So x² in Python is written as x**2. Polynomials of higher degrees, such as cubic (cubed) and quartic (raised to the fourth power), work similarly. An alternative to using NumPy is SymPy ...

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 ...

[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 ...

As accomplished as NumPy is in the Python programming world, there are clues in the paper that its future may be even more significant. NumPy has the prospect of becoming an important piece of ...

First released fifteen years ago, SymPy is an open source library for symbolic computation and helps Python developers implement ... and the original author of NumPy library.

What is NumPy? NumPy is a fundamental package for scientific computing, widely used by Python developers. Underneath the Python API, it performs computations in C or Fortran to help speed up Python.

So in this article, I take a look at SymPy, the Python module that allows you to do symbolic mathematics, and specifically at a utility named GraviPy that is built upon SymPy. With this utility, you ...