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.
According to the official documentation (https://docs.python.org/2/library/mul...
"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:
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