Skip to content

GPlates/pygplates-tutorials

master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 
 
 
 
 

pygplates-tutorials

Introduction

This repository contains jupyter notebooks which demonstrate how to use pygplates in plate tectonic research. The notebooks are designed to be a 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 18888:8888 -v `pwd`:/home/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).

Step 4: Check the notebooks in a web browser

http://localhost:18888/tree/notebooks

Note that if you are running Docker Toolbox on Windows then replace localhost with the output of docker-machine ip.

System Requirements:

If you would like to run the notebooks in your computer directly(instead of using Docker), you need to install all the required dependencies.

The fundamental requirement to run these notebooks is to have pygplates for python3 installed. Installation instructions can be found in the pygplates user documentation. Other python modules and libraries used by the notebooks are listed in docker/Dockerfile.

It is strongly recommended to use Docker container to run these notebooks.

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 18888:8888 -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: www.gplates.org

The pygplates documentation can be found here: 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/

About

Repository for ipython notebooks demonstrating functionality of pygplates

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages