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01_python_introduction

Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you won’t face any difficulty understanding these tutorials.

athena-cversion

beginning-mathematica-wolfram-data-science

Source Code for 'Beginning Mathematica and Wolfram for Data Science' by Jalil Villalobos Alva

blacklight

GR ray tracing code for post-processing Athena++ simulations

charged-black-hole-perturbation

Linearised Einstein-Maxwell equations solved around the Reissner-Nordstrom background.

corner.py

Make some beautiful corner plots

cpsc340

UBC CPSC 340: Machine Learning and Data Mining (2016W2)

duffing_oscillator_sd

Python code and thorough documentation on solving the Duffing oscillator; a highly non-linear, extremely customizable oscillator. It was done using an implicit trapezoidal scheme and Newton-Raphson method to resolve the non-linearities. This project was completed in 2017.

duffingoscillator_mathematicasd

Interactive document which reveals Duffing Oscillator properties

eht-imaging

Imaging, analysis, and simulation software for radio interferometry

fadge

Fast automatic differential geometry with JAX

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

mbayes

Bayesian inference with Wolfram Mathematica

mlwpy_code

Code from the Pearson Addison-Wesley book Machine Learning with Python for Everyone

notebook

Jupyter Interactive Notebook

odw-2023

Tutorials for GW Open Data Workshop, 2023

pacagetmode

A Mathematica package by the name 'Polynomial adaptive cellular automata' to get the quasi-normal modes for the particles oscillating in the background of a black hole.

qm

qnm

Python package for computing Kerr quasinormal mode frequencies, separation constants, and spherical-spheroidal mixing coefficients

trial01