I am currently writing some custom Django commands for data updation, my workflow is like
Query
PostgreSQL and do an upsert behavior.
I am using pandas data frame to hold my data during processing.
The host we are using to run this jobs has a
CPython interpreter as given by
`platform.python_implementation()`
I want to confirm whether
multithreading would be a better choice here, given the fact that GIL is the biggest blocker(I agree it has to be there) for the same in CPython interpreters.
In case further information is required do let me know.
Thanks
onlinejudge95