Deep Dive Python
Divakaran, Adarsh
Produktnummer:
1869b5007378644dd1a31b1b451c822045
Autor: | Divakaran, Adarsh |
---|---|
Themengebiete: | Classes and object oriented programming Decorators Exceptions Logging Multithreading Python Tuples |
Veröffentlichungsdatum: | 26.09.2025 |
EAN: | 9798868812606 |
Sprache: | Englisch |
Seitenzahl: | 312 |
Produktart: | Kartoniert / Broschiert |
Verlag: | APRESS |
Untertitel: | Techniques and Best Practices for Developers |
Produktinformationen "Deep Dive Python"
Take your programming skills to the next level by expanding real-world Python applications in open-source code. This book is an essential guide for experienced developers looking to enhance their Python proficiency. Using code examples from popular open-source projects you’ll master Python concepts and see how they are applied in production-level code. By understanding code from established projects, you’ll develop a deeper appreciation for Python’s capabilities and learn best practices that have been battle-tested in the real world. You’ll gain the confidence to tackle complex projects, optimize your code, and implement advanced Python features effectively. You’ll also examine typing, generators, iterators, the itertools module, multithreading, multiprocessing, and asyncio. This will equip you to build production-ready Python programs and libraries. Whether you’re building large-scale applications, contributing to open-source projects, or solving intricate programming challenges, Deep Dive Python will provide you with the knowledge and practical experience to excel in your Python development journey. What You Will LearnMaster Python's core data structures and how to use them effectively.Implement decorators, descriptors, metaclasses, and abstract base classes in your codeEnhance your code with functional programming techniques using the functools moduleImprove iteration with generators, iterators, and the itertools moduleSelect the best Python concurrent programming models to use for optimal performanceApply best practices for code organization, packaging, and creating maintainable Python projects Who This Book Is For Experienced Python developers who want to expand their programming skils

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