return a0 * np.exp(-(x - b0) ** 2 / (2 * c0 ** 2))\ + a1 * np.exp(-(x - b1) ** 2 / (2 * c1 ** 2)) ...

[153Armstrong] did a short post on how easy it is to generate waveforms using Python. We agree it is simple, but actually, it isn’t so much Python per se, it is some pretty cool libraries (SciPy, in ...

The Python code examples from the SciPy and NumPy O'Reilly book are now on Github. These examples have been optimized to allow the user to execute the scripts with minimal setup. If you're interested ...

Python has many great advantages that leads to it being the programming language of choice for a large range of users. However, it is an inherently inefficient language and performing extensive ...

Matplotlib: A comprehensive library for creating static, animated, and interactive visualizations in Python. SciPy: Builds on NumPy and provides additional functionality for scientific and technical ...

Abstract: Python is a simple, dominant and well-organized interpreted language. Python is used to develop the very high performance scientific related application and it is used to develop an ...

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 ...