Python Best Practices: Learn to Write Clean Python Code

Overview

Learn to write Clean Python Code following the Official Python Style Guide and Python Best Practices. Expand your skills with engaging video lectures, diagrams, quizzes, articles, and additional resources.

Syllabus

• Introduction to Clean Code
Overview of Python Style Guide (PEP 8)
Importance of Clean Code and Best Practices
• Python Basics Refresher
Core Python Syntax
Data Types and Data Structures
• Writing Readable Code
Naming Conventions for Variables, Functions, and Classes
Code Layout and Indentation
• Documentation and Comments
Writing Inline Comments
Creating Effective Docstrings
Tools for Documentation: Sphinx, reStructuredText
• Error Handling
Best Practices for Exceptions
Using try, except, else, and finally Blocks
• Code Organization and Structuring
Organizing Code into Modules and Packages
Understanding and Implementing Imports
Using __init__.py
• Efficient Use of Python Data Structures
List and Dictionary Comprehensions
Using Sets and Tuples
Optimizing with Collections Module
• Functions and Functional Programming
Writing Clean and Concise Functions
Understanding Lambdas and Higher-order Functions
Use of map(), filter(), and reduce()
• Object-Oriented Programming Best Practices
Writing Clear Class Definitions
Proper Use of Inheritance and Composition
Encapsulation and Data Hiding
• Working with External Libraries
Using Virtual Environments
Managing Dependencies with pip and requirements.txt
• Testing and Debugging
Writing Unit Tests with unittest and pytest
Debugging Techniques and Tools
• Version Control with Git
Basics of Git and GitHub
Writing Meaningful Commit Messages
• Continuous Integration and Deployment (Optional Advanced Topic)
Setting Up CI/CD with GitHub Actions
• Conclusion and Additional Resources
Summary of Key Points
Recommended Further Reading and Resources
Practice Exercises and Quizzes

Taught by

Estefania Cassingena Navone

Subjects

Programming