djangoproject

https://realpython.com/blog/python/caching-in-django-with-redis/ Caching in #Django With #Redis Application performance is vital to the success of your product. In an environment where users expect website response times of less than a second, the consequences of a slow application can be measured in dollars and cents. Even if you are not selling anything, fast page loads improve the experience of visiting your site. Everything that happens on the server between the moment it receives a request to the moment it returns a response increases the amount of time it takes to load a page. As a general rule of thumb, the more processing you can eliminate on the server, the faster your application will perform. Caching data after it has been processed and then serving it from the #cache the next time it is requested is one way to relieve stress on the server. In this tutorial, we will explore some of the factors that bog down your application, and we will demonstrate how to implement caching with Redis to counteract their effects.

https://pypi.python.org/pypi/python-memcached This software is a 100% Python interface to the #memcached#memory#cache daemon. It is the #client side software which allows storing values in one or more, possibly remote, memcached servers. Search google for memcached for more information.