NumPy, the Python package for scientific computing, is an adolescent with prospects for a prolific maturity.

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.

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

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 ...

[Zoltán] sends in his very interesting implementation of a NumPy-like library for micropython called ulab. He had a project in MicroPython that needed a very fast FFT on a micro controller, and ...

With Python and NumPy getting lots of exposure lately, I'll show how to use those tools to build a simple feed-forward neural network.

The demo program is a bit too long to present in its entirety in this article, but the complete source code is available in the accompanying file download. I wrote the demo using the 3.6.5 version of ...