Learn Ai-Assisted Python Programming: With Github Copilot and Chatgpt

Leo Porter

ISBN 10: 1633437787 / ISBN 13: 9781633437784

Verlag: Manning Publications, 2023

Beschreibung

New copy - Usually dispatched within 4 working days. 399.

Bestandsnummer des Verkäufers B9781633437784

Bibliografische Details

• Titel: Learn Ai-Assisted Python Programming: With Github Copilot and Chatgpt
• Verlag: Manning Publications
• Veröffentlichungsdatum: 2023
• Sprache: Englisch
• ISBN-10: 1633437787
• ISBN-13: 9781633437784
• Bindung: Paperback / softback
• Zustand: New

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

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.