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Is 'Getting Started with Python Programming Quickly' suitable for beginners?

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Release: 2022-06-08 14:41:02
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Is 'Getting Started with Python Programming Quickly' suitable for beginners?

"Get Started Quickly with Python Programming: Automate Cumbersome Work" was written by Albert Sweigart, translated by Wang Haipeng, and published by People's Posts and Telecommunications Press in July 2016.

Most of the tasks faced by people today can be accomplished by writing computer software. (Recommended learning: Python video tutorial)

Python is an interpreted, object-oriented, dynamic data type high-level programming language. Through Python programming, we can solve many tasks in real life.

This book is a practical guide to Python programming for practice.

The purpose of this book is not only to introduce the basic knowledge of the Python language, but also to teach readers how to apply these knowledge and skills through project practice. The first part of the book introduces basic Python programming concepts, and the second part introduces a number of different tasks that can be automated by the computer by writing Python programs. Each chapter in the second part has some project procedures for readers to learn. Some exercises and in-depth practical projects are also provided at the end of each chapter to help readers consolidate the knowledge they have learned. Solutions to all exercises are provided in the appendix.

This book is suitable for anyone who wants to learn programming through Python, especially for beginners who lack programming foundation. By reading this book, readers will be able to take advantage of powerful programming languages ​​and tools, and experience the joy of Python programming.

About the author

Al Sweigart is a software developer who also teaches programming to children and adults. He has written several Python books for beginners, including "Python Cryptozoology Programming", "Python Game Programming Quick Start" and "Python and Pygame Game Development Guide".

For more Python related technical articles, please visit the Python Tutorial column to learn!

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