May 2018
Intermediate to advanced
380 pages
9h 37m
English
Content preview from Secret Recipes of the Python Ninja
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One thing to note about multiprocessing.pool(): if you don't provide an integer argument to specify the number of workers in the pool, the program will default to all the CPUs available in your system. If you have a dual-core system, you'll get two workers. Have a monster of a system with 48 cores, then you get 48 workers.
When it comes to cores, if you have Intel CPUs with hyper-threading, each individual CPU counts as two when it comes to multiprocessing. So, if you plan on writing a lot of parallelized software, it may be better to spend the extra money and maximize the number of hyper-threaded CPUs you can get.
The map() function is a function that applies another function over a sequence, typically a list. It takes a ...
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