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

Important Modules The base functionality of Python is fairly limited, luckily external packages can be imported to help fit your needs. The following packages are the most commonly used by our group ...

[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 ...

Unlike R, Python has no clear “winning” IDE. We recommend Spyder because it is well-designed for scientific computing and the popular packages associated with this type of work (NumPy, SciPy, pandas, ...