Caching

Django Caching Techniques

Django Framework

Learn how Django caching improves performance by reducing database load and speeding up response times. Explore techniques from per-view to advanced low-level caching.

Django Performance Optimization Tips

Django Framework

Optimize Django apps by improving database queries with select_related, reducing redundant lookups, caching results, and using indexes to enhance performance and user experience.

Django Signals Introduction

Django Framework

Django signals help decouple application logic by allowing automatic responses to events, like user sign-ups or model saves, without cluttering views.

Python functools lru_cache Explained

Python Standard Libraries

Improve performance with Python's lru_cache decorator, which stores function results to avoid redundant expensive calculations for repeated calls.

Redis Integration for Caching

Libraries & Frameworks

Boost Python app performance and scalability with Redis caching. Learn how this in-memory data store reduces load times and database queries for faster, more efficient applications.

Using Caching for Performance

Best Practices & Optimization

Boost Python app performance by caching results of expensive computations to reduce execution time and improve responsiveness. Simple to advanced techniques.

Using Redis or Memcached Effectively

Best Practices & Optimization

Redis and Memcached are both fast in-memory data stores used to improve app performance. Redis offers more data structures and persistence, while Memcached is simpler and ideal for basic caching.