Learn AI-Assisted Python Programming With GitHub Copilot and ChatGPT, Porter L., Zingaro D., 2024

Learn AI-Assisted Python Programming With GitHub Copilot and ChatGPT, Porter L., Zingaro D., 2024.

   The way people write computer programs has changed forever. Using GitHub Copilot, you describe in plain English what you want your program to do, and the AI generates it instantly.
Th is book shows you how to create and improve Python programs using AI—even if you’ve never written a line of computer code before. Spend less time on the slow, low-level programming details and instead learn how an AI assistant can bring your ideas to life immediately. As you go, you’ll even learn enough of the Python language to understand and improve what your AI assistant creates.

Learn AI-Assisted Python Programming With GitHub Copilot and ChatGPT, Porter L., Zingaro D., 2024


Merging phone picture libraries.
Suppose that you take a lot of pictures on your phone. Your partner (or sibling, or parent, or child) also takes a lot of pictures on their phone. You each have hundreds or thousands of pictures! Sometimes you send pictures to your partner, and they send pictures to you, so that you and your partner have some but not all of each other’s pictures.

You live life like this for a while, but honestly, it’s becoming a mess. Half the time you want a picture, you can’t find it because it’s a picture that your partner took on their phone that they didn’t send you. And you’re starting to have many duplicate pictures all over the place.

You then have an idea. “What if we take all of the pictures from my phone,” you exude, “and all of the pictures from your phone, and we create a combined library of all of the pictures! Then we’ll have all of the pictures in one place!”.

Contents.
Foreword.
Acknowledgments.
Introduction.
About the authors.
About the cover illustration.
1. Introducing AI-assisted programming with Copilot.
2. Getting started with Copilot.
3. Designing functions.
4. Reading Python code: Part 1.
5. Reading Python code: Part 2.
6. Testing and prompt engineering.
7. Problem decomposition.
8. Debugging and better understanding your code.
9. Automating tedious tasks.
10. Making some games.
11. Future directions.
References.
Index.



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2024-05-19 23:29:00