Pandacache is a Python package that provides various caching mechanisms to efficiently store and retrieve data in your Python applications.
This module provides a lot of cache implementation with Python and AI.
FIFO(First In, First Out) Cache
LIFO(Last In, First Out) Cache
LRU(Least Recently Used) Cache
LFU(Least Frequently Used) Cache
MRU(Most Recently Used) Cache
RR(Round Robin) Cache
LRU Cache
from pandacache import LRUCache
cache = LRUCache(2)
# Put some key-value pairs into the cache
cache.put(1, 1)
cache.put(2, 2)
# Retrieve and print the value associated with key 1
print(cache.get(1)) # Output: 1
# Put another key-value pair into the cache, which should evict key 2
cache.put(3, 3)
# Try to retrieve key 2, which should not be found in the cache
print(cache.get(2)) # Output: -1 (Key not found)RR Cache
# Create a Round Robin Cache with capacity of 3
cache = RRCache(3)
# Add items to the cache
cache.put("A")
cache.put("B")
cache.put("C")
# Retrieve items from the cache
print(cache.get()) # Output: A
print(cache.get()) # Output: B
# Add more items to the cache
cache.put("D")
cache.put("E")
# Retrieve items again
print(cache.get()) # Output: C
print(cache.get()) # Output: D
print(cache.get()) # Output: EInstall with pip: (You can install pandacache via pip)
pip install pandacache
Install local
python setup.py sdist
- cachetools: The project structure learn from it