Multiprocessing in Python: Logging

In this video, we will be continuing our treatment of the multiprocessing module in Python. Specifically, we will be seeing how to use the logging module along with built-in logging methods from the multiprocessing module to output information that may be of interest when running your own multiprocessing code.

"multiprocessing is a package that supports spawning processes using an API similar to the threading module. The multiprocessing package offers both local and remote concurrency, effectively side-stepping the Global Interpreter Lock by using subprocesses instead of threads. Due to this, the multiprocessing module allows the programmer to fully leverage multiple processors on a given machine. It runs on both Unix and Windows."

Software from this video:

For more videos on multiprocessing:

Do you like the development environment I'm using in this video? It's a customized version of vim that's enhanced for Python development. If you want to see how I set up my vim, I have a series on this here:

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[sudarsandm]

Please do a video series on Design patterns involving Python. That would be of great help.

[scienceblossom]

This is great tutorial. Thanks. But I had to go through a whole tutorial to realize what logging does, lol. :) As far as I could understand, the logging in this video is specific to multiprocessing. But I'm not sure how it's really doing the "logging" since I don't see any logger.info(msg) or logger.error(msg) or etc.