Python 3: The Comprehensive Guide to Hands-On Python Programming (Rheinwerk Computing)

Johannes Ernesti; Peter Kaiser

ISBN 10: 149322302X / ISBN 13: 9781493223022

Published by Rheinwerk Computing, 2022

About this Item

Fairly worn, but readable and intact. If applicable: Dust jacket, disc or access code may not be included.

Seller Inventory # GICWV.149322302X.A

Bibliographic Details

• Title: Python 3: The Comprehensive Guide to Hands-On Python Programming (Rheinwerk Computing)
• Publisher: Rheinwerk Computing
• Publication Date: 2022
• Language: English
• ISBN 10: 149322302X
• ISBN 13: 9781493223022
• Binding: Soft cover
• Condition: acceptable

About this title

Synopsis

2023 IBPA Benjamin Franklin Award Gold Winner: Professional and Technical Category

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
• Consult and download practical code examples

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

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.

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.

About the Author

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 Kaiseris 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).