trees and clusters. You will be introduced to neural networks, which is a powerful tool benefiting from Moore's law applied on 21st-century computing power. By the end of this course, you will feel confident and look forward to building your own AI applications with your newly-acquired skills!"--Resource description page.
    Note: Title from resource description page (Safari, viewed April 29, 2019)
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    Online Resource
    Online Resource
    Python Django dev to deployment (2019)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781838641283
    Language: English
    Pages: 1 online resource (1 streaming video file (11 hr., 6 min., 32 sec.)) , digital, sound, color
    Keywords: Django (Electronic resource) ; Application software ; Development ; Web applications ; Python (Computer program language) ; Application program interfaces (Computer software) ; Electronic videos ; local
    Abstract: "This is a very practical course where we take a list of requirements from a fictional company to build a real estate application using Django. We will take a basic html/css Bootstrap 4 theme and turn it into a real working application with an admin area to manage resources including property listings, realtors and contact inquiries. We also have a section on learning basic Python syntax."--Resource description page.
    Note: Title from resource description page (Safari, viewed April 9, 2019)
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  • 73
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    Online Resource
    The Python programming bible : networking, GUI, Email, XML, CGI (2019)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781838559960
    Language: English
    Pages: 1 online resource (1 streaming video file (6 hr., 8 min., 42 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Application software ; Development ; Web site development ; Electronic videos ; local
    Abstract: "Python is fast becoming a worldwide Tour De Force that is requested by all companies such as Google, Facebook and Microsoft. This course will ensure you are not left as more and more companies request this awesome language. This course will teach you everything about programming Python applications and websites. You will receive all the knowledge to use and leverage the powerful technology behind these amazing and wonderful platforms. "--Resource description page.
    Note: Title from resource description page (Safari, viewed March 8, 2019)
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  • 74
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    Online Resource
    JavaScript DOM : interactive and dynamic JavaScript (2019)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781838559687
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 28 min., 2 sec.)) , digital, sound, color
    Keywords: JavaScript (Computer program language) ; Web site development ; Web sites ; Design ; Electronic videos ; local
    Abstract: "Create Dynamic and interactive web pages with JavaScript and the DOM. In this course, you will learn how to make web-pages dynamic and interactive using JavaScript to connect with the Document Object Model and influence and manipulate page elements. The Document Object Model is a massive object that represents your page elements and their attributes. JavaScript can easily select objects within the DOM and use their content to change the display, add interactive events, update styling, and a whole lot more. JavaScript makes your web page come to life; it opens doors and makes amazing things happen on your website. This course covers only the JavaScript Document Object Model and prior JavaScript knowledge is a prerequisite."--Resource description page.
    Note: Title from resource description page (Safari, viewed March 8, 2019)
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  • 75
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    Online Resource
    Python programming for beginners : learn in 100 easy steps (2019)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781838556563
    Language: English
    Pages: 1 online resource (1 streaming video file (11 hr., 13 min.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Object-oriented programming (Computer science) ; Electronic videos ; local ; Electronic videos
    Abstract: "Learn Python Programming using a Step By Step Approach with 200+ code examples. Python is one of the most popular programming languages. Python offers both object-oriented and structural programming features. We love programming. Our aim with this course is to create a love for programming."--Resource description page.
    Note: Title from resource description page (Safari, viewed March 12, 2019)
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  • 76
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    Big data processing with Apache Spark (2019)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781789953688
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 30 min., 14 sec.)) , digital, sound, color
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Big data ; Python (Computer program language) ; Application program interfaces (Computer software) ; Cloud computing ; Electronic data processing ; Electronic videos ; local
    Abstract: "Processing big data in real time is challenging due to scalability, information consistency, and fault-tolerance. Big Data Processing with Apache Spark teaches you how to use Spark to make your overall analytical workflow faster and more efficient. You'll explore all core concepts and tools within the Spark ecosystem, such as Spark Streaming, the Spark Streaming API, machine learning extension, and structured streaming. You'll begin by learning data processing fundamentals using Resilient Distributed Datasets (RDDs), SQL, Datasets, and Dataframes APIs. After grasping these fundamentals, you'll move on to using Spark Streaming APIs to consume data in real time from TCP sockets, and integrate Amazon Web Services (AWS) for stream consumption. By the end of this course, you'll not only have understood how to use machine learning extensions and structured streams but you'll also be able to apply Spark in your own upcoming big data projects."--Resource description page.
    Note: Title from resource description page (Safari, viewed March 15, 2019)
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    Natural language processing in practice (2019)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781787280885
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 47 min., 27 sec.)) , digital, sound, color
    Keywords: Natural language processing (Computer science) ; Python (Computer program language) ; Electronic videos ; local
    Abstract: "Natural Language Processing (NLP) offers powerful ways to interpret and act on spoken and written language. It can help you with tasks such as customer support inquiries and customer feedback analysis. As the quantity of data continues to grow at an incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. This course will help you gain this skill by practical demonstrations, clear explanations, and interesting real-world examples. It will give you a versatile range of deep learning and NLP skills that you can put to work in your own applications. By the end of this tutorial, you'll have a better understanding of NLP and will be able to transform data into actionable knowledge. You will also have worked on multiple examples that implement deep learning to solve real-world spoken-language problems."--Resource description page.
    Note: Title from resource description page (Safari, viewed March 29, 2019)
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  • 78
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    Online Resource
    HTML, CSS and JavaScript for beginners : a web design course (2019)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781838551278
    Language: English
    Pages: 1 online resource (1 streaming video file (13 hr., 35 min., 43 sec.)) , digital, sound, color
    Keywords: Web site development ; HTML (Document markup language) ; Cascading style sheets ; JavaScript (Computer program language) ; Web sites ; Design ; Electronic videos ; local ; Electronic videos
    Abstract: "This course starts from scratch, teaches you how to create websites, and covers everything from the basic syntax, all the common tags used to develop web content, and how and where you can write HTML, top resources and links included. You'll learn about HTML structure within web pages; explore HTML5 semantic elements; build your own HTML template; create HTML lists, hyperlinks, and add images; build tables for even more HTML structure; create forms with in-depth form examples and HTML tag explanations; add iframes and more cool HTML elements; create your own mini HTML site using only HTML; and everything you want to know about CSS, JavaScript, JavaScript Document Object Model (DOM), JSON, AJAX, and jQuery."--Resource description page.
    Note: Title from resource description page (Safari, viewed March 8, 2019)
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    Machine learning fundamentals (2019)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781789958386
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 18 min., 45 sec.)) , digital, sound, color
    Keywords: Machine learning ; Python (Computer program language) ; Artificial intelligence ; Electronic videos ; local
    Abstract: "You'll begin by learning how to use the syntax of scikit-learn. You'll study the difference between supervised and unsupervised models, as well as the importance of choosing the appropriate algorithm for each dataset. You'll apply unsupervised clustering algorithm over 1990 US Census dataset, to discover patterns and profiles, and explore the process to solve a supervised machine learning problem. Then, the focus of the course shifts to supervised learning algorithms. You'll learn to implement different supervised algorithms and develop neural network structures using the scikit-learn package. You'll also learn how to perform coherent result analysis to improve performance of the algorithm by tuning hyperparameters. When it finishes, this course would have given you the skills and confidence to start programming machine learning algorithms."--Resource description page.
    Note: Title from resource description page (Safari, viewed April 11, 2019)
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    Online Resource
    A quick start guide to learn jQuery fundamentals (2019)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781838559885
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 39 min.)) , digital, sound, color
    Keywords: JavaScript (Computer program language) ; Web applications ; Application software ; Development ; Web site development ; Web sites ; Design ; Electronic videos ; local
    Abstract: "Easy document object manipulation with the most popular JavaScript Library. This course is perfect for anyone who wants to learn jQuery quickly in a fast-paced course that teaches you all the core fundamentals of jQuery to get you started quickly. Step-by-step learning covering the core parts of jQuery to get you coding quickly. Source code and everything you need to get started are included."--Resource description page.
    Note: Title from resource description page (Safari, viewed March 6, 2019)
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    High-performance computing with Python 3.x (2019)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781789956252
    Language: English
    Pages: 1 online resource (1 streaming video file (4 hr., 12 min., 21 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Electronic data processing ; Distributed processing ; Management ; Application software ; Development ; Electronic videos ; local
    Abstract: "This course will teach you how to use Python on parallel architectures. You'll learn to use the power of NumPy, SciPy, and Cython to speed up computation. Then you will get to grips with optimizing critical parts of the kernel using various tools. You will also learn how to optimize your programmer using Numba. You'll learn how to perform large-scale computations using Dask and implement distributed applications in Python; finally, you'll construct robust and responsive apps using Reactive programming. By the end, you will have gained a solid knowledge of the most common tools to get you started on HPC with Python."--Resource description page.
    Note: Title from resource description page (Safari, viewed April 17, 2019)
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  • 82
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    Online Resource
    Introduction to HTML : a complete beginner to expert course (2019)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781838554125
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 20 min., 44 sec.)) , digital, sound, color
    Keywords: HTML (Document markup language) ; Web site development ; Electronic videos ; local
    Abstract: "Introduction to HTML: A Complete Beginner-to-Expert Course is perfect for anyone who wants to learn HTML or learn more about it. HTML provides the structure for every website and it's the foundation for everything you see on the web. Browsers read HTML and render it out for web users. In this course, you will learn everything you need to know about HTML and HTML5. It's packed full of challenges and exercises to get you writing HTML quickly. As you follow the lessons, source code is also included to get you started quickly and easily. The course will provide you everything you need to get started with HTML and challenge you to learn HTML. This includes lectures on basic syntax, all the common tags used to develop web content and how and where you can write HTML, top resources and links are included. You'll learn about HTML structure within web pages, explore HTML5 semantic elements, build your own HTML template, create HTML lists; use hyperlinks, add images; and more."--Resource description page.
    Note: Title from resource description page (Safari, viewed March 6, 2019)
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  • 83
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    Online Resource
    Python for beginners : learn Python from scratch (2019)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781838552787
    Language: English
    Pages: 1 online resource (1 streaming video file (6 hr., 47 min., 41 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Electronic videos ; local ; Electronic videos
    Abstract: "This Python course was created especially for beginners in Python. Learn Python from scratch. Python is easy to learn and read, fast, universal (tons of useful libraries available). Python is often used by professional programmers. Even tho they use daily other languages, they still use Python to solve complex problems. Python is used by Google (Youtube), Facebook, Dropbox, Yahoo, NASA, IBM, Mozilla, Reddit. So learning it gives you an enormous opportunity on the market. I believe that everyone has the ability to develop software if they are taught properly. Including you. I'm going to give you the context of each new concept I teach you. After my course you will finally understand everything that you code. If you have any questions regarding the topics covered in this Python course, please feel free to ask. I'm always happy to help those who want to learn! Please check out the free lessons first!"--Resource description page.
    Note: Title from resource description page (Safari, viewed March 11, 2019)
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  • 84
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    Hands-on application development with React and Bootstrap (2019)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781789531381
    Language: English
    Pages: 1 online resource (1 streaming video file (6 hr., 53 min., 28 sec.)) , digital, sound, color
    Keywords: Bootstrap (Computer program) ; React (Computer program) ; Web site development ; Application software ; Development ; Web applications ; Electronic videos ; local
    Abstract: "React is one of the most popular front-end JavaScript library for interactive web applications. Bootstrap 4 is a free HTML, CSS, and JavaScript framework that allows developers to build responsive, mobile-first websites. Integrating Bootstrap with React allows web developers to write much cleaner code, thus reducing the time spent on the frontend. In this course, the author, Bruce Van Horn, will help you gain a thorough understanding of the Bootstrap framework and will show you how to build impressive web apps. You will build a website with UI elements such as image galleries and custom pricing/shopping tools along with Bruce. He will show you how to use HTML, ES6, CSS, React, and Bootstrap 4 to build your own dynamic website. By the end of the course, you will be able to build real-time responsive web apps using React and Bootstrap and will have learned to use the ES6 Syntax."--Resource description page.
    Note: Title from resource description page (Safari, viewed March 25, 2019)
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  • 85
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    Angular 5 (formerly Angular 2) : the complete guide (2018)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781788998437
    Language: English
    Pages: 1 online resource (1 streaming video file (24 hr., 53 min., 59 sec.)) , digital, sound, color
    Keywords: AngularJS (Software framework) ; Application software ; Development ; Web applications ; Web site development ; Electronic videos ; local ; Electronic videos
    Abstract: "This course starts from scratch, you neither need to know Angular 1 nor Angular 2! Angular 5 is simply the latest version of Angular 2. Join the most comprehensive and popular Angular course, because now is the time to get started! From Setup to Deployment, this course covers it all! You'll learn all about Components, Directives, Services, Forms, Http Access, Authentication, Optimizing an Angular App with Modules and Offline Compilation and much more - and in the end: you'll learn how to deploy an application! But that's not all! This course will also show you how to use the Angular CLI and features a complete project, which allows you to practice the things learned throughout the course! Angular is one of the most modern, performance-efficient and powerful frontend frameworks you can learn as of today. It allows you to build great web apps which offer awesome user experiences! Learn all the fundamentals you need to know to get started developing Angular applications right away. TypeScript is the main language used by the official Angular team and the language you'll mostly see in Angular tutorials. It's a superset to JavaScript and makes writing Angular apps really easy. Using it ensures, that you will have the best possible preparation for creating Angular apps. Check out the free videos for more information."--Resource description page.
    Note: Title from resource description page (Safari, viewed May 21, 2018)
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    The complete web developer course 2.0 (2018)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781835088104 , 1835088104
    Language: English
    Pages: 1 online resource (1 streaming video file (30 hr., 21 min., 24 sec.))
    DDC: 005.7/2
    Keywords: Web site development ; HTML (Document markup language) ; Cascading style sheets ; JavaScript (Computer program language) ; Cascading style sheets ; HTML (Document markup language) ; JavaScript (Computer program language) ; Web site development ; Electronic videos ; Sites Web ; Développement ; HTML (Langage de balisage) ; Feuilles de style en cascade ; JavaScript (Langage de programmation) ; HTML ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: "This course will take you on a journey where you will learn to build websites and mobile apps using HTML, CSS, JavaScript, PHP, Python, MySQL & more. The course starts with the fundamentals and shows tips to work quickly and efficiently with web technologies like HTML5, CSS3 and Python. You will learn to build your own responsive websites using more advanced techniques such as iQuery PHP 7, MySQL 5 and Twitter Bootstrap and to develop blogs and eCommerce sites with Wordpress, and learn smart ways to add dynamic content, using APls to connect to sites such as Google Maps and Facebook."--Resource description page
    Note: Title from resource description page (Safari, viewed January 31, 2019)
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    An introduction to CSS : a complete beginner to expert course (2018)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781838554996
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 23 min., 45 sec.)) , digital, sound, color
    Keywords: Cascading style sheets ; HTML (Document markup language) ; Web sites ; Design ; Web site development ; Electronic videos ; local
    Abstract: "This course is perfect for anyone who wants to learn CSS. CSS allow you to control the look and feel of your website and enable you to create a separation of presentation and content, including layout, colors, and fonts. This includes lots and lots of source code for you to experiment with to save you time so you can start coding CSS straightaway. You will learn how to find the top resources and links to help you learn the basics of styling; how to use classes and IDs to select elements; explore all colors for fonts and backgrounds; move content display properties; learn how to apply styling to common HTML such as lists, tables, and more; use floats to position elements and content; use the box model, padding; margins, border, height, and width for each element; CSS positioning; work with Hyperlinks; and make your sites look good. Cascading Style Sheets (CSS) are a style sheet language used to describe the presentation of a document written in a markup language such as HTML. CSS is a cornerstone technology of the World Wide Web, alongside HTML and JavaScript. CSS is used to define styles for your web pages, including the design, layout, and variations in display for different devices and screen sizes."--Resource description page.
    Note: Title from resource description page (Safari, viewed March 6, 2019)
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    The complete jQuery course : beginner to professional (2018)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781789612837
    Language: English
    Pages: 1 online resource (1 streaming video file (12 hr., 43 min., 59 sec.)) , digital, sound, color
    Keywords: JavaScript (Computer program language) ; Web site development ; Web sites ; Design ; Internet programming ; Electronic videos ; local
    Abstract: "This course has everything you need to use add jQuery to your skills as a web developer! Inside the course, you'll build a color guessing game, form exercise, YouTube API AJAX data application, combo lock game and much, much more! You will be amazed at how easy it can be to do some much. Best of all jQuery syntax just makes sense! Today. jQuery is still the most popular JavaScript library available, in fact over 19 Million websites use it and its used in almost 5000 libraries. jQuery Knowledge should be part of any front-end developers skill set and its a natural choice for anyone who is familiar with CSS and JavaScript. jQuery provides web developers and an easy way to create interactions with web pages. Basic understanding of the JavaScript Document Object Model and CSS is suggested as a prerequisite to this course. this course covers everything you need to know in order to start creating amazing web applications using jQuery."--Resource description page.
    Note: Title from resource description page (Safari, viewed October 8, 2018)
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    Bootstrap 4 from scratch with 5 projects (2018)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781789535457
    Language: English
    Pages: 1 online resource (1 streaming video file (9 hr., 19 min., 56 sec.)) , digital, sound, color
    Keywords: Bootstrap (Computer program) ; Web sites ; Design ; Web site development ; Electronic videos ; local
    Abstract: "The author has created a completely custom HTML learning environment for the first few sections of this course. Each lecture has an HTML page associated with it and has a start state. As we move along through the lectures, you code along with me learning all that Bootstrap 4 offers including helpers/utilities, components, widgets, flexbox and more.Bootstrap Starter Pack - Once you get through the sandbox, we will setup the starter pack which I also created for this course. This will give us a real development workflow to compile Bootstrap 4 from source and compile Sass. It will even give us a dev server with autoload. This is what we will use for the 5 projects. We will use the Starter pack to create 5 real-world themes."--Resource description page.
    Note: Title from resource description page (Safari, viewed July 5, 2018)
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    Beginning Vue.js (2018)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781789534719
    Language: English
    Pages: 1 online resource (1 streaming video file (6 hr., 12 min., 26 sec.)) , digital, sound, color
    Keywords: Vue (Electronic resource) ; Application software ; Development ; Web applications ; Web site development ; JavaScript (Computer program language) ; Electronic videos ; local
    Abstract: "Developers can do wonders with Vue.js, an ecosystem that scales between a library and a full-featured framework. Beginning Vue.js teaches all that you need to know about Vue.js to create modern interactive web applications. It starts with the basics, such as lists and filters, and then progresses to advanced features such as using Jasmine for testing Vue.js and creating universal applications with Electron. By the end of the course, you will also know how to integrate the Vue.js framework with others."--Resource description page.
    Note: Title from resource description page (Safari, viewed January 23, 2019)
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    Hands-on NLP with NLTK and Scikit-learn (2018)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781789345612
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 46 min., 32 sec.)) , digital, sound, color
    Keywords: Natural language processing (Computer science) ; Python (Computer program language) ; Electronic videos ; local
    Abstract: "There is an overflow of text data online nowadays. As a Python developer, you need to create a new solution using Natural Language Processing for your next project. Your colleagues depend on you to monetize gigabytes of unstructured text data. What do you do? Hands-on NLP with NLTK and scikit-learn is the answer. This course puts you right on the spot, starting off with building a spam classifier in our first video. At the end of the course, you are going to walk away with three NLP applications: a spam filter, a topic classifier, and a sentiment analyzer. There is no need for fancy mathematical theory, just plain English explanations of core NLP concepts and how to apply those using Python libraries. Taking this course will help you to precisely create new applications with Python and NLP. You will be able to build actual solutions backed by machine learning and NLP processing models with ease."--Resource description page.
    Note: Title from resource description page (Safari, viewed August 15, 2018)
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    Build real world websites from scratch using HTML5 and CSS3 (2018)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781789343632
    Language: English
    Pages: 1 online resource (1 streaming video file (5 hr., 50 min., 29 sec.)) , digital, sound, color
    Keywords: HTML (Document markup language) ; Cascading style sheets ; Web site development ; Web sites ; Design ; Electronic videos ; local
    Abstract: "This an engaging course, that makes your learning experience fun and exciting while you are acquiring precious skills that will prepare you to become one of the most sought after professionals in the web development market. First of all, you are going to understand the structure of a web page. Then you will setup your free web hosting which comes as a bonus with this course. After that, you will move to HTML5 and learn the components that build up the skeleton of a web page; you will cover various concepts to a detailed level: paragraph, links, forms, iframes, and so on. Then, you will move to CSS3 and learn how to add professional decoration and styling to your websites, you will also be introduced to advanced skills like CSS3 transitions and animations."--Resource description page.
    Note: Title from resource description page (Safari, viewed June 4, 2018)
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    Learning Vue.js 2.0 (2018)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781788397414
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 46 min., 36 sec.)) , digital, sound, color
    Keywords: JavaScript (Computer program language) ; Web site development ; Web applications ; Electronic videos ; local
    Abstract: "This video course shows developers how to build high-performing, reactive web interfaces with Vue.js. It starts from scratch, teaching you how to build a 'Hello World!' application in Vue.js and moves towards building advanced applications step by step. You'll earn the concepts that you need to know about Vue.js. You'll build an application as you go, putting the concepts we've explained into practice. Several modern tools such as Webpack, vue-cli, hot reloading, and vue devtools will be used to develop modern web applications, focusing on the view layer to provide the most performant experience for users. Also you will use the vue-cli-based Webpack template and look at how we can build on top of that starter kit. By the end of this course, you will be able to build complex and large web applications with Vue.js and will also understand how to make single-file-based reusable components which can be used across projects."--Resource description page.
    Note: Title from resource description page (Safari, viewed December 10, 2018)
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    Apache Spark Streaming with Python and PySpark (2018)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781789808223
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 24 min., 2 sec.)) , digital, sound, color
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Streaming technology (Telecommunications) ; Big data ; Python (Computer program language) ; Electronic videos ; local
    Abstract: "Spark Streaming is becoming incredibly popular, and with good reason. According to IBM, 90% of the data in the World today was created in the last two years alone. Our current output of data is roughly 2.5 quintillion bytes per day. The World is being immersed in data, more so each and every day. As such, analyzing static DataFrames for non-dynamic data is becoming less and less of a practical approach to more and more problems. This is where data streaming comes in, the ability to process data almost as soon as it's produced, recognizing the time-dependency of the data. Apache Spark Streaming gives us an unlimited ability to build cutting-edge applications. It is also one of the most compelling technologies of the last decade in terms of its disruption in the big data world. Spark provides in-memory cluster computing, which greatly boosts the speed of iterative algorithms and interactive data mining tasks. Spark also is a powerful engine for streaming data as well as processing it. The synergy between them makes Spark an ideal tool for processing gargantuan data fire hoses. Tons of companies, including Fortune 500 companies, are adapting Apache Spark Streaming to extract meaning from massive data streams; today, you have access to that same big data technology right on your desktop. This Apache Spark Streaming course is taught in Python. Python is currently one of the most popular programming languages in the World! Its rich data community, offering vast amounts of toolkits and features, makes it a powerful tool for data processing. Using PySpark (the Python API for Spark), you will be able to interact with Apache Spark Streaming's main abstraction, RDDs, as well as other Spark components, such as Spark SQL and much more! Let's learn how to write Apache Spark Streaming programs with PySpark Streaming to process big data sources today!"--Resource description page.
    Note: Title from resource description page (Safari, viewed October 23, 2018). - Instructor's name from title screen
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    Python for beginners : learn Python programming (Python 3) (2018)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781789617122
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 23 min., 55 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Object-oriented programming languages ; Electronic videos ; local ; Electronic videos
    Abstract: "This course will teach you Python in a practical manner, complete with examples, quizzes, exercises, and more. You will learn when to use Python 2 and Python 3; both versions are covered in the course and you will learn to program in both. You'll learn how to take tedious and repetitious tasks and turn them into programs that will save you time and simplify your life on Linux, UNIX, or MAC systems. You will learn how to prepare your computer for programming in Python; how to work with various data types including strings, lists, tuples, dictionaries, Booleans; how to perform mathematical operations using Python, and more."--Resource description page.
    Note: Title from resource description page (Safari, viewed November 9, 2018)
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    Python for finance : investment fundamentals and data analytics (2018)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781789618976
    Language: English
    Pages: 1 online resource (1 streaming video file (6 hr., 59 min., 15 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Finance ; Data processing ; Object-oriented programming (Computer science) ; Electronic videos ; local ; Electronic videos
    Abstract: "This course will take you on a journey where you'll learn how to code in Python. You will learn how to use Python in a real working environment and explore how Python can be applied in the world of Finance to solve portfolio optimization problems. The first part of the course is ideal for beginners and people who want to brush up on their Python skills. And then, once we have covered the basics, we will be ready to tackle financial calculations and portfolio optimization tasks. The Finance block of this course will teach you in-demand, real-world skills employers are looking for. This explains topics such as how to work with Python's conditional statements, functions, sequences, and loops, build investment portfolios, and more."--Resource description page.
    Note: Title from resource description page (Safari, viewed February 7, 2019)
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    Java to Python in 100 easy steps : the fastest way to learn Python for experienced Java programmers (2018)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781789611960
    Language: English
    Pages: 1 online resource (1 streaming video file (7 hr., 59 min., 2 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Java (Computer program language) ; Object-oriented programming (Computer science) ; Electronic videos ; local
    Abstract: "This course will help you learn Python, one of the most popular programming languages. Python offers both object oriented and structural programming features. We take a hands-on approach using a combination of Python Shell and PyCharm as an IDE to illustrate more than 100 Python coding exercises, puzzles, and code examples. We convert a number of Java examples to Python. You will learn about implementing Object Oriented Programming concepts in Python, inheritance, abstract classes, and constructors; you will also get a better understanding of a wide variety of Python data structures: lists, sets, dictionaries, and tuples."--Resource description page.
    Note: Title from resource description page (Safari, viewed September 20, 2018)
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    Learn Python 3 from scratch (2018)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781789135855
    Language: English
    Pages: 1 online resource (1 streaming video file (10 hr., 41 min., 50 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Python (Computer program language) ; Problems, exercises, etc ; Computer programming ; Problems, exercises, etc ; Electronic videos ; local ; Electronic videos
    Abstract: "This is the most comprehensive yet simple course on the Python programming language and it concentrates on Python 3.x. This means that what you will learn is relevant, not obsolete. No prior coding experience is needed. Python is one of the most useful programming languages to learn. You can use it for the back-end of web applications, games, in-house scripts, and even for building robust test automation frameworks. Each lecture consist of a video screencast and code files; there are quizzes and homework to test your knowledge; there's a high focus on practice and asking questions; and you will also learn coding best practices"--Resource description page.
    Note: Title from resource description page (Safari, viewed April 18, 2018)
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    Java interview guide : 200+ questions and answers (2018)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781789132328
    Language: English
    Pages: 1 online resource (1 streaming video file (5 hr., 53 min., 6 sec.)) , digital, sound, color
    Keywords: Java (Computer program language) ; Application software ; Development ; Web site development ; Employment interviewing ; Electronic videos ; local ; Electronic videos
    Abstract: "Preparing for Java Interview is tricky. You need to have a good understanding of the new features and revise concepts you used in your preparation. This course helps you to prepare for Java interviews with hands-on code examples covering 200+ Java interview question and answers on a varied range of topics."--Resource description page.
    Note: Title from resource description page (Safari, viewed April 3, 2018)
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    A front-end web developer masterclass using HTML, CSS, and JavaScript (2018)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781789803358
    Language: English
    Pages: 1 online resource (1 streaming video file (17 hr., 1 min., 49 sec.)) , digital, sound, color
    Keywords: Web site development ; HTML (Document markup language) ; Cascading style sheets ; JavaScript (Computer program language) ; Electronic videos ; local
    Abstract: "This course is going to take you on a journey where you'll learn and practice HTML CSS and JavaScript all in one course. This includes various topics in HTML such as how to write and practice HTML, Heading Tags, Update template and lot more. You will be able to understand CSS, Advanced CSS, and Apply CSS in creating a website etc. This course is designed to help you learn and practice front-end coding for website development and design. Source Code and examples are included to get you started quickly. Links to top resources and more all available in one massive course. You will be able to create interactive websites from scratch and allows you to become familiar with coding and creating web pages and applications."--Resource description page.
    Note: Title from resource description page (Safari, viewed October 26, 2018)
    URL: lizenzpflichtig
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