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.

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

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 ...

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