Deep Dive Python
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Deep Dive Python: Techniques and Best Practices for Developers

Deep Dive Python: Techniques and Best Practices for Developers


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About the Book

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 Learn 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  Who This Book Is For  Experienced Python developers who want to expand their programming skils

Table of Contents:
Chapter 1: Lists.- Chapter 2: Tuples.- Chapter 3: Set and Dictionary.- Chapter 4: Logging.- Chapter 5: Exceptions.- Chapter 6: Functions and Functools.- Chapter 7: Classes and Object Oriented Programming.- Chapter 8: Dunder Methods.- Chapter 9: Decorators.- Chapter 10: Metaclasses.- Chapter 11: Typing.- Chapter 12: Generators and iterators.- Chapter 13: Itertools.- Chapter 14: Multithreading.- Chapter 15: Multiprocessing.- Chapter 16: Asyncio.- Chapter 17: Data Serialization and Persistence.- Chapter 18: Context Managers and ​​Contextlib.- Chapter 19: Abstract Base Classes.- Chapter 20: Packaging.- Chapter 21: Dependency Management.

About the Author :
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.


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Product Details
  • ISBN-13: 9798868812606
  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Width: 178 mm
  • ISBN-10: 8868812606
  • Publisher Date: 20 Aug 2025
  • Height: 254 mm
  • No of Pages: 756
  • Sub Title: Techniques and Best Practices for Developers


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