Memoization is a great technique for preventing repeated computation of the same expression. I find this persistent memoization useful when prototyping scripts that deal with web APIs that may be slow or rate-limited and require internet connectivity. This makes the edit-run-debug loop a lot snappier when dealing with those kinds of services with minimal footprint in your code - just wrap your expensive API request with the provided function decorator persist_memoize.

Pretty simple, just decorate any function as follows

from apicache import persist_memoize

@persist_memoize('foo.cache')
def foo(url):
    return process_api_response(url)