19 ms·
This was born out of necessity as data comes from multiple systems and takes around 4 minutes per run. Now I can iterate in like 5 seconds Not something I see
by pcauthorn 5y ago
This was born out of necessity as data comes from multiple systems and takes around 4 minutes per run. Now I can iterate in like 5 seconds
Not something I seen, a decorator used only for development that is deployed in production.
Thoughts?
- dwrodri 5y agoInteresting project! I like the config file. The readme also has a good example. Can you go a bit more into detail as to why I would pick this over functional.lru_cache?
- pcauthorn 5y agoThanks for checking it out! Good question, this is slightly different than lru_cache in that it persists to disk so it retrieves from the cache even when you rerun the Python interpreter. Also it gives you a bit of flexibility as when to refresh the cache and to use or ignore function parameters. I often make a change in one 'group', db data for example, and am able to just refresh those methods that gather data from the db.