Many computational endeavors benefit from some form of parallelization, and SLURM provides a way to do “embarrassingly parallel” processing relatively simply (read more about parallelization).
Exploring data, one index at a time.
NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in ...