Dockerfile.python-3.10

+ARG BASE_IMAGE=registry.git.rwth-aachen.de/jupyter/profiles/rwth-courses-python-3.10:latest
+FROM ${BASE_IMAGE}
+
+ARG conda_env=python310
+ARG py_ver=3.10
+ARG disp_name="Python 3.10 (ipykernel)"
+
+# Install packages via requirements.txt
+ADD requirements.txt .
+RUN "${CONDA_DIR}/envs/${conda_env}/bin/pip" install --no-cache-dir -r requirements.txt
+
+# .. Or update conda base environment to match specifications in environment.yml
+ADD environment.yml /tmp/environment.yml
+
+# All packages specified in environment.yml are installed in the base environment
+RUN mamba env update -n "${conda_env}" -f /tmp/environment.yml && \
+    mamba clean -a -f -y
+

Dockerfile.python-3.11

+ARG BASE_IMAGE=registry.git.rwth-aachen.de/jupyter/profiles/rwth-courses-python-3.11:latest
+FROM ${BASE_IMAGE}
+
+ARG conda_env=python311
+ARG py_ver=3.11
+ARG disp_name="Python 3.11 (ipykernel)"
+
+# Install packages via requirements.txt
+ADD requirements.txt .
+RUN "${CONDA_DIR}/envs/${conda_env}/bin/pip" install --no-cache-dir -r requirements.txt
+
+# .. Or update conda base environment to match specifications in environment.yml
+ADD environment.yml /tmp/environment.yml
+
+# All packages specified in environment.yml are installed in the base environment
+RUN mamba env update -n "${conda_env}" -f /tmp/environment.yml && \
+    mamba clean -a -f -y
+

Dockerfile.python-3.12

+ARG BASE_IMAGE=registry.git.rwth-aachen.de/jupyter/profiles/rwth-courses-python-3.12:latest
+FROM ${BASE_IMAGE}
+
+ARG conda_env=python312
+ARG py_ver=3.12
+ARG disp_name="Python 3.12 (ipykernel)"
+
+# Install packages via requirements.txt
+ADD requirements.txt .
+RUN "${CONDA_DIR}/envs/${conda_env}/bin/pip" install --no-cache-dir -r requirements.txt
+
+# .. Or update conda base environment to match specifications in environment.yml
+ADD environment.yml /tmp/environment.yml
+
+# All packages specified in environment.yml are installed in the base environment
+RUN mamba env update -n "${conda_env}" -f /tmp/environment.yml && \
+    mamba clean -a -f -y

Dockerfile.python-3.13

+ARG BASE_IMAGE=registry.git.rwth-aachen.de/jupyter/profiles/rwth-courses-python-3.13:latest
+FROM ${BASE_IMAGE}
+
+ARG conda_env=python313
+ARG py_ver=3.13
+ARG disp_name="Python 3.13 (ipykernel)"
+
+# Install packages via requirements.txt
+ADD requirements.txt .
+RUN "${CONDA_DIR}/envs/${conda_env}/bin/pip" install --no-cache-dir -r requirements.txt
+
+# .. Or update conda base environment to match specifications in environment.yml
+ADD environment.yml /tmp/environment.yml
+
+# All packages specified in environment.yml are installed in the base environment
+RUN mamba env update -n "${conda_env}" -f /tmp/environment.yml && \
+    mamba clean -a -f -y
+

README.md

@@ -2,11 +2,12 @@
 
 ## Introduction
 
-This repository contains an exemplary Jupyter profile which works with the RWTHjupyter cluster. To be more specific, it includes the following files
+This repository contains an exemplary Jupyter profiles which works with the RWTHjupyter cluster. To be more specific, it includes the following files
 
 * `Quickstart.ipynb` which is an exemplary Jupyter notebook file.
 * `environment.yml` which specifies the required Python packages needed to run `Quickstart.ipynb`. This file is used by Anaconda or `conda`.
-* `Dockerfile` which defines the linux environment. In the end, the packages in `environment.yml` are installed.
+* `Dockerfile` which defines the linux environment based on Python3.9. In the end, the packages in `environment.yml` are installed.
+* `Dockerfile.python-*` defines the linux environment based on a specific python version. In the end, the packages in `environment.yml` are installed.
 * `.gitlab-ci.yml` which specifies the necessary Docker build commands (which are executed every time `Dockerfile` changes in Git).
 
 ## Installation
@@ -31,7 +32,12 @@ cd ${WORKDIR}
 docker login registry.git.rwth-aachen.de
 
 # Build the Docker image
-docker build --tag jupyter-example-profile .
+docker build --tag jupyter-example-profile . # Default version (Python 3.9)
+docker build --tag jupyter-example-profile -f Dockerfile.python-3.10 # Python 3.10
+docker build --tag jupyter-example-profile -f Dockerfile.python-3.11 # Python 3.11
+docker build --tag jupyter-example-profile -f Dockerfile.python-3.12 # Python 3.12
+docker build --tag jupyter-example-profile -f Dockerfile.python-3.13 # Python 3.13
+
 
 # Run the Docker image
 docker run --name='jupyter-example-profile' --rm --interactive --tty --publish 8888:8888 --volume ${WORKDIR}:/home/jovyan jupyter-example-profile
@@ -72,6 +78,6 @@ To run the notebooks on your local machine, you may use [Anaconda](https://www.a
 ## Contact
 
 * If you found a bug, please use the [issue tracker](https://git-ce.rwth-aachen.de/jupyter/profiles/examples/issues).
-* In all other cases, please contact [Christian Rohlfing](http://www.ient.rwth-aachen.de/cms/c_rohlfing/).
+* In all other cases, please contact the [ServiceDesk of the ITC](mailto:servicedesk@itc.rwth-aachen.de).
 
 The code is licensed under the [MIT license](https://opensource.org/licenses/MIT).