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.

Osoby które kupowały "Modern Python Cookbook. 130+ updated recipes for modern Python 3.12 with new techniques and tools - Third Edition", wybierały także:

• Windows Media Center. Domowe centrum rozrywki 66,67 zÅ‚, (8,00 zÅ‚ -88%)
• Ruby on Rails. Ćwiczenia 18,75 zÅ‚, (3,00 zÅ‚ -84%)
• Przywództwo w Å›wiecie VUCA. Jak być skutecznym liderem w niepewnym Å›rodowisku 58,64 zÅ‚, (12,90 zÅ‚ -78%)
• Scrum. O zwinnym zarzÄ…dzaniu projektami. Wydanie II rozszerzone 58,64 zÅ‚, (12,90 zÅ‚ -78%)
• Od hierarchii do turkusu, czyli jak zarzÄ…dzać w XXI wieku 58,64 zÅ‚, (12,90 zÅ‚ -78%)

Spis treści

Modern Python Cookbook. 130+ updated recipes for modern Python 3.12 with new techniques and tools - Third Edition eBook -- spis treści

• 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