Murach's Ai-assisted Programming With Copilot
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Murach's Ai-assisted Programming With Copilot
Artikelnr.: 146726191

Murach's Ai-assisted Programming With Copilot

Artikelnr.: 146726191

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Besondere Merkmale

Comprehensive Guide
This book provides an in-depth exploration of AI-assisted programming, blending theory and practical applications, making it an essential resource for modern coders looking to enhance their software development skills.
AI Tools Integration
Learn to effectively utilize AI tools like GitHub Copilot within your coding workflows, ensuring that developers can streamline processes, increase productivity, and write high-quality code faster than ever.
Skill Enhancement
Designed for both novice and experienced coders, this guide equips readers with the knowledge to leverage AI in programming, significantly enhancing problem-solving capabilities and overall coding efficiency in a competitive tech landscape.

Produktdetails

Shop Murach's Ai-assisted Programming With Copilot online at a best price in Austria. B0F7V316CR
  • This book is for any programmer who wants to learn how to use an AI assistant to develop software faster and better than ever before. To do that, this book shows how to use GitHub Copilot, the leading AI assistant for developing software. When used correctly, Copilot can help programmers develop software faster than ever before. In addition, it can help programmers develop code that's of a higher quality. In some cases, it can even help programmers develop software that they wouldn't be able to create without AI.This book shows how to use Copilot by presenting examples that use languages like HTML, CSS, JavaScript, Python, and SQL. However, most of the concepts and skills presented in this book also apply to other programming languages, libraries, and frameworks. So, whatever kind of software you want to develop, this book can help you.The only prerequisites for this book are a basic understanding of HTML and CSS as well as an understanding of any programming language like JavaScript or Python. That's because when you use AI to generate code, you still need to review and thoroughly test that code.Every Murach book guarantees high quality. The realistic examples show how each feature works in context. And the exercises at the end of each chapter let you gain valuable hands-on experience.
Publisher Murach
Publication date June 30, 2025
Language English
Print length 232 pages
ISBN-13 978-1943873234
Item Weight 13.3 ounces (377.06 grams)
Dimensions 7 x 0.75 x 9.25 inches (17.8 x 1.9 x 23.5 cm)

Für wen ist das Produkt geeignet?

Suitable For
  • Aspiring Programmers

    Ideal for beginners seeking foundational programming concepts with AI tools to enhance learning and efficiency.

  • Professional Developers

    Beneficial for experienced coders looking to integrate AI into their workflow using GitHub Copilot for productivity.

  • Students in Tech

    Great resource for students studying computer science who want hands-on experience with AI-supported programming practices.

Not Suitable For
  • Advanced Coders

    Not suitable for seasoned experts who may find the material too basic or lacking in advanced techniques.

PRODUKTBESCHREIBUNG

Haben Sie eine Frage? Mit uns chatten

Kundenfragen und -antworten

  • Frage: What is Murach's AI-assisted Programming with Copilot about?

    Antworten: Murach's AI-assisted Programming with Copilot introduces readers to modern programming techniques using GitHub's AI tool, Copilot. The book emphasizes practical coding skills, teaching readers how to leverage Copilot for enhanced productivity. Each chapter blends theory with hands-on exercises, making it ideal for both beginners and seasoned developers seeking to integrate AI tools into their workflows.
  • Frage: Who is the target audience for this book?

    Antworten: This book is perfect for aspiring programmers, computer science students, and experienced developers wanting to enhance their coding skills with AI assistance. It's designed to cater to varying levels of expertise, providing foundational knowledge as well as advanced techniques. By incorporating AI into traditional programming methods, readers can gain insights that are beneficial in contemporary job markets, especially in tech-centric roles.
  • Frage: What programming languages are covered in this book?

    Antworten: Murach's AI-assisted Programming with Copilot focuses primarily on popular programming languages such as Python and JavaScript. The author showcases how to use Copilot with these languages, helping readers to write code more efficiently and creatively. Users can expect practical scenarios where coding challenges are addressed with the help of AI, making it applicable for real-world projects.
  • Frage: How does AI assist in programming as per the book?

    Antworten: The book explains how AI assists programmers by providing intelligent code suggestions, debugging help, and other automated features through Copilot. This can significantly enhance the coding experience by reducing repetitive tasks and allowing developers to focus on complex problems. Readers will learn techniques to effectively collaborate with AI, treating it as a coding partner that improves both speed and accuracy.
  • Frage: Are there any hands-on projects included?

    Antworten: Yes, the book includes numerous hands-on projects designed to reinforce learning. Each project allows readers to apply what they learn about AI-assisted programming in practical scenarios. By completing these projects, readers not only solidify their understanding but also build a portfolio of work that can be showcased to potential employers, enhancing their job prospects.
  • Frage: Can beginners understand the content without prior programming experience?

    Antworten: Absolutely! The book is structured to guide beginners through fundamental concepts before introducing more advanced topics. Each chapter builds on the last, ensuring that even those with no prior coding experience can grasp the material. Through clear explanations and step-by-step instructions, the book facilitates a solid foundation in programming complemented by AI tools.
  • Frage: Is there an online resource section for additional learning?

    Antworten: Yes, the book offers access to a companion website featuring supplementary resources. This includes code examples, video tutorials, and additional exercises that enhance the learning experience. This online component is particularly beneficial for readers who wish to delve deeper into topics, offering ongoing support beyond the book's content.
  • Frage: How does this book compare to other programming books?

    Antworten: Murach's AI-assisted Programming with Copilot stands out by integrating AI seamlessly into the learning process. Unlike traditional programming books, it emphasizes collaboration with AI tools like Copilot, setting it apart in the programming literature landscape. Readers can expect not only to learn coding languages but also how to adapt to the evolving tech industry through AI.
  • Frage: What skill level is required to make the most out of this book?

    Antworten: While the book is accessible to beginners, having a basic understanding of programming concepts can enhance the learning experience. For intermediate developers, the book serves as a valuable resource to master AI integration in coding. Overall, all skill levels will find practical insights applicable across different programming sectors.
  • Frage: Where can I buy Murach's AI-assisted Programming with Copilot in Austria?

    Antworten: You can purchase Murach's AI-assisted Programming with Copilot on Ubuy, which offers a wide range of books and resources tailored for tech enthusiasts and programmers. Ubuy provides a convenient platform to access this title and other learning materials, ensuring you have everything you need to enhance your programming skills.

Intelligence & Semantics Editorial Review

** Murach's AI-Assisted Programming with Copilot** Murach's "AI-Assisted Programming with Copilot" is an exceptional resource for anyone looking to dive into the world of programming with the assistance of artificial intelligence. Known for their straightforward and accessible approach, Murach continues to impress with this compact guide, which is particularly suited for beginners eager to understand how to make the most out of GitHub Copilot. The book effectively lays out a clear foundation from the start, taking readers through the installation of Visual Studio Code, Python, and GitHub Copilot. This step-by-step methodology ensures that even those without prior experience can follow along seamlessly. What sets this book apart is its hands-on approach, moving past mere theory into practical applications that resonate with real-world coding scenarios. Readers can expect to work on various projects, ranging from simple Python scripts to sustaining responsive web designs, making the learning experience not just theoretical but also applicable. Murach also places a strong emphasis on critical programming practices such as testing, which is often overlooked in other educational materials. The coverage of doctests, unit testing with tools like pytest and Jest, and concepts such as test-driven development (TDD) ensures that readers not only learn how to write code effectively but also how to maintain and test it. This rigorous approach is complemented by clear explanations and practical examples, which echoes Murach's commitment to quality education in programming. Overall, "AI-Assisted Programming with Copilot" stands out as a comprehensive guide for anyone looking to learn how to effectively utilize AI in programming. Its user-friendly writing style, logical structure, and practical focus make it an indispensable tool for self-paced learning or as a handy reference. Murach once again delivers a valuable resource that reinforces its reputation for excellence in programming education. **

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Vorteile

  • Clear and beginner-friendly instructions for setting up and using GitHub Copilot.
  • Practical, hands-on projects that apply learned concepts effectively.
  • Strong focus on essential programming practices such as testing and TDD.
  • User-friendly writing style and well-organized structure for easy comprehension.

Nachteile

  • Limited support for specific programming languages like Erlang/Elixir/Phoenix.

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