README.md

SimPEG User Tutorials

A set of user tutorials for SimPEG.

Website of the tutorials: https://simpeg.xyz/user-tutorials.

How to build the website locally

The SimPEG User Tutorials were created using Myst. Myst is capable of building the website from content stored in Jupyter Notebooks.

We can build the website from the current content in the Jupyter Notebooks. This can be done in a few seconds with very slim resource requirements.

Rerunning the notebooks is a more intensive task that will require significant amount of memory (specially for the computationally intensive notebooks) and it will take some time.

Here you'll find instructions to:

• Build and the website locally
• Rerun notebooks in the repo

Build and serve the website locally

Start by cloning this repository:

git clone https://github.com/simpeg/user-tutorials
cd user-tutorials

To build the website you'll need to install mystmd. Alternatively, you can create a conda environment using the environment.yml file:

conda env create -f environment.yml

Once you have mystmd installed, we can now build the website from its sources.

Build and serve

The following command will build the website and serve it locally, so you can preview it. Follow the instructions that will be prompted by the command to see the website:

msyt start

Build only

The following command will build the website and store the HTML files in a new _build folder:

msyt build --html

Clean cached builds

myst clean --all

Rerun notebooks

Start by cloning this repository:

git clone https://github.com/simpeg/user-tutorials
cd user-tutorials

And create a conda environment using the provided environment.yml file:

conda env create -f environment.yml

We can use nbconvert to rerun a notebook and overwrite its output cells in place. To rerun a single notebook, use:

jupyter nbconvert --to notebook --execute --inplace notebook.ipynb

To rerun all notebooks, use:

Caution

Rerunning all notebooks is a computationally intensive task. Some notebooks require significant amount of memory to allocate large sensitivity matrices.

Important

If you are using bash as your shell, make sure to run shopt -s globstar to enable the globstar feature that allows the use of ** for filename expansion.

jupyter nbconvert --to notebook --execute --inplace notebooks/**/*.ipynb

License

All text and figures are licensed under a Creative Commons Attribution 4.0 International License, except where explicitly expressed. A copy of this license is provided in LICENSE-CC-BY.

All code in this repository is free software: you can redistribute it and/or modify it under the terms of the MIT License. A copy of this license is provided in LICENSE.