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.

It's possible to install Python and NumPy separately, however, if you're new to Python and NumPy I recommend installing the Anaconda distribution of Python which simplifies installation and gives you ...

[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 ...

pip uninstall numpy python -m pip install --upgrade pip pip install numpy Using the above commands in the given sequence, you will be able to install the latest version of NumPy.

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.