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Learn Python Programming

You're reading from   Learn Python Programming A comprehensive, up-to-date, and definitive guide to learning Python

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781835882948
Length 616 pages
Edition 4th Edition
Languages
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Authors (2):
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Heinrich Kruger Heinrich Kruger
Author Profile Icon Heinrich Kruger
Heinrich Kruger
Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
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Table of Contents (11) Chapters Close

Learn Python Programming, Fourth Edition: A Comprehensive, Up-to-Date, and Definitive Guide to Learning Python FREE CHAPTER
1 A Gentle Introduction to Python 2 Built-In Data Types 3 Conditionals and Iteration 4 Functions, the Building Blocks of Code 5 Comprehensions and Generators 6 OOP, Decorators, and Iterators 7 Exceptions and Context Managers 8 Files and Data Persistence 9 Cryptography and Tokens 10 Testing

A word about AI

In the last year or so, the world has witnessed the advent of AIs. There are quite a few options on the market now, some of which provide tools for programmers.

The fact that there are instruments able to write pieces of code does not invalidate any of the reasons why one should learn a programming language. AI tools are far from being able to do what a person can do. They are not perfect, and at the time of writing they are mostly useful to help with repetitive, and sometimes menial tasks.

Several IDEs can be integrated with technologies like Github Copilot (and the likes). Visual Studio Code, Zed, Intellij Idea, PyCharm, all provide ways to enhance their capabilities with AI plugins. There are even some new IDEs that were designed specifically around AI features, such as Cursor.

While we do use such tools in our work, we feel it is crucial to stress how important it is for you to try and understand the code examples from this book on your own. Please try to work them...

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