Learn Python Testing & Best Practices: unittest, pytest, PEP8, Git, and Virtual Environments
Write reliable, maintainable Python code by learning unit testing, code formatting, version control with Git, and using virtual environments like venv and pipenv.
Objective:
Write high-quality Python code that is tested, consistent, version-controlled, and easy to maintain using testing frameworks, formatting standards, Git, and virtual environments.
Topics and Examples:
1. Unit Testing: unittest, pytest
Unit testing ensures your code works as expected.
Example (unittest):
Example (pytest):
2. Code Formatting: PEP8, Black
- PEP8: Python style guide for readable code
- Black: Automatic code formatter
Example (Black formatting):
3. Version Control with Git/GitHub
Version control helps track changes and collaborate on projects.
Basic Git Commands:
4. Virtual Environments: venv, pipenv
Virtual environments isolate project dependencies to avoid conflicts.
Using venv:
Using pipenv:
This section covers essential Python best practices, including unit testing with unittest/pytest, code formatting with PEP8 and Black, version control with Git/GitHub, and managing project dependencies using virtual environments like venv and pipenv.