Gold winner of the 2023 IBPA Benjamin Franklin Award!
Cover von Python 3
Cover von Python 3
Cover von Python 3

Python 3 The Comprehensive Guide

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1036 Seiten, , broschiert
Rheinwerk Computing, ISBN 978-1-4932-2302-2
1036 Seiten,
E-Book-Formate: PDF, EPUB, Online
Rheinwerk Computing, ISBN 978-1-4932-2303-9

Ready to master Python? Learn to write effective code with this award-winning comprehensive guide, 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 using Django and working with GUIs. With plenty 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
  • Download and consult practical code examples
1.036 pp., paperback. Flexible reference book format 7 x 10 in., perfect-bound. Printed black and white on 60# offset paper from sustainable sources. Reader-friendly serif font (TheAntiquaB 9.5 Pt.). One-column layout.
E-book in full color. PDF, EPUB file 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.

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 your mathematical functions to debugging your 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
Komplettes Inhaltsverzeichnis
Johannes Ernesti is a 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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