Acceleration of frequently accessed multi-dimensional values in Python using REDIS ★ Posted on February 03, 2019
In-memory database REDIS provides a simple interface for caching various data types. In addition, it supports simple manipulations with arrays and scalar values, including support for complex data constructs (like queues). What is, however not implemented, is the support of multi-dimensional objects. These objects are beneficial if you need to cache frequently used constants (or interim results) for computations (like matrices).