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  • 1
    Online Resource
    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)
    URL: lizenzpflichtig
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  • 2
    Online Resource
    Online Resource
    Python for machine learning : the complete beginner's course (2022)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 29 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This course provides you with the essentials to understand how companies like Google and Amazon use machine learning and artificial intelligence (AI) to extract meaning and insights from enormous data sets. You'll learn how to work with machine learning algorithms and develop the highly-employable skills of a data scientist. These videos minimize jargon and mathematical notations, instead explaining the topics in plain English to make them easy to comprehend. Once you get your hands on the sample code we provide, you'll be able to play with it and build on it. The emphasis of this course is on understanding and using these algorithms in the real world, not in a theoretical or academic context. You'll walk away from each video with a fresh idea that you can put to use right away! You'll work in Python using sciket-learn (sklearn), a free machine learning library built for Python. All you need to succeed in this course is basic skills in mathematics and Python. Even if you have no prior statistical experience, you will learn to work with machine learning algorithms like a pro.
    Note: Online resource; title from title details screen (O'Reilly, viewed October 18, 2022)
    URL: lizenzpflichtig
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  • 3
    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)
    URL: lizenzpflichtig
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  • 4
    Online Resource
    Online Resource
    React.JS : the complete course for beginners (2022)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 58 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.4/37
    Keywords: User interfaces (Computer systems) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: React JS has taken center stage in easing the creation of dynamic user interfaces for websites and apps. Because JavaScript is one of the most widely used languages for websites and apps, it's no wonder that many people are working on libraries and frameworks to help it grow. And one of the most popular is React, which allows you to create unique HTML components and create sophisticated apps in a short amount of time. However, these frameworks and libraries are not always simple to understand. And that's where this course comes in: it breaks down challenging ideas, making them easy to comprehend even for newcomers to the development field. The course is enjoyable, engaging, and interactive. It takes a hands-on approach to React JS, and includes fun projects, such as building a calculator app, to put your new skills into practice. Lessons are are backed up with essential learning tools, such as quizzes and assignments, to reinforce what you learn and help it stick.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 27, 2022)
    URL: lizenzpflichtig
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  • 5
    Online Resource
    Online Resource
    Data manipulation in Python (2022)
    [Shelter Island, New York] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 48 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: Data science is fast becoming one of the most well-suited occupations for success in the twenty-first century, and the need for data scientists has been increasing in the employment market over the last several years. The work is computerized, programming-driven, and analytical in nature, a natural fit for people with a unique mix of scientific training, computer expertise, and analytical abilities. If you have an interest in data science, this course will provide you with the skills and knowledge you need to enter this career path. Learn to work with data in Python—the language most often used in data analysis—on the Jupyter Notebook platform. Install and explore essential Python libraries for data science. Use the NumPy library to apply numerical operations to data. Work with data structures in Pandas, a powerful open-source tool built on top of NumPy. There’s a lot to learn, so this course goes step-by-step, skill-by-skill, and exercise-by-exercise. Each lesson builds on previous lessons to reinforce and build on what you’ve learned. Our goal is to equip you with all the tools you need to learn, practice, and master Python, Numpy & Pandas. You'll walk away from each video with a fresh idea that you can put to use right away!
    Note: Online resource; title from title details screen (O’Reilly, viewed January 24, 2023)
    URL: lizenzpflichtig
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  • 6
    Online Resource
    Online Resource
    Python for data science and machine learning : zero to hero (2023)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 1 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This A to Z course introduces newcomers to the world of data science and teaches the fundamental skills for using machine learning and artificial intelligence (AI) to glean meaning and insights from data. It covers Python's data types and shows how to use the must-have Python data science libraries, including Pandas for data analysis and Matplotlib for creating visuals of the results. Once you understand how to format and clean your data and perform exploratory data analysis, we move to the machine learning side. Here, we introduce you to supervised vs unsupervised learning, as well as the core algorithms, including simple and multiple linear regression. We finish up with a deep dive into a recommender system for movies, and a chance to put together all your new skills and knowledge. Each topic is described in plain English, and the course does its best to avoid mathematical notations and jargon. Once you have access to the source code, you can experiment with it and improve upon it, learning and applying these algorithms in the real world. The data science field is lucrative and growing. This course will introduce you to all the foundational skills that a data scientist must have. If you have no background in statistics, don't let that stop you from enrolling in this course!.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 13, 2023)
    URL: lizenzpflichtig
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  • 7
    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)
    URL: lizenzpflichtig
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  • 8
    Online Resource
    Online Resource
    The complete Vue.js course for beginners (2023)
    [Place of publication not identified] : Packt Publishing
    Details
    ISBN: 9781805126676 , 1805126679
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 48 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Vue (Electronic resource) ; Web applications Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This comprehensive course is your gateway to learning Vue.js, one of the most popular JavaScript frameworks renowned for its simplicity and flexibility. Starting with an introduction to Vue.js you will understand its unique features and advantages that have made it a top choice for web development. You will learn how to leverage Vue.js without installation. Next, you will dive into the installation and setup process, empowering you to create your own Vue.js projects. You will explore the powerful interpolation feature, allowing you to dynamically display data in your application. Events and parameters play a crucial role in Vue.js, enabling seamless communication between components. Two-way binding is a key feature of Vue.js, a seamless synchronization between data and user input. You will explore how to implement two-way binding with multiple inputs, offering a smooth user experience. Component reusability is a core concept in Vue.js, allowing you to build modular and scalable applications. You will learn how to create child components and establish data communication between parent and child components. Form handling is a fundamental aspect of web development. With Vue.js you will discover how to create simple and complete forms, implement form validation, and even integrate API data into your forms. As you progress, you will delve into computed properties, dynamic components, teleportation, and routing, expanding your capabilities and building more advanced applications. By the end of this course, you will have the knowledge and hands-on experience to build dynamic, responsive, and feature-rich web applications using Vue.js What You Will Learn Learn Vue.js interpolation, enabling you to display data within your application Learn to use methods and parameters to add interactivity to Vue.js components Learn the creation of child components in Vue.js Learn to pass data from child components to parent components Learn about routing and dynamic routing in Vue.js Implement form validation to ensure data integrity and user-friendly experiences Audience This course is tailored to a diverse range of individuals who are looking to take their skills in web development to the next level. It is ideal for ambitious students who are eager to surpass basic instruction levels and delve deeper into their learning journey. Programmers who are keen on acquiring the most in-demand web development ability will find this course invaluable. Developers who aspire to be among the top 10% of Vue developers will also greatly benefit from this course. You don't need any prior knowledge of Vue or any other JS framework to get started. However, it's a requirement you have at least a basic understanding of HTML, CSS, and JavaScript to complete this course. 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 June 2023.". - Online resource; title from title details screen (O'Reilly, viewed August 3, 2023)
    URL: lizenzpflichtig
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  • 9
    Online Resource
    Online Resource
    JavaScript for beginners (2022)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 32 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.2/762
    Keywords: JavaScript (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Master JavaScript basics and become a JavaScript developer! Whether you want a career in front-end or back-end development, you must have a solid understanding of this universal language. And you are in the right place to learn it, or learn more about it. The course starts from the basics and works up to advanced and expert topics, so it is perfect for both beginners and seasoned JavaScript professionals. It teaches everything you need to get started coding in JavaScript. Highlights include: Comprehensive JavaScript: It's an all-in-one package that will take you from the very fundamentals of JavaScript to building modern and complex applications. Modern JavaScript made easy: You'll receive guidance through fun and practical code examples, critical insights into how JavaScript works behind the scenes, and awesome complete projects. Think like a developer: You'll learn how to plan application features, architect your code, debug code, and many more real-world skills that you will need in your job as a developer. From beginner to expert: Unlike other courses, this one contains beginner, intermediate, advanced, and even expert topics, so you don't have to buy any other course to master JavaScript from the ground up!.
    Note: Online resource; title from title details screen (O'Reilly, viewed October 17, 2022)
    URL: lizenzpflichtig
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  • 10
    Online Resource
    Online Resource
    Python for Deep Learning (2022)
    [Place of publication not identified] : Manning Publications
    Details
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Machine learning
    Abstract: If you know the basics of Python and you want to know deep learning, this course is designed for you. You'll learn the theory behind this branch of artificial intelligence and machine learning, as well as the practical skills of building neural networks to create deep learning models for prediction and for automating and simplifying tasks. Once you've digested the fundamentals, we'll walk you through a project: implementing an artificial neural network in Python to create a deep learning model. Step by step, you'll see how to work with datasets and build each layer of the network. By the end of the course, you will be familiar with the fundamental neural network architectures, including recurrent neural networks (RNNs) and convolutional neural networks (CNNs)) networks, and you will be able to build your own DL neural networks using Python, Keras, and Tensorflow. In short, you will be ready to build models and create programs that take data input and automate feature extraction, simplifying real-world tasks for humans. This video course stands out from the hundreds of machine learning resources available on the internet because it filters out the fluff and unnecessary information and focuses on the essentials you need to get started on your deep learning journey. Consider this a fundamentals course that suits both beginners and more advanced deep learning practitioners who are looking to refresh or fill in the gaps in their knowledge.
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    MPI Ethno. Forsch.
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