CodeStips

Code efficiency

Adding and Removing Set Elements

Adding and Removing Set Elements

Basics of Python

Learn to add and remove elements in Python sets using methods like add(), remove(), and discard() to efficiently manage unique collections.

Avoiding N+1 Queries in Django

Avoiding N+1 Queries in Django

Django Framework

Learn how to detect, fix, and prevent N+1 queries in Django to optimize database performance and avoid hidden slowdowns in your applications.

Avoiding Over-Commenting

Avoiding Over-Commenting

Best Practices & Optimization

Over-commenting can clutter code, making it harder to read. This article explores how to balance comments for clean, expressive, and well-documented Python code.

Choosing Between Python 3.11, 3.12, and 3.13

Choosing Between Python 3.11, 3.12, and 3.13

Installation & Setup

Python 3.11, 3.12, and 3.13 each offer unique improvements, making the upgrade decision depend on your project needs. This guide compares key features to help you choose the right version.

How to Install Python on Linux Debian

How to Install Python on Linux Debian

Installation & Setup

Installing Python on Debian is simple with APT for a stable version, pyenv for version management, or building from source for customization. Choose your preferred method to get started with Python development.

How to Verify pip Package Installation

How to Verify pip Package Installation

Installation & Setup

Learn several reliable methods to verify pip package installation in Python, ensuring your environment is correctly set up and avoiding potential issues during development.

Identifying Bottlenecks in Python Code

Identifying Bottlenecks in Python Code

Testing & Debugging

Learn to identify and fix Python performance bottlenecks to speed up your code and improve efficiency.

Optimizing JSON Handling

Optimizing JSON Handling

Best Practices & Optimization

Optimize Python JSON handling for better performance and memory efficiency in data-heavy applications.

Optimizing List Operations

Optimizing List Operations

Best Practices & Optimization

Optimize Python lists by understanding their internals, using efficient methods like list comprehensions and built-in functions, and choosing the right data structures for better performance.

Optimizing Loops in Python

Optimizing Loops in Python

Best Practices & Optimization

Optimize Python loops for better performance with efficient iteration techniques over large datasets and complex calculations. Improve code speed and resource usage.