Learn AI-Assisted Python Programming with GitHub Copilot - Daniel Zingaro

Learn AI-Assisted Python Programming with GitHub Copilot

(Autor)

Buch | Hardcover
296 Seiten
2023
Manning Publications (Verlag)
978-1-63343-778-4 (ISBN)
62,30 inkl. MwSt
Learn AI-Assisted Python Programming: With GitHub Copilot teaches you to code the AI way. Instead of starting with slow, low-level details, you'll learn how to bring your ideas to life immediately using AI-generated code. Absolutely no programming experience required!
Writing computer programs in Python just got a lot easier! Use AI-assisted tools like GitHub Copilot to go from idea to application faster than you can say "ChatGPT".

In Learn AI-Assisted Python Programming: With GitHub Copilot you'll learn how to:



Write fun and useful Python applications—no programming experience required!
Use the Copilot AI coding assistant to create Python programs
Write prompts that tell Copilot exactly what to do
Read Python code and understand what it does
Test your programs to make sure they work the way you want them to
Fix code with prompt engineering or human tweaks
Apply Python creatively to help out on the job

Learn AI-Assisted Python Programming: With GitHub Copilot is a beginner's guide that embraces AI as the future of coding. AI-assisted coding tools like GitHub Copilot and ChatGPT empower you to create useful Python applications without learning all the low-level details of a programming language. You'll hit the ground running as you write prompts that tell your AI-assistant exactly what you want your programs to do. Along the way, you'll pick up the essentials of Python programming and practice the higher-level thinking you'll need to create working apps for data science, automation, and even video games.

Dr. Leo Porter is an Associate Teaching Professor of computer science at UC San Diego. He has over a decade of teaching experience and is well-known for his award-winning research on effective pedagogies and assessments in computer science. Dr. Daniel Zingaro is an Associate Teaching Professor of computer science and award-winning teacher at the University of Toronto. His main area of research is computer science education research, where he studies how students learn computer science material.

Erscheinungsdatum
Verlagsort New York
Sprache englisch
Maße 188 x 235 mm
Gewicht 560 g
Themenwelt Mathematik / Informatik Informatik Programmiersprachen / -werkzeuge
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
ISBN-10 1-63343-778-7 / 1633437787
ISBN-13 978-1-63343-778-4 / 9781633437784
Zustand Neuware
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