Python decorator to parallelize any function

Python decorator to parallelize any function

Today we are going to write a python decorator which exactly does these automatically for you, so that you can concentrate more on the logics of your code than worrying about multi-threading issues.

Wouldn’t it be cool if you can speed up your program by just adding a decorator to the function? Wouldn’t it be cool if you don’t have to worry about running the data in a list as a parallelly?

Today we are going to write a python decorator which exactly does these automatically for you, so that you can concentrate more on the logics of your code than worrying about multi-threading issues.

Some basics on python multi-threading before we start.

  1. The best place to implement it is where the function that we are trying to parallelize is IO heavy *(the sleep time is pretty significant for the thread). Some examples are *API calls, DB calls, Opening a file, Waiting for a stream of data, downloading a file from the internet.
  2. It is a general practice to keep the number of threads spawned equal to the number of CPUs **available in the system. (Important: It is just a standard, **not a mandate. Will explain how we can go more than equal number of threads and extract more out of our system)

multithreading python multitasking decorators optimization

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