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 ...

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 with ...

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 ...

Intel has been quietly offering pre-release access to its distribution of the Python language, which is outfitted with the Intel Math Kernel Library (MKL) for accelerated computational performance on ...

I'm currently teaching myself Python along with a friend's guidance. I'm working with this book as my guide, but it doesn't have any practice problems I can use to reinforce the lessons in each ...

For all of the recent strides we’ve made in the math world—like a supercomputer finally solving the Sum of Three Cubes problem that puzzled mathematicians for 65 years—we’re forever crunching ...

Python often gets a bad rap in terms of performance. Critics often move the goal posts mid-discussion, either unintentionally or simply to get a rise out of Python developers. Here's a typical ...

Students often struggle to connect math with the real world. Word problems—a combination of words, numbers, and mathematical operations—can be a perfect vehicle to take abstract numbers off the page.