What are some effective caching strategies in Python?

What are some effective caching strategies in Python?

There are several caching strategies in Python, including in-memory caching, file-based caching, and using external caching systems like Redis or Memcached. Each has its own use cases and benefits.

Can you explain in-memory caching and when to use it?

In-memory caching stores data in the RAM, allowing for fast access. It's ideal for frequently accessed data that doesn't require persistence, like session data.

What libraries can I use for caching in Python?

You can use libraries like functools.lru_cache for simple caching, or more advanced options like cachetools, diskcache, or Flask-Caching for web applications.

How does caching improve performance?

Caching reduces the time it takes to retrieve data by storing it closer to the application, minimizing the need for expensive database queries or computations.