Deep Dive Python: Techniques and Best Practices for Developers - Tapa blanda

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Adarsh Divakaran is a seasoned Python programmer with extensive experience in the Python ecosystem. He is the co-founder of Digievo Labs, which provides Python and software development consulting to global clients and works on building multiple SaaS products. Python serves as the foundation for his work, encompassing the development and integration of APIs, web applications, data scraping, data analysis, and a range of automation tasks. Adarsh has also been a speaker at various global technology conferences, including the GraphQL Summit, Pycascades, Europython, DjangoCon US, FlaskCon, and PiterPy.

De la contraportada

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. 

You will:

• Master Python's core data structures and how to use them effectively.
• Implement decorators, descriptors, metaclasses, and abstract base classes in your code
• Enhance your code with functional programming techniques using the functools module
• Improve iteration with generators, iterators, and the itertools module
• Select the best Python concurrent programming models to use for optimal performance
• Apply best practices for code organization, packaging, and creating maintainable Python projects