CodeStips

Best Practices

Python Class Naming Conventions

Object-Oriented Programming in Python

Python class names follow the CapWords convention, ensuring code is readable, maintainable, and professional for teams and solo developers.

Python Comments vs Docstrings

Python for Beginners

Comments document code flow for developers, while docstrings describe functions and modules for users. Comments use #, docstrings use triple quotes.

Python Composition Best Practices

Object-Oriented Programming in Python

In Python, composition lets you build complex systems by combining objects instead of inheriting. This approach leads to more flexible, maintainable code. Learn when and how to use it effectively.

Python Composition vs Inheritance

Object-Oriented Programming in Python

Inheritance allows a new class to take on attributes and methods from an existing class, while composition builds objects by combining simpler ones.

Python Developer Job Description Explained

Career & Job Tips

Python developers write, test, and maintain code using Python. They build applications, manage data, and solve problems. This role requires both technical skills and teamwork.

Python Docstrings Best Practices

Python for Beginners

Learn how to write clear, structured Python docstrings to make your code more understandable and maintainable for yourself and others.

Python Encapsulation Best Practices

Object-Oriented Programming in Python

Encapsulation in Python bundles data and methods, restricting direct access to some components to improve code quality by controlling what is exposed or kept private.

Python Encapsulation Cheatsheet

Cheatsheets & Reference Guides

Learn encapsulation in Python: bundling data and methods in classes, using access modifiers like private and protected, and ensuring data integrity with getters and setters.

Python Error Handling in Functions

Functions & Modules in Python

Effective error handling in Python functions ensures robustness, user-friendliness, and easier debugging by anticipating and managing potential exceptions.

Python Function Performance Tips

Functions & Modules in Python

Speed up Python functions by choosing efficient data structures like sets over lists for faster code execution and better user experience.