Even if you find writing Python code easy, writing code that is efficient, maintainable, and reusable is not so straightforward. Many of Python's capabilities are underutilized even by more experienced programmers. Mastering Python, Second Edition, is an authoritative guide to understanding advanced Python programming so you can write the highest quality code. This new edition has been extensively revised and updated with exercises, four new chapters and updates up to Python 3.10.

Revisit important basics, including Pythonic style and syntax and functional programming. Avoid common mistakes made by programmers of all experience levels. Make smart decisions about the best testing and debugging tools to use, optimize your code's performance across multiple machines and Python versions, and deploy often-forgotten Python features to your advantage. Get fully up to speed with asyncio and stretch the language even further by accessing C functions with simple Python calls. Finally, turn your new-and-improved code into packages and share them with the wider Python community.

If you are a Python programmer wanting to improve your code quality and readability, this Python book will make you confident in writing high-quality scripts and taking on bigger challenges

Osoby które kupowały "Mastering Python - Second 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

Mastering Python. Write powerful and efficient code using the full range of Python’s capabilities - Second Edition eBook -- spis treÅ›ci

• 1. Getting Started – One Environment per Project
• 2. Interactive Python Interpreters
• 3. Pythonic Syntax and Common Pitfalls
• 4. Pythonic Design Patterns
• 5. Functional Programming – Readability Versus Brevity
• 6. Decorators – Enabling Code Reuse by Decorating
• 7. Generators and Coroutines – Infinity, One Step at a Time
• 8. Metaclasses – Making Classes (Not Instances) Smarter
• 9. Documentation – How to Use Sphinx and reStructuredText
• 10. Testing and Logging – Preparing for Bugs
• 11. Debugging – Solving the Bugs
• 12. Performance – Tracking and Reducing Your Memory and CPU Usage
• 13. asyncio – Multithreading without Threads
• 14. Multiprocessing – When a Single CPU Core Is Not Enough
• 15. Scientific Python and Plotting
• 16. Artificial Intelligence
• 17. Extensions in C/C++, System Calls, and C/C++ Libraries
• 18. Packaging – Creating Your Own Libraries or Applications