Modern Python Cookbook (3 ed)

Enhance your Python skills with the third edition of Modern Python Cookbook with 130+ new and updated recipes covering Python 3.12, including new coverage on graphics, visualizations, dependencies, virtual environments, and more.

Python is the go-to language for developers, engineers, data scientists, and hobbyists worldwide. Known for its versatility, Python can efficiently power applications, offering remarkable speed, safety, and scalability. This book distills Python into a collection of straightforward recipes, providing insights into specific language features within various contexts, making it an indispensable resource for mastering Python and using it to handle real-world use cases.

The third edition of Modern Python Cookbook provides an in-depth look into Python 3.12, offering more than 140 new and updated recipes that cater to both beginners and experienced developers. This edition introduces new chapters on documentation and style, data visualization with Matplotlib and Pyplot, and advanced dependency management techniques using tools like Poetry and Anaconda. With practical examples and detailed explanations, this cookbook helps developers solve real-world problems, optimize their code, and get up to date with the latest Python features.

What you will learn

• Master core Python data structures, algorithms, and design patterns.
• Implement object-oriented designs and functional programming features
• Use type matching and annotations to make more expressive programs.
• Create useful data visualizations with Matplotlib and Pyplot
• Manage project dependencies and virtual environments effectively.
• Follow best practices for code style and testing.
• Create clear and trustworthy documentation for your projects.

Table of Contents

1. Numbers, Strings, and Tuples
2. Statements and Syntax
3. Function Definitions
4. Built-In Data Structures Part 1: Lists and Sets
5. Built-In Data Structures Part 2: Dictionaries
6. User Inputs and Outputs
7. Basics of Classes and Objects
8. More Advanced Class Design
9. Functional Programming Features
10. Type Matching and Annotations
11. Input/Output, Physical Format, and Logical Layout
12. Graphics and Visualization with Jupyter Lab
13. Application Integration: Configuration
14. Application Integration: Combination
15. Testing
16. Dependencies and Virtual Environments
17. Documentation and Style