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Python How-To you own this product

Yong Cui
  • MEAP began April 2022
  • Publication in Spring 2023 (estimated)
  • ISBN 9781617299742
  • 475 pages (estimated)
  • printed in black & white
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Look inside
Have you ever asked yourself, “How do I do that in Python?” If so, you’ll love this practical collection of the most important Python techniques.

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

Python How-To walks you through the most important coding techniques in Python. Whether you’re doing data science, building web applications, or writing admin scripts, you’ll 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. Along the way, you’ll 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’re going to run into situations where you ask “How do I do that?” This book gives you concrete answers to the most common questions in areas like manipulating text, working with collections, managing objects and functions, file management, and so on.

about the book

Python How-To is full of techniques and best practices for writing readable and maintainable Python code, with careful cross-referencing that reveals how the same concept can be used in different contexts. Each chapter stands alone, so you can dip in whenever you need a practical solution to a common Python problem.

about the reader

For beginning to intermediate Python programmers.

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 behavioral 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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