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A practical collection of the most important Python techniques.

For beginning to intermediate Python programmers.

Python How-To by Yong Cui, walks you through the most important coding techniques in Python. Whether you are doing data science, building web applications, or...

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Python How-To
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A practical collection of the most important Python techniques.

For beginning to intermediate Python programmers.

Python How-To by Yong Cui, walks you through the most important coding techniques in Python. Whether you are doing data science, building web applications, or writing admin scripts, you will find answers to your "how-to" questions in this book. Author Yong Cui's clear and practical writing is perfect for beginners and veterans alike, with insightful code snippets, interesting graphics, and challenging exercises.

Python How-To includes over 60 detailed answers to questions like:

  • How do I join and split strings?
  • How do I access dictionary keys, values, and items?
  • How do I set and use the return value in function calls?
  • How do I process JSON data?
  • How do I create lazy attributes to improve performance?
  • How do I change variables in a different namespace?
  • ... and much more

Along the way, you will also learn how to take advantage of Python's versatile tools and libraries.

About the technology

No matter where you are on your Python journey, you will run into situations where you ask yourself: "How do I do that?"

This book provides concrete answers to the most common questions in areas such as manipulating text, working with collections, managing objects and functions, file management, etc.



Author: Yong Cui
Binding Type: Paperback
Publisher: Manning Publications
Published: 08/04/2023
Pages: 454
Weight: 1.8lbs
Size: 9.13h x 7.32w x 1.10d
ISBN: 9781617299742

About the Author

Dr Yong Cui is a scientist who has been working in the biomedicine field for over 15 years. His research is focused on developing mobile health apps for behavioural interventions and building research tools for biomedical researchers. Python is his go-to language for data analysis, machine learning, and research tool development. In his spare time, he likes to blog on a variety of technical topics, including mobile development, Python programming, and artificial intelligence.


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