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[](https://github.com/nmfs-opensci/py-rocket-geospatial-2/actions/workflows/build-and-push.yml)
docker run -it --rm -p 8888:8888 ghcr.io/nmfs-opensci/container-images/py-rocket-geospatial-2:latest
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Python 3.11 is installed with a conda environment called notebook that is activated on opening the container. R 4.5.X is installed and operates separate from the conda notebook environment (conda is not on the PATH when using R). R can be used from RStudio or JupyterLab and the same R environment is used.
*[Pinned Python packages](packages-python-pinned.yaml) - Auto-generated list of all Python packages with pinned versions
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*[Pinned R packages](packages-r-pinned.R) - Auto-generated list of all R packages with pinned versions
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## Structure
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* The base infrastructure (Jupyter, Dask, Python install, conda env, R install, all the set ups around the user experience) are in [py-rocket-base](https://github.com/nmfs-opensci/py-rocket-base/). See the [py-rocket-base documentation](https://nmfs-opensci.github.io/py-rocket-base/) for information on the base image structure and design.
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* The base infrastructure (Jupyter, Dask, Python install, conda env, R install, all the set ups around the user experience) are in [py-rocket-base](https://github.com/nmfs-opensci/py-rocket-base/) which is the base image in the Dockerfile. See the [py-rocket-base documentation](https://nmfs-opensci.github.io/py-rocket-base/) for information on the base image structure and design.
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* py-rocket-geospatial-2 the Python scientific core packages and Python and R geospatial packages. Note the R core scientific packages are in py-rocket-base since rocker_verse is the base R.
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* py-rocket-geospatial-2 also installs QGIS, CoastWatch Utilities, and Panoply.
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#### py-rocket-geospatial-2 files that determine the image packages
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