How NumPy speeds array math in Python A big part of NumPy’s speed comes from using machine-native datatypes, instead of Python’s object types.

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.

Not only can this documentation be used for his library, but it provides many excellent examples of how to use MicroPython itself. We really recommend that fans of Python and NumPy give this one a ...

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 ...

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

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

In this article I'll explain how to implement a simple feed-forward neural network from scratch, using just Python 3.x and NumPy. After reading this article you should have a solid grasp of neural ...