Want to get better performance with Python? Here's how to use NumPy to toe the 'invisible line' of data and memory transfers and optimize efficiency.

NumPy, the Python package for scientific computing, is an adolescent with prospects for a prolific maturity. Written by Tiernan Ray, Senior Contributing Writer Sept. 25, 2020 at 10:19 a.m. PT ...

And, all of NumPy’s operations take place outside the Python runtime, so they aren’t constrained by Python’s limitations. Using NumPy for array and matrix math in Python ...