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

ISBN: B0FDGLZSWZ

ISBN13: 9798288086021

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

What You Will Learn in This BookUnderstand 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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