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Documentation/images.md (11569, 2023-10-17)
Documentation/scripts.md (9204, 2023-10-17)
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images/conftest.py (3068, 2023-10-17)
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images/datascience-notebook/scripts/canvas_exporter.py (4282, 2023-10-17)
images/datascience-notebook/scripts/install-all.sh (175, 2023-10-17)
images/datascience-notebook/scripts/install-python-all.sh (124, 2023-10-17)
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images/datascience-notebook/scripts/install-python/install-ipykernel_clean.sh (443, 2023-10-17)
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images/datascience-notebook/scripts/install-python/install-local-env-backup.sh (174, 2023-10-17)
images/datascience-notebook/scripts/install-python/install-nbgitpuller.sh (133, 2023-10-17)
images/datascience-notebook/scripts/install-python/install-nbgrader.sh (327, 2023-10-17)
images/datascience-notebook/scripts/install-python/install-nbresuse.sh (270, 2023-10-17)
images/datascience-notebook/scripts/install-python/kernel_env.json (55, 2023-10-17)
images/datascience-notebook/scripts/jupyter_notebook_config.py (89, 2023-10-17)
images/datascience-notebook/scripts/nbgrader_config.py (601, 2023-10-17)
images/datascience-notebook/test/ (0, 2023-10-17)
images/datascience-notebook/test/data/ (0, 2023-10-17)
images/datascience-notebook/test/data/test-notebook.ipynb (11284, 2023-10-17)
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# DataHub Docker Stack: Home Page ## Overview This Github repository builds and maintains the [standard suite of Docker containers](https://support.ucsd.edu/services?id=kb_article_view&sysparm_article=KB0032173&sys_kb_id=e61b198e1b74781048e9cae5604bcbe0) supported by UC San Diego Educational Technology Services. ### Featureset You can see the stable image manifests (their support libraries) on the [repository's wiki.](https://github.com/ucsd-ets/datahub-docker-stack/wiki) Currently, we support 3 images: - datascience-notebook (has dpkt + nose + datascience libs) - This image comes with Kernels that support Python3, R, and Julia. - This is also our base image, so everything installed on this image is also installed on all other standard images. - scipy-ml-notebook (has PyTorch/Tensorflow + GPU Support) - rstudio-notebook (installs the RStudio IDE) ```mermaid {code_block=true} %%{ init: { 'flowchart': { 'curve': 'linear' } } }%% flowchart RL A[juptyer/datascience-notebook] B[ucsd-ets/datascience-notebook] B --> |is a| A C2[ucsd-ets/scipy-ml-notebook] C2 --> B C1[ucsd-ets/rstudio-notebook] C1 --> B ``` ## Documentation To learn more about how each component works, please navigate to its own documentation. We suggest reading [Architecture](/Documentation/architecture.md) first. - Table of Contents - [Actions](/Documentation/actions.md): how Github Actions help automate our key tasks. - [Architecture](/Documentation/architecture.md): the file architecture of this repository and how each component relates to each other. - [Images](/Documentation/images.md): what we use and how we use them to maintain our Docker images. - [Scripts](/Documentation/scripts.md): how the backend scripts work and what each module does in the bigger picture. - [Tests](/Documentation/tests.md): how we perform tests and the difference among them. - [Development Guide](/Documentation/dev_guide.md): useful tips to look at and follow if you want to contribute to this repository.

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