A must-have for anyone learning Python!

Python 3 The Comprehensive Guide

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Print edition E-book Bundle
1040 pages, 2nd, updated and revised edition , Print edition paperback
ISBN 978-1-4932-2800-3
1040 pages, 2nd, updated and revised edition
E-book formats: EPUB, PDF, online
ISBN 978-1-4932-2801-0
1040 pages, 2nd, updated and revised edition , Print edition paperback
E-book formats: EPUB, PDF, online
ISBN 978-1-4932-2802-7
Ready to master Python? In this updated edition of the prize-winning Python reference, learn to write effective code, whether you’re a beginner or a professional programmer. Review core Python concepts, including functions, modularization, and object orientation, and walk through the available data types. Then dive into more advanced topics, such as exception handling, static type checking, and regular expressions. With mountains of code examples throughout, this hands-on reference guide has everything you need to become proficient in Python!
  • The complete Python 3 handbook
  • Learn basic Python principles and work with functions, methods, data types, and more
  • Walk through GUIs, network programming, debugging, optimization, and other advanced topics
About the E-book About the Book E-book in full color. PDF and EPUB files for download, DRM-free with personalized digital watermark. Copy and paste, bookmarks, and print-out permitted. Table of contents, in-text references, and index fully linked. Including online book edition in dedicated reader application. 1040 pages, paperback. Including practical code examples. Reference book format 7 x 10 in. Printed black and white on 60# offset paper from sustainable sources. Reader-friendly serif font (TheAntiquaB 9.5 Pt.). One-column layout.

In this book, you'll learn about:

  1. Coding with Python

    Learn about Python syntax and structure! Follow examples to start developing and testing your own programs using downloadable code.

  2. The Standard Library

    Explore Python’s built-in library and see how it can be used for a variety of different tasks, from running mathematical functions to debugging code.

  3. Advanced Programming Techniques

    Already know the basics? Enhance your professional skills with more advanced concepts, including GUIs, Django, scientific computing, and connecting to other languages.

Highlights include:

  • Functions
  • Methods
  • Attributes
  • Data types
  • GUIs
  • Debugging
  • Network communication
  • Modularization
  • Object orientation
  • Iterators
  • Generators
  • Exception handling

Johannes Ernesti is research scientist at DeepL. He is a graduate mathematician and received his doctorate in applied mathematics from the Karlsruhe Institute of Technology (KIT).

Peter Kaiser is a research scientist at DeepL. He has a degree in computer science and received a doctorate in humanoid robotics from the Karlsruhe Institute of Technology (KIT).

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