Lots of tips and tricks available on the NumPY Web site, which is well worth a look, especially as you start out. This short introduction should get you started in thinking of Python as a viable ...

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

In my last article, I looked at NumPY and some of its uses in numerical simulations. Although NumPY does provide some really robust building blocks, it is a bit lacking in more sophisticated tools.

[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 ...

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.

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.

The annual Python Developers Survey shows a programming environment in transition. Data science accounts for more than half ...

The focus of the course is on working with Python to analyse financial markets. The course begins with an introduction to Python and the general syntax of the language. We then move on to (i) working ...