Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and SciPy, but as a general programming language.

There are many ways to boost Python application performance. Here are 10 hard-core coding tips for faster Python.

Grok the faster interpreter in Python 3.14, learn what’s new in Python packages and PyPI, explore the new Python-to-C features in Cython 3.1, and seize the power of Python’s abstract base classes.

The world of backend engineering is changing fast, and two big trends are coming together: serverless computing and artificial intelligence. This combination is creating amazing opportunities for ...

The choice of programming language matters, and most candidates I’ve interviewed who can code only in C, C++, or Java put themselves at a competitive disadvantage relative to those who use Ruby ...