https://github.com/jgomezdans/geog_docker

Docker image for Geospatial Python teaching
https://github.com/jgomezdans/geog_docker

docker-image environmental-modelling gdal python remote-sensing teaching ucl

Last synced: 6 months ago
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Docker image for Geospatial Python teaching

• Host: GitHub
• URL: https://github.com/jgomezdans/geog_docker
• Owner: jgomezdans
• License: gpl-3.0
• Created: 2020-07-15T18:38:19.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2020-08-06T13:19:14.000Z (about 5 years ago)
• Last Synced: 2025-04-25T17:18:03.447Z (6 months ago)
• Topics: docker-image, environmental-modelling, gdal, python, remote-sensing, teaching, ucl
• Language: Jupyter Notebook
• Homepage:
• Size: 624 KB
• Stars: 4
• Watchers: 2
• Forks: 1
• Open Issues: 14
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# University College London Department of Geography Base Docker image

This repository contains a basic teaching Docker image using Python via Jupyter notebooks. This repository is designed to be modified and tailored to suit different courses (by virtue of e.g. modifying the installed Python packages).

## Design concepts

We assume that:

1. You want to use a fairly recent version of Python (3.7 is current and well-supported in terms of packages). 

2. We also assume that all packages can be installed either as [conda](http://docs.conda.io) or [pip](https://pypi.org/project/pip/) packages. 

3. You have both a [Github](https://github.com) and a [Docker hub](https://hub.docker.com) account.

4. Most of the teaching material includes notebooks.

5. You have nerves of steel, laser-focus and substantial amounts of patience.

## Online documentation

You can also peruse the [online documentation](https://geog-docker.readthedocs.io/).