This is a repo of archived course materials to be used as a reference.

The purpose of this repo is for me to review this materials, and use git for version control as I go through the exercises.
Unfortunately I've only saved a few of the .ipynb files I solved. But given that I need to revise a lot of the materials here for what I'm doing now in python, I'll just slowly work through them. Most of the html pages generated with NbConvert look fine most of the time.

Notes on the licence.

Courses: 1) https://scipy-lectures.org/_downloads/ScipyLectures.pdf and 2) MATS15501 MATS31101

(1) Is licenced under CC. (2) They have not explicitly provided a licence. Therefore this is licenced under a source-available restrictive licence. See LICENSE.md No coppyright infringement is intedend.

Description
Data and Image Analysis; Modeling. Curve Fitting; Finite Differencing; Finite Element Method; Monte Carlo Simulation; Atomistic Simulation; Phase Field Simulation; Machine Learning; Bayesian Statistics.
Readme 72 MiB
Languages
Jupyter Notebook 100%