Learn how this popular Python library accelerates math at scale, especially when paired with tools like Cython and Numba.

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.

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 ...

As part of the Python Tools for Visual Studio project the well-known NumPy and SciPy libraries were ported to .NET. The port, which combines C# and C interfaces over a native C core, was done in ...

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.

[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 ...