It's a common joke that Python makes a great calculator in its interactive mode. You can make it an even better one with the built-in math module, which contains a lot of the same math functions you ...

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...

Many programming languages include libraries to do more complicated math. You can do statistics, numerical analysis or handle big numbers. One topic many programming languages have difficulty with is ...

It started with a lab experiment for my daughter's class. The assignment was to take 200 pennies and put them in a shoe box. Shake up the box and then open it and remove all the pennies with "heads" ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...

Spiffy and convenient as Python is, most everyone who uses the language knows it’s comparatively creaky—orders of magnitude slower than C, Java, or JavaScript for CPU-intensive work. But several ...

Programming computers used to be harder. Don’t get us wrong — today, people tend to solve harder problems with computers, but the fundamental act of programming is easier. We have high-level languages ...

This is a crash course for Python. We'll quickly go through the basic data types of Python (strings, lists, sets, dictionaries), and cover conditionals and loops (if-else, while loops, for). We'll end ...

These pages provide a showcase of how to use Python to do computations from linear algebra. We will demonstrate both the NumPy (SciPy) and SymPy packages. This is meant to be a companion guide to a ...