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.

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

The basic idea is to create an array of samples in a buffer using some features of SciPy’s NumPy component. Most regular waveforms are easy to create using an algorithm.

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