59 lines
1.2 KiB
Docker
59 lines
1.2 KiB
Docker
#
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# NOTE: Use the Makefiles to build this image correctly.
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#
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ARG BASE_IMG=<jupyter>
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FROM $BASE_IMG
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# install - usefull linux packages
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USER root
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RUN apt-get -yq update \
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&& apt-get -yq install --no-install-recommends \
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# for latex
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cm-super \
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dvipng \
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# for matplotlib
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ffmpeg \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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USER $NB_UID
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# install - conda packages
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# NOTE: we use mamba to speed things up
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RUN mamba install -y -q \
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altair \
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beautifulsoup4==4.13.3 \
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bokeh==3.6.3 \
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bottleneck \
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brotli \
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cloudpickle \
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dask==2024.12.1 \
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dill \
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h5py \
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ipympl \
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matplotlib==3.10.0 \
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numba \
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numexpr \
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numpy==1.26.4 \
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openblas==0.3.28 \
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openpyxl \
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pandas==2.2.3 \
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patsy \
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protobuf \
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pytables==3.10.2 \
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scikit-image==0.25.1 \
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scikit-learn==1.6.1 \
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scipy==1.15.1 \
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seaborn==0.13.2 \
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sqlalchemy==2.0.38 \
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statsmodels \
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sympy \
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vincent \
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xgboost==2.1.4 \
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xlrd \
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&& mamba clean -a -f -y
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# install - requirements.txt
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COPY --chown=${NB_USER}:${NB_GID} requirements.txt /tmp
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RUN python3 -m pip install -r /tmp/requirements.txt --quiet --no-cache-dir \
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&& rm -f /tmp/requirements.txt |