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

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

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

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.

Functions compiled with Numba can be specified with a decorator, and Numba works hand-in-hand with NumPy to accelerate the functions found.

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.