GitHub / python-supply / map-reduce-and-multiprocessing
Multiprocessing can be an effective way to speed up a time-consuming workflow via parallelization. This article illustrates how multiprocessing can be utilized in a concise way when implementing MapReduce-like workflows.
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License: mit
Language: Jupyter Notebook
Size: 166 KB
Dependencies parsed at: Pending
Created at: over 5 years ago
Updated at: over 2 years ago
Pushed at: over 4 years ago
Last synced at: about 2 years ago
Topics: map-reduce, mapreduce-python, multiprocessing, parallel-python, python, python-articles, python-introduction, python-multiprocessing