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

Porter, Leo/ Zingaro, Daniel

ISBN 10: 1633437787 / ISBN 13: 9781633437784

Edité par Manning Pubns Co, 2023

A propos de cet article

300 pages. 9.25x7.37x0.75 inches. In Stock.

N° de réf. du vendeur zk1633437787

Détails bibliographiques

• Titre: Learn Ai-assisted Python Programming: With Github Copilot and Chatgpt
• Éditeur: Manning Pubns Co
• Date de parution: 2023
• Langue: anglais
• ISBN à 10 chiffres: 1633437787
• ISBN à 13 chiffres: 9781633437784
• Reliure: Paperback
• État de l'article: Brand New

A propos de ce titre

Synopsis

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.

À propos de l?auteur

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.