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The Pythonic Way: A Practical Guide to Best Practices, Clean Code, and Readability: Mastering Pythonic Code: Writing Clean, Idiomatic, and Efficient Code - Softcover

 
9798288086021: The Pythonic Way: A Practical Guide to Best Practices, Clean Code, and Readability: Mastering Pythonic Code: Writing Clean, Idiomatic, and Efficient Code

Synopsis

What You Will Learn in This Book

  • Understand and apply the "Pythonic" philosophy to write code that's not just functional but also elegant, readable, and easy to maintain, adhering to the principles of the Zen of Python.
  • Set up a professional Python development environment, mastering tools for version management, virtual environments, linters, formatters, and type checkers to ensure clean and robust code from the start.
  • Leverage Python's data model by understanding special ("dunder") methods and duck typing to create flexible, powerful, and idiomatic custom objects.
  • Write clean, readable, and well-documented code by mastering PEP 8 style guidelines, crafting effective functions, and implementing Pythonic control flow and exception handling.
  • Utilize Python's built-in data structures (lists, tuples, dictionaries, sets) effectively, including advanced techniques like comprehensions and choosing the right structure for various scenarios.
  • Master iteration and generate sequences efficiently using iterables, iterators, generator functions, and the powerful itertools module.
  • Enhance and modify functions and methods with decorators, understanding their practical applications for tasks like logging, caching, and authentication.
  • Apply Pythonic object-oriented programming (OOP) principles, including inheritance, composition, properties, and data classes, to design well-structured and maintainable applications.
  • Optimize your Python code for performance and memory efficiency by understanding the GIL, profiling bottlenecks, and applying advanced techniques like caching and algorithmic improvements.
  • Develop robust and reliable software by writing effective unit, integration, and end-to-end tests using pytest and unittest, along with strategies for testable code and mocking.
  • Document, package, and distribute your Python projects effectively, enabling collaboration and sharing your work with the broader Python community.
  • Cultivate a mindset of continuous improvement in your Python journey, learning from others, staying updated, and contributing to the vibrant Python ecosystem.

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