CodeStips

Data Structures

Python Copying Objects: Shallow vs Deep Copy

Object-Oriented Programming in Python

In Python, copying objects is nuanced; assignment creates references, not copies. Shallow copies share nested objects, while deep copies clone everything, avoiding unintended side effects.

Python Data Analysis Cheatsheet

Cheatsheets & Reference Guides

Master the essentials of Python data analysis with this guide to key libraries like pandas, NumPy, and Matplotlib. Learn workflows and functions for efficient data handling and visualization.

Python Dataclasses vs Regular Classes

Object-Oriented Programming in Python

Regular classes require manual boilerplate code; dataclasses reduce redundancy with decorators. Use dataclasses for simple data storage and regular classes for complex behaviors.

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 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.

Python Interview Questions for Beginners

Career & Job Tips

Get ready for your first Python interview. This guide covers fundamental concepts with explanations and examples to boost your confidence and understanding.

Python Numbers and Math Cheatsheet

Cheatsheets & Reference Guides

Learn essential number types, math operations, and built-in functions in Python to strengthen your programming skills and handle numeric data effectively.

Python Set Comprehensions Reference

Cheatsheets & Reference Guides

Learn how to create sets in Python efficiently using concise and readable set comprehensions, improving code quality and Pythonic style.

Removing Items from Dictionaries

Basics of Python

Learn various methods to remove items from dictionaries in Python, including del, pop(), and popitem(), to efficiently manage data and optimize memory usage.

Sorting Data Efficiently

Best Practices & Optimization

Learn efficient sorting techniques in Python using built-in methods and custom sorting for better code performance and clarity.