Libraries are collections of shared code. They're common in Python, where they're also called "modules," but they're also ...

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.

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

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.

Data scientist Dr. James McCaffrey begins a series on presenting and explaining the most common modern techniques used for neural networks, for which over the past couple of years there have been many ...

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 ...

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

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