Sometimes, we want to parallelize a simple Python loop.
In this article, we’ll look at how to parallelize a simple Python loop.
How to parallelize a simple Python loop?
To parallelize a simple Python loop, we can use the multiprocessing module.
For instance, we write
pool = multiprocessing.Pool(4)
out1, out2, out3 = zip(*pool.map(calc_stuff, range(0, 10 * offset, offset)))
to create a thread pool with 4 threads with
pool = multiprocessing.Pool(4)
And then we call pool.map to run the calc_stuff function in each thread`.
Conclusion
To parallelize a simple Python loop, we can use the multiprocessing module.
