These are my go-to libraries for Python data crunching.

Abstract: Computing derivatives of noisy measurement data is ubiquitous in the physical, engineering, and biological sciences, and it is often a critical step in developing dynamic models or designing ...

Abstract: As the most prevalent internal transformer faults, interturn short-circuit (ITSC) faults can lead to destructive accidents if not cleared in time. To analyze and prevent ITSC faults, it is ...

University of Birmingham experts have created open-source computer software that helps scientists understand how fast-moving particles behave when they interact with electromagnetic waves in space.

Learn how to calculate the area under curves numerically using Python in this step-by-step tutorial! This video covers essential numerical integration techniques, including the trapezoidal and Simpson ...

Numerov’s numerical method is developed in a didactic way by using Python in its Jupyter Notebook version 6.0.3 for three different quantum physical systems: the hydrogen atom, a molecule governed by ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

A high-performance Python package implementing the Quasi-Steady State (QSS) method for solving stiff ordinary differential equations, with particular focus on combustion chemistry applications. This ...

This set of tutorials are written at an introductory level for an engineering or physical sciences major. It is ideal for someone who has completed college level courses in linear algebra, calculus ...

Python remains the leading AI programming language in 2025 due to its simplicity, extensive libraries, and strong community support. R, Julia, Java, and C++ are also popular for AI, each excelling in ...

Operator learning is a transformative approach in scientific computing. It focuses on developing models that map functions to other functions, an essential aspect of solving partial differential ...