Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more.

Take advantage of the high-level async functions in Python’s asyncio library to write more efficient Python applications.

Python recently celebrated its 30th birthday, and pioneers of the language have been reflecting on its significance as an open source project.

A team of computer scientists recently unveiled a prize-winning Python profiler called Scalene. Programs written with Python are notoriously slow -- up to 60,000 times slower than code written in ...

This post explains how to use classes in Python. Including: how to use static and private methods, constructors, and more!

This post explains what a Python module is and how to use it to drastically extend the capabiltiies of your code. Plus: how to make your own!

Python is among the fastest-growing and most popular programming languages out there today. Here are a few ways to use the coding language across industries.

An alternative to using NumPy is SymPy, a computer algebra library for Python. SymPy operates on symbols the way a numeric calculator or regular Python program works on numbers.

The Python programming language is a hit for data science and machine-learning projects on high-powered hardware, but one of its weaknesses is speed. Anaconda, a company that provides a leading ...

Programming languages: Python developers reveal what they use it for and their top tools New global survey shows that Python developers love machine learning, but just don't call them data scientists.