Clean Python: elegant coding in Python

✍ Scribed by Kapil, Sunil

• Publisher: Apress
• Year: 2019
• Tongue: English
• Category: Library

✦ Synopsis

Discover the right way to code in Python. This book provides the tips and techniques you need to produce cleaner, error-free, and eloquent Python projects.

Your journey to better code starts with understanding the importance of formatting and documenting your code for maximum readability, utilizing built-in data structures and Python dictionary for improved maintainability, and working with modules and meta-classes to effectively organize your code. You will then dive deep into the new features of the Python language and learn how to effectively utilize them. Next, you will decode key concepts such as asynchronous programming, Python data types, type hinting, and path handling. Learn tips to debug and conduct unit and integration tests in your Python code to ensure your code is ready for production. The final leg of your learning journey equips you with essential tools for version management, managing live code, and intelligent code completion.

After reading and using this book, you will be proficient in writing clean Python code and successfully apply these principles to your own Python projects.




What You'll Learn




Use the right expressions and statements in your Python code
Create and assess Python Dictionary
Work with advanced data structures in Python
Write better modules, classes, functions, and metaclasses
Start writing asynchronous Python immediately
Discover new features in Python












Who This Book Is For

Readers with a basic Python programming knowledge who want to improve their Python programming skills by learning right way to code in Python.

✦ Table of Contents

Chapter 1: Thinking Python --
Chapter 2: Data Structures --
Chapter 3: Writing Better Functions and Classes --
Chapter 4: Working with Modules and Meta-classes --
Chapter 5: Decorators and Context Managers --
Chapter 6: Generators and Iterators --
Chapter 7: Utilize New Python Features --
Chapter 8: Debugging and Testing Python Code --
Appendix: Some Awesome Tools.