PythonCaching

Practical Python Caching Framework

1. Framework implements a Caching framework which can be used with the Python Projects
2. Implements in process (dict) and distributed (Redis) cache. In process cache can easily be replaced by more durable Functools LRU Cache
3. An environment variable "cache_type" can be set to "local / distributed" for invoking the relevant Cache
4. Default is local inprocess Cache
5. Install Required Libraries using requirements.txt
6. Run "python CacheMain.py" to mock the data generation and Caching operations
7. Framework provides options to Filter / Sort data
8. Framework provides the DML operations for in memory Update / Insert and Deletion of the Cached Data