Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

We present a numerical implementation of the recently developed unconditionally convergent representation of general Heun functions as integral series. We produce two codes in Python available for ...

Many efforts have been made during the past decades to investigate the use of orthogonal basis functions in the field of least-squares approximation. Certain bases of orthogonal functions allow for a ...

The problem of Taylor's series is therefore to deduce from a knowledge of the coefficients the behaviour of the function.

Darts is Python library that aims to be the scikit-learn for time series analysis. By providing a unified and consistent API, Darts simplifies the end-to-end process of working with time series data.

Time-lagged regression using temporal response functions (TRFs) has recently emerged as a promising tool for disentangling electrophysiological brain responses related to such complex models of ...

This manuscript introduces a series of Python functions that will enable the scientific community to download, load, and visualize charged particle measurements of the current space missions that are ...

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks.

Python based program to visualize the Fibonacci series and golden ratio. Uses numpy and pyplot from matplotlib. Functions that end in 'plot' are the ones that generate the plots but do not perform any ...