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collection of notebook-apps for concepts in applied geophysics

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GeoSci Labs

binder pypi License SimPEG

This is a repository of code used to power the notebooks and interactive examples for https://em.geosci.xyz and https://gpg.geosci.xyz.

The examples are based on code available in SimPEG.

Why

Interactive visualizations are a powerful way to interrogate mathematical equations. The goal of this repository is to be the home for code that can be plugged into jupyter notebooks so that we can play with the governing equations of geophysical electromagnetics.

Scope

The repository contains the python code to run the ipython-widget style apps in http://github.com/geoscixyz/geosci-labs. These are mainly plotting code and some simple analytics. More complex numerical simulations depend on SimPEG

Usage

The notebooks can be run online through Binder, or downloaded and run locally.

Binder

Binder

  1. Launch the binder by clicking on the badge above or going to: https://mybinder.org/v2/gh/geoscixyz/geosci-labs/main?filepath=notebooks%2Findex.ipynb. This can sometimes take a couple minutes, so be patient...

  2. Select the notebook of interest from the contents

  3. Run the Jupyter notebook

Binder-steps

Locally

To run them locally, you will need to have python installed, preferably through anaconda.

You can then clone this reposiroty. From a command line, run

git clone https://github.com/geoscixyz/geosci-labs.git

Then cd into geosci-labs

cd geosci-labs

To setup your software environment, we recommend you use the provided conda environment

conda env create -f environment.yml
conda activate geosci-labs

alternatively, you can install dependencies through pypi

pip install -r requirements.txt

You can then launch Jupyter

jupyter notebook

Jupyter will then launch in your web-browser.

Running the notebooks

Each cell of code can be run with shift + enter or you can run the entire notebook by selecting cell, Run All in the toolbar.

cell-run-all

For more information on running Jupyter notebooks, see the Jupyter Documentation

Using in a course

Issues

If you run into problems or bugs, please let us know by creating an issue in this repository.

For Contributors

We are glad you are interested in contributing! Please check out the contributing guide for ideas of how to get involved.

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  • Python 57.1%
  • Jupyter Notebook 42.8%
  • Makefile 0.1%