CodeStips

Code Maintenance

Python Method Naming Conventions

Object-Oriented Programming in Python

Learn Python method naming conventions: use snake_case, keep names clear and descriptive, avoid abbreviations, and include action verbs for readability and professionalism.

Python Module Dependency Management

Functions & Modules in Python

Python dependency management ensures your projects run smoothly by tracking external packages, avoiding errors like ModuleNotFoundError. Essential for sharing and collaboration.

Python Module Security Tips

Functions & Modules in Python

Secure Python projects by managing dependencies with virtual environments, vetting packages, and regular updates to prevent security risks.

Python OOP Best Practices for Large Projects

Object-Oriented Programming in Python

Master OOP best practices to keep large Python projects maintainable, scalable, and collaborative, avoiding messy spaghetti code.

Python Unit Testing for Classes

Object-Oriented Programming in Python

Learn how to write unit tests for Python classes to ensure code reliability, catch bugs early, and maintain clean, efficient development practices.

Testing and Debugging Cheat Sheet

Testing & Debugging

Learn to write and run tests with Python's unittest module, plus debugging techniques to ensure robust, reliable code and catch bugs early.

Testing Classes in Python

Testing & Debugging

Testing Python classes ensures correct initialization, method behavior, and predictable object interactions for reliable and maintainable code.

Testing Python Functions with Unit Tests

Functions & Modules in Python

Unit testing helps you verify Python functions work as expected, ensuring code reliability and saving debugging time.

Upgrading and Uninstalling Python Modules

Functions & Modules in Python

Learn how to efficiently upgrade or uninstall Python packages using pip, ensuring your development environment stays clean and up to date.

User-Friendly Exception Handling

Error Handling & Exceptions in Python

Learn how to handle Python exceptions with try/except blocks to create resilient, crash-proof, and user-friendly code.