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Commit 372844b

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Upgraded Python dependencies (for Python 3.9.13)
1 parent c9c5d0e commit 372844b

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‎.python-version

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3.9.12
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3.9.13

‎Pipfile.lock

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‎centos9/Dockerfile

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#
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# Python Jupyter notebooks for Artificial Intelligence (AI) / Machine Learning (ML) on CentOS 8
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#
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# Source: https://github.com/machine-learning-helpers/docker-python-jupyter/blob/master/centos8/Dockerfile
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#
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# References:
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# * ML specific Dockerfile: https://github.com/machine-learning-helpers/docker-python-jupyter/tree/master/centos8
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# * ML specific images on Docker Hub: https://hub.docker.com/repository/docker/infrahelpers/python-jupyter
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# * C++/Python generic Dockerfile: https://github.com/cpp-projects-showcase/docker-images/tree/master/centos8
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# * C++/Python generic images on Docker Hub: https://hub.docker.com/repository/docker/infrahelpers/cpppython
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#
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FROM infrahelpers/cpppython:centos8
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LABEL authors="Denis Arnaud <denis.arnaud_github at m4x dot org>"
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LABEL version="0.1"
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# Configuration
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ENV container docker
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ENV HOME /home/build
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ENV LANGUAGE en_US:en
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ENV LANG en_US.UTF-8
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ENV LC_ALL $LANG
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# Create the top directories to host the notebook and data samples
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USER root
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RUN mkdir -p /notebook /data && chown build.build /notebook /data
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# Switch to the `build` user
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USER build
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# Python
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ENV PATH $HOME/.pyenv/bin:$HOME/.pyenv/shims:$PATH
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# Download some sample notebooks and data sets
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WORKDIR /notebook
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RUN git clone https://github.com/machine-learning-helpers/induction-python.git .
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WORKDIR /data
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RUN git clone https://github.com/machine-learning-helpers/data-samples.git .
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# The base directory is where the Jupyter notebook samples have been dowloaded.
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# However, that directory may be overshadowed by the one the user running that
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# Docker image may wish to mount instead.
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# There is content (which can be overshadowed) in that directory just in case
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# the user does not want to mount her/his own Jupyter notebooks.
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# Same comment for the content of the /data directory.
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VOLUME /notebook
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WORKDIR /notebook
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# Install the Python dependencies, including Jupyter
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RUN pipenv install
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# Tell Docker that about the Jupyter port
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EXPOSE 8888
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# Launch Jupyter
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CMD pipenv run jupyter lab --allow-root --no-browser --ip 0.0.0.0 --NotebookApp.token=
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‎ubuntu2204/Dockerfile

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#
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# Python Jupyter notebooks for Artificial Intelligence (AI) / Machine Learning (ML) on Ubuntu 20.04 LTS (Focal Fossa)
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#
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# Source: https://github.com/machine-learning-helpers/docker-python-jupyter/blob/master/ubuntu2004/Dockerfile
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#
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# References:
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# * ML specific Dockerfile: https://github.com/machine-learning-helpers/docker-python-jupyter/tree/master/ubuntu2004
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# * ML specific images on Docker Hub: https://hub.docker.com/repository/docker/infrahelpers/python-jupyter
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# * C++/Python generic Dockerfile: https://github.com/cpp-projects-showcase/docker-images/tree/master/ubuntu2004
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# * C++/Python generic images on Docker Hub: https://hub.docker.com/repository/docker/infrahelpers/cpppython
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#
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FROM infrahelpers/cpppython:ubuntu2004
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LABEL authors="Denis Arnaud <denis.arnaud_github at m4x dot org>"
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LABEL version="0.1"
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# Configuration
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ENV container docker
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ENV HOME /home/build
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ENV LANGUAGE en_US:en
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ENV LANG en_US.UTF-8
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ENV LC_ALL $LANG
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# Create the top directories to host the notebook and data samples
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USER root
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RUN mkdir -p /notebook /data && chown build.build /notebook /data
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# Switch to the `build` user
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USER build
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# Python
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ENV PATH $HOME/.pyenv/bin:$HOME/.pyenv/shims:$PATH
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# Download some sample notebooks and data sets
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WORKDIR /notebook
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RUN git clone https://github.com/machine-learning-helpers/induction-python.git .
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WORKDIR /data
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RUN git clone https://github.com/machine-learning-helpers/data-samples.git .
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# The base directory is where the Jupyter notebook samples have been dowloaded.
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# However, that directory may be overshadowed by the one the user running that
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# Docker image may wish to mount instead.
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# There is content (which can be overshadowed) in that directory just in case
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# the user does not want to mount her/his own Jupyter notebooks.
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# Same comment for the content of the /data directory.
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VOLUME /notebook
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WORKDIR /notebook
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# Install the Python dependencies, including Jupyter
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RUN pipenv install
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# Tell Docker that about the Jupyter port
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EXPOSE 8888
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# Launch Jupyter
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CMD pipenv run jupyter lab --allow-root --no-browser --ip 0.0.0.0 --NotebookApp.token=
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