Cache with async power
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Updated
Jun 3, 2024 - Python
Cache with async power
Python Multi-Process Execution Pool: concurrent asynchronous execution pool with custom resource constraints (memory, timeouts, affinity, CPU cores and caching), load balancing and profiling capabilities of the external apps on NUMA architecture
📚Learn how to design large-scale systems.✍️Prep for the system design interview😎. Includes Anki flashcards.✨
A GitHub Action to purge Cloudflare's cache of your site
A django Middleware that will help to set cache-control header on the views.
Middleware that disables caching headers during development in Django.
Cache design with multi-threding and Aync-Await
Like @functools.cache / @functools.lru_cache but with non-hashable objects
A cache clearer small application to clear cache, and empty recycling bin Etc.
This is a REST API developed using Python Django Rest Framework to fetch meta data by scraping data based on the metar code provided from the UI. Using redis to store cache for fast loading and fetching data for same code from cache instead of scraping again.
Simple async cache with high performance. Easy to use & ready for production.
A comprehensive collection of cache eviction policies implemented in python, providing practical examples for Least Recently Used (LRU), Least Frequently Used (LFU), and other strategies to optimize data caching in your applications.
Simulation of working of a cache.
Python wrapper for VirusTotal URL API, including a CLI utility
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