Clean Code in Python: Develop Maintainable and Efficient Code, 2nd Edition

References -- Chapter 3: General Traits of Good Code -- Design by contract -- Preconditions -- Postconditions -- Pythonic contracts -- Design by contract - conclusions -- Defensive programming -- Error handling -- Value substitution -- Exception handling -- Using assertions in Python -- Separation of concerns -- Cohesion and coupling -- Acronyms to live by -- DRY/OAOO -- YAGNI -- KIS -- EAFP/LBYL -- Inheritance in Python -- When inheritance is a good decision -- Anti-patterns for inheritance -- Multiple inheritance in Python -- Method Resolution Order (MRO) -- Mixins.

This Python coding book will help you understand the problems that arise due to inefficient code, demonstrating to you how to correct them.

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How small should an interface be?

Cover -- Copyright -- Packt Page -- Contributors -- Table of Contents -- Preface -- Chapter 1: Introduction, Code Formatting, and Tools -- Introduction -- The meaning of clean code -- The importance of having clean code -- Some exceptions -- Code formatting -- Adhering to a coding style guide on your project -- Documentation -- Code comments -- Docstrings -- Annotations -- Do annotations replace docstrings? -- Tooling -- Checking type consistency -- Generic validations in code -- Automatic formatting -- Setup for automatic checks -- Summary -- References -- Chapter 2: Pythonic Code

Indexes and slices -- Creating your own sequences -- Context managers -- Implementing context managers -- Comprehensions and assignment expressions -- Properties, attributes, and different types of methods for objects -- Underscores in Python -- Properties -- Creating classes with a more compact syntax -- Iterable objects -- Creating iterable objects -- Creating sequences -- Container objects -- Dynamic attributes for objects -- Callable objects -- Summary of magic methods -- Caveats in Python -- Mutable default arguments -- Extending built-in types -- A brief introduction to asynchronous code

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