pygplates-tutorials

Introduction

This repository contains a series of Jupyter notebooks which demonstrate how to use pygplates in plate tectonic research. The notebooks were designed to be a valuable companion to the pygplates documentation. The documentation contains sample code illustrating in a general sense how to perform certain tasks; these notebooks contain worked examples on actual data sets.

Getting Started

Step 1: Download the repository

git clone --depth=1 https://github.com/GPlates/pygplates-tutorials.git

Note that this requires git to be installed on your local system. Alternatively you can download the repository as a zip file (and extract on your local system).

Step 2: Pull the gplates/pygplates-notebook docker container

install Docker https://www.docker.com/ if you have not done so.

docker pull gplates/pygplates-tutorials

Step 3: Run the Docker container

in the top level folder of this repository(pygplates-tutorials)

docker run -it --rm -p 8888:8888 -v `pwd`:/workspace gplates/pygplates-tutorials

Note that this sets up Docker to display notebooks in your current working directory (where you cloned or downloaded the Github repository). Also note: 'pwd' may be replaced with the full path to local project repo if there is an issue with docker run command, in particular if no files show up in localhost web GUI of jupyter workspace

Step 4: Open the notebooks in a web browser

http://localhost:8888/tree/notebooks

Note that if you are running Docker Toolbox on Windows then replace localhost with the output of docker-machine ip. The token can be found in the terminal(see the screenshot below).

Run in Conda environment

• conda create --name pygplates-tutorials --c conda-forge gplately jupyter moviepy plate-model-manager
• conda activate pygplates-tutorials
• jupyter notebook
• run the notebook at http://localhost:8888

Notes about Docker:

You don't need to read this section unless you are interested in learning a bit about Docker.

build the docker image:

cd docker
docker build -t gplates/pygplates-tutorials .

run the docker container:

cd pygplates-tutorials
docker run -it --rm -p 8888:8888 -v `pwd`:/home/workspace gplates/pygplates-tutorials

push Docker image to Dockerhub.com

docker push gplates/pygplates-tutorials

About

These tutorials stem from the work of Simon Williams, Michael Tetley, John Cannon and Michael Chin at EarthByte Group, University of Sydney, 2016-present

For general information on GPlates, please see the gplates website: https://www.gplates.org

The pygplates documentation can be found here: https://www.gplates.org/docs/pygplates/index.html

If you have issues or questions, you may post the questions in GPlates online forum https://discourse.gplates.org.

or submit an inquiry here https://www.earthbyte.org/contact-us-3/