Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

A hybrid Kohn–Sham Density Functional Theory (KS-DFT) and 1-electron Reduced Density Matrix Functional Theory (1-RDMFT) has recently been developed to describe strongly correlated systems at ...

Among statistical methods used in data analysis processes, correlation analysis holds one of the most significant places. Using correlation, analysts measure prediction potential between values of a ...

Discover how nvmath-python leverages NVIDIA CUDA-X math libraries for high-performance matrix operations, optimizing deep learning tasks with epilog fusion, as detailed by Szymon Karpiński.

Weighted correlation in Python. Pandas based implementation of weighted Pearson and Spearman correlations. I thought it was strange that I couldn't easily find a way to get both these weighted ...

Path Analysis is a powerful technique to examine the relationships of cause and effect between several phenomena presented as variables. One of its major steps is the computation of the correlation ...