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  • [Erscheinungsort nicht ermittelbar] : Packt Publishing  (7)
  • Films de formation  (7)
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  • 1
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing
    ISBN: 9781835464755 , 1835464750
    Sprache: Unbestimmte Sprache
    Seiten: 1 online resource (1 video file)
    DDC: 005.13
    Schlagwort(e): iOS (Electronic resource) ; Swift (Computer program language) ; Application software Development ; Swift (Langage de programmation) ; Logiciels d'application ; Développement ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Kurzfassung: This course begins with an insightful introduction to the app development landscape. It then progresses to the hands-on creation of various apps, starting with a Resume App designed to familiarize you with SwiftUI and app designing principles. As you advance, you'll delve into the Text Editor App, where you'll master Swift basics including variables, constants, data types, and structuring reusable views. This segment solidifies your understanding of Swift's core concepts, paving the way for more complex app structures. In the Daily Journal App, you'll explore lists, multi-screen views, and SwiftData, gaining proficiency in handling data, creating detailed views, and managing data input. Next, the Course List App section shifts focus to web APIs and JSON, where you'll learn to fetch, decode, and display data from the web, a crucial skill in modern app development. Finally, the course culminates with practical guidance on getting your app onto the App Store, covering everything from setting up a developer account to managing certificates and crafting compelling metadata. The course concludes with an outro and a bonus video on adding search functionality to your Journal App, ensuring a well-rounded skillset. What you will learn Navigate and utilize Xcode for app development Design interfaces using SwiftUI components like Views, HStack, and VStack Implement Swift basics including variables, types, and control structures Create and manage Lists and Arrays in Swift Integrate and manage data with SwiftData Fetch and handle data from Web APIs Decode and display JSON data effectively Audience This course is ideal for beginners and newcomers in the field of iPhone App Development. The only prerequisite is access to a Mac (Apple) computer, which will serve as your gateway to learning and crafting innovative applications from scratch. About the Author Nick Walter: Nick Walter is an experienced mobile and web developer and has worked with technologies such as iOS, Android, Django, and Python. He learned to code about seven years ago. He had limited access to training resources back then. Whilst he learned to code, he also realized the need to change the way that people learn to code. That's when Nick took up teaching. His experience as an online student has definitely influenced his teaching style--he knows what it is like to be in their shoes. He started his teaching career in 2014, with the Internet's first Swift course. He now teaches a range of technologies such as iOS, Android, Django, Kotlin, Python, HTML, and Blockchain.
    Anmerkung: Machine-generated record
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  • 2
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing
    ISBN: 9781835461020 , 1835461026
    Sprache: Unbestimmte Sprache
    Seiten: 1 online resource (1 video file)
    DDC: 005.13/3
    Schlagwort(e): Scala (Computer program language) ; Computer software Development ; Quality control ; Computer programming ; Scala (Langage de programmation) ; Programmation (Informatique) ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Kurzfassung: In this focused guide, we will dive into the world of Gatling, the potent open-source tool for web application load-testing. Starting with Gatling installation, we will uncover the power of Gatling Recorder, perfect for capturing user journeys and transforming them into scripts effortlessly. We will start by executing our first Gatling script and gain insights from the application through testing. This will be followed by core topics such as adding pauses, checking response codes, examining response bodies, and data extraction; we will then master debugging session variables and code reuse techniques. Moving ahead, we will dive into advanced topics such as looping HTTP calls, authentication and working with CSV feeders. We will understand basic and complex custom feeders, as well as templating files. We will introduce load simulations, ramping up users, and running Gatling from the command line with runtime parameters. Throughout the course, we will tackle challenges, refine our skills, and learn to monitor test executions with Gatling test result reports. We will also guide you on integrating Gatling into CI pipelines, covering GitHub repositories, Jenkins setup, and Travis CI configuration. By the end, you will be a Gatling expert, capable of effectively load-testing web applications and seamlessly integrating Gatling into CI/CD workflows, ensuring optimal performance and reliability. What You Will Learn Install and configure Gatling, both standalone and in an IDE Set up your development environment for writing Gatling load-test scripts Learn how to reformat Gatling code so that it can easily be reused Run tests from the command line, using build tools like Maven and Gradle Monitor test executions from the command line in Gatling Run Gatling tests in a CI environment with Jenkins and Travis CI Audience This course caters to a diverse audience, including quality assurance engineers looking to broaden their skill set, even if they have minimal or no prior experience with Gatling. It's also suitable for programmers who are keen to delve into load-testing but lack familiarity with Gatling. Additionally, if you are currently using alternative load-testing tools such as JMeter, LoadRunner, or NeoLoad and want to embark on a journey to learn a new tool, this course is designed to meet your needs and help you become proficient in Gatling. About The Author James Willett Ltd.: James is a distinguished principal engineer with an impressive record spanning over 15 years in the software industry with a heavy focus on automation and performance testing. James possesses a deep passion for teaching, particularly through online tutorials, and he's eager to channel his extensive technical knowledge into the realm of education.
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  • 3
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing
    ISBN: 9781835463635 , 1835463630
    Sprache: Unbestimmte Sprache
    Seiten: 1 online resource (1 video file)
    DDC: 005.74
    Schlagwort(e): Blockchains (Databases) ; Cryptocurrencies ; Chaînes de blocs ; Cryptomonnaie ; cryptocurrencies ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Kurzfassung: DApp (decentralized application) operates on a blockchain network. DApps are decentralized and rely on a distributed network of computers rather than a central server. They use smart contracts for automation and tokens for transactions and are open-source, promoting transparency. This course is designed to equip us with the essential skills and knowledge needed to become proficient in building decentralized applications (DApps) on the blockchain. Starting with an introduction to blockchain technology and decentralization, the course progresses through hands-on tutorials covering Solidity, the Ethereum blockchain, smart contracts, and front-end development using React. Students will learn to create, compile, and deploy smart contracts, build DApp user interfaces, and interact with the Ethereum blockchain. The course delves into advanced topics such as token creation, NFT marketplaces, and DeFi concepts. With practical exercises and projects like building a voting system, practical experience in DApp development, and optional sections on UI animation and React and state, learners will gain opportunities for further skill enhancement. By the end of this course, we will have a robust understanding of DApp development and the ability to build and deploy their DApp. The course imparts essential technical skills and emphasizes real-world project structuring, understanding DApp development, and preparing us for freelancing opportunities and blockchain careers. What You Will Learn Understand and code in Solidity for smart contract development Build user interfaces with React and Bootstrap Learn to interact with blockchain networks Develop real DApps such as yield farming systems and ERC20 tokens Master Mocha and Truffle for contract testing Set up a local blockchain environment for DApp development/testing Audience This course is designed for a diverse audience of individuals passionate about blockchain technology and DApp development. Beginners seeking to embark on their coding journey and aspiring developers looking to learn DApp as freelancers or within the blockchain industry. Entrepreneurs with innovative ideas can equip themselves with the skills needed to create functioning blockchain projects. Tech enthusiasts and existing developers can discover a wealth of knowledge for those intrigued by blockchain and DApp. Prerequisites include having a computer, the Internet, and a strong interest in DApp. 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.
    Anmerkung: Machine-generated record
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  • 4
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing
    ISBN: 9781801817356 , 1801817359
    Sprache: Unbestimmte Sprache
    Seiten: 1 online resource (1 video file)
    DDC: 006.3/2
    Schlagwort(e): Neural networks (Computer science) ; Machine learning ; Python (Computer program language) ; Réseaux neuronaux (Informatique) ; Apprentissage automatique ; Python (Langage de programmation) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Kurzfassung: Image segmentation is a key technology in the field of computer vision, which enables computers to understand the content of an image at a pixel level. It has numerous applications, including autonomous vehicles, medical imaging, and augmented reality. You will start by exploring tensor handling, automatic gradient calculation with autograd, and the fundamentals of PyTorch model training. As you progress, you will build a strong foundation, covering critical topics such as working with datasets, optimizing hyperparameters, and the art of saving and deploying your models. With a robust understanding of PyTorch, you will dive into the heart of the course--semantic segmentation. You will explore the architecture of popular models such as UNet and FPN, understand the intricacies of upsampling, grasp the nuances of various loss functions, and become fluent in essential evaluation metrics. Moreover, you will apply this knowledge in real-world scenarios, learning how to train a semantic segmentation model on a custom dataset. This practical experience ensures that you are not just learning theory but gaining the skills to tackle actual projects with confidence. By course end, you will wield the power to perform multi-class semantic segmentation on real-world datasets. What You Will Learn Implement multi-class semantic segmentation with PyTorch Explore UNet and FPN architectures for image segmentation Understand upsampling techniques and their importance in deep learning Learn the theory behind loss functions and evaluation metrics Perform efficient data preparation to reshape inputs to the appropriate format Create a custom dataset class for image segmentation in PyTorch Audience This course is tailored to a diverse audience, making it accessible to both newcomers and experienced individuals in the field of computer vision. If you are an aspiring developer eager to delve into image segmentation or a data scientist aiming to expand your deep learning repertoire, this course is for you. While no prior image segmentation knowledge is required, a fundamental understanding of Python is essential. Familiarity with machine learning concepts will be beneficial. 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.
    Anmerkung: Machine-generated record
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  • 5
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing
    ISBN: 9781835465011 , 1835465013
    Sprache: Unbestimmte Sprache
    Seiten: 1 online resource (1 video file)
    DDC: 005.1/4
    Schlagwort(e): Python (Computer program language) ; Computer software Testing ; Debugging in computer science ; Python (Langage de programmation) ; Débogage ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Kurzfassung: Playwright is a cutting-edge browser automation tool that empowers you to test and automate seamlessly. Pair this with Pytest, a versatile Python testing framework, and you will unlock a whole new level of testing prowess. In this course, you go through the integration of Playwright's capabilities into the Pytest framework, leveraging the power of the pytest-playwright plugin. Starting with the fundamentals of testing using Pytest, dive into the pytest-playwright plugin and explore a range of Playwright tools. Learn to use web-first assertions with expect(), conquer modern testing challenges in the UI Testing Playground, and gain mastery over Playwright fixtures, custom setup/teardown routines, and test hooks. Implement the Page Object Model for organized testing, handle network events seamlessly, and delve into REST API testing, authentication, and API request context. Next, you will discover optimization techniques such as parallelism, and understand how to deploy your automated tests seamlessly into your CI pipeline. Parameterize your tests with predefined test data for versatility and efficiency, and embrace the principles of behavior-driven development with Python Behave. By the course's end, you will have the skills and knowledge to craft automated tests that deliver speed, reliability, and robustness using Playwright and Pytest. What You Will Learn Write Python scripts to launch browsers and automate tasks performed Locate web elements using various methods and perform actions on web elements Log in to websites and authenticate yourself using your accounts Write a script to automate inbox mail checking for new emails and reporting Deploy automated tests using GitHub CI Practice behavior-driven development with Playwright and Python Behave Audience This course caters to a diverse audience, primarily targeting beginner Python developers who are keen to explore the world of web automation testing. If you are just starting your journey in Python and aspire to master web automation, this course offers a solid foundation. Additionally, automation testers looking to broaden their skill set, specifically in Playwright, will find this course invaluable. No prior knowledge is necessary, making it an accessible starting point for anyone interested in web automation and testing. A basic understanding of Python and HTML is recommended. About The Author Rahul Mula: Rahul Mula is a passionate developer with expertise 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. Rahul thrives on exploring diverse technologies and crafting innovative applications. He's the mastermind behind Keyviz, a remarkable open-source tool for real-time keystroke visualization. Rahul's contributions extend to the realm of education, where he has authored books and crafted courses on Python programming, benefiting thousands of eager learners.
    Anmerkung: Machine-generated record
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  • 6
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing
    ISBN: 9781835462980 , 1835462987
    Sprache: Unbestimmte Sprache
    Seiten: 1 online resource (1 video file)
    DDC: 658.4/038011
    Schlagwort(e): Microsoft Power BI (Computer file) ; Business intelligence Computer programs ; Information visualization Computer programs ; Visualisation de l'information ; Logiciels ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Kurzfassung: Welcome to the Power BI masterclass! This masterclass course is designed to equip you with the expertise needed to leverage Power BI effectively. Throughout this course, we will guide you through a multifaceted journey, unraveling the intricacies of Power BI step by step. Starting with the fundamentals, we will explore the Power BI interface and its various features. We will learn how to create visually engaging reports and gain insights into advanced dataset management. We will also delve into DAX calculations, time intelligence, and data modelling to elevate our analytical capabilities. The course comprises three sections, each building upon the last. In the first section, we will discover how to enable interactive features, navigate the interface, create dynamic reports, and employ data manipulation techniques. Advanced dataset management and DAX calculations await us in the second section, enabling us to tackle complex data challenges. In the third section, we will dive into the heart of Power BI, mastering the art of creating a robust data model. Learn how to transform and structure data efficiently, connect dimension tables, and add critical elements such as a dates table. By the end of this course, we will be proficient in harnessing Power BI's capabilities to turn raw data into actionable insights. What You Will Learn Build visually engaging and dynamic reports Explore complex data transformations and manipulations Understand DAX calculations and time-based analysis Create robust data models for effective insights Explore buttons, bookmarks, and drill-through functionalities Clean, transform, and enrich data efficiently Audience This course caters to aspiring data analysts, business professionals, and anyone eager to harness the potential of Power BI for data-driven decision-making. No prior experience with Power BI is necessary; we start from the fundamentals. Basic familiarity with data concepts and Microsoft Office tools is beneficial but not mandatory. As we progress, you will gain comprehensive skills in data modelling, DAX calculations, and report creation. 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 possesses a fervent dedication to both learning and teaching. His unwavering commitment extends to providing educational services and assisting individuals in achieving their objectives, mastering their fields, and embarking on new career journeys.
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  • 7
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing
    ISBN: 9781835884928 , 183588492X
    Sprache: Unbestimmte Sprache
    Seiten: 1 online resource (1 video file)
    DDC: 005.44769
    Schlagwort(e): Electronic data processing personnel Certification ; Project management Study guides Examinations ; Information technology Study guides Management ; Gestion de projet ; Examens ; Guides de l'étudiant ; Technologie de l'information ; Gestion ; Guides de l'étudiant ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Kurzfassung: The course begins by laying a solid foundation in project management principles, navigating through essential concepts such as the project life cycle, compliance, privacy, and ESG factors. It imparts a nuanced understanding of varied infrastructure concepts for IT projects and delves into the intricacies of software development life cycles and cloud models. The course focuses on equipping you with the knowledge to manage projects within an IT context, integrating advanced methodologies like Agile, PRINCE2, and DevOps. It addresses the complexities of digital, data, and operational security within project management while emphasizing the importance of strong corporate IT security policies. The course wraps up by consolidating your learning with practical applications, from establishing effective communication and stakeholder engagement to mastering procurement and vendor evaluation, preparing you to adeptly handle real-world project challenges. What you will learn Interpret project life cycle phases Manage IT project infrastructures Enforce robust IT security policies Execute effective risk responses Lead projects with ESG considerations Harness DevOps for project efficiency Audience This course is ideal for IT project managers and experienced professionals aiming to refine their project oversight capabilities. Familiarity with IT concepts and project management frameworks is advantageous. Perfect for those pursuing CompTIA Project+ certification and excellence in IT project execution. 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. Robin Abernathy: Robin Abernathy's path to the IT world was filled with unexpected turns. Initially resistant to writing and computer careers, she ended up managing a computer store, igniting her passion for IT. With over two decades in the field, she's specialized in cybersecurity, project management, and CompTIA training materials. Joining ACI Learning in 2022, Robin overcame her aversion to her southern accent to present on camera. Robin holds a BS in Communications, focusing on Technical Writing, and boasts certifications including CompTIA's A+, Network+, Security+, and more. Her distinctions include BS in Communications, Author and certifications include CompTIA A+, Network+, Security+, Project+, Server+, CASP+, ITIL v3, CAPM, MCP. Lauren Deal: With a decade of in-classroom teaching experience, work as a national television host on the Home Shopping Network, and a background as a talk show producer and host, Lauren possesses a perfect blend of skills and interests in IT. This unique combination makes her an ideal learner advocate for ACI Learning training. She excels in asking clarifying questions related to exam objectives and enthusiastically learns alongside ACI Learning audiences. Additionally, Lauren has been studying the evolving use of AI technology and the development process of Augmented and Virtual Reality. Her certifications include AWS Certified Cloud Practitioner.
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