Python Parallel Computing in 60 Seconds or less | multiprocessing | #Shorts

In this video #shorts i showed you how you can achieve or implement multiprocessing pool in Python. It drastically improves codes running time.
The only caveat is that the function you pass to map() must be picklable. That is, it must be possible to serialize the function using Python’s built-in pickle module, otherwise the map() call will fail.

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#python3​​ #multiprocessing​ #map​ #programming​ #algorithm​ #programmintips​ #pythontips​ #codingtips​