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

JetBrains has detailed its eighth annual Python Developers Survey. This survey is conducted as a collaborative effort between the Python Software Foundation and JetBrains’ PyCharm team.

Aspiring data-science and machine-learning developers now have more Microsoft-made free video tutorials to learn how to build software in Python, one of today's most popular and versatile ...

NumPy NumPy is another popular Python library that supports large, multi-dimensional arrays and matrices. It also includes several routines for linear algebra, Fourier transform, and random number ...

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

Learn how this popular Python library accelerates math at scale, especially when paired with tools like Cython and Numba.

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, ...

[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 ...