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Add parallelization lecture #719
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Much work still to be done here.
This should come after Numba and include a simple discussion of different kinds of parallelization (multiprocessing, multithreading, shared memory, etc.) and their implementation in Python.
Some discussion of the GIL.
Perhaps pull the
target=parallelvectorization example out of the numba lecture and add it here (but leaving some kind of teaser).Also, explain what's going on around that example.
Discuss
prangeand also implicit multithreading in numpy.