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Learning GitHub Copilot (Early Release)

Learning GitHub Copilot (Early Release)



КнигиКниги Рейтинг публикации: 0 (голосов: 0)  
https://i124.fastpic.org/big/2025/0302/f7/74de62daa819806cea9b20048677b5f7.webp
Free Download Learning GitHub Copilot (Early Release)
English | 2024 | ISBN: 9781098164645 | 300 pages | EPUB | 4.27 Mb
Harness the power of generative AI in your coding with GitHub Copilot. In this practical guide, author Brent Laster explains what Copilot is, how it works, and what it can do for you. You'll learn how to leverage AI to automate and simplify development, testing, documentation, and more. Software professionals in all roles will find the information needed to supercharge your productivity.

Learning GitHub Copilot shows DevOps engineers, software developers, and database administrators how to make the most of the tool's code completion and generation capabilities. You'll understand how to take advantage of the tool's chat interface to get rich, detailed responses. Suitable for all skill levels-no matter what coding language or framework you use-Learning GitHub Copilot provides the knowledge you need to fully utilize Copilot.
Learn how GitHub Copilot leverages GenAI and what it can do
Understand when and how to use Copilot's separate inline and chat interfaces
Explore ways to use Copilot for creating, testing, documenting, explaining, and fixing code
Learn how to use Copilot for testing frameworks, SQL generation, and Kubernetes manifests
Understand how Copilot integrates with IDEs and GitHub
Discover the key strategies, tips, and tricks to make the most of Copilot's capabilities
Brent Laster is an experienced industry technologist and leader. He's a global trainer, author, and the founder of Tech Skills Transformations, a company dedicated to helping people take their technical skills to new levels. Brent creates and conducts training courses on GitHub Copilot as well as helping organizations with adoption.

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  • Добавлено: 03/03/2025
  • Автор: OneDDL
  • Просмотрено: 3
Ссылки: (для качалок)
Общий размер публикации: 3,95 МБ
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