Dockerfile

 # Specify parent image. Please select a fixed tag here.
-ARG BASE_IMAGE=registry.git.rwth-aachen.de/jupyter/profiles/rwth-courses:2020-ss.1
+ARG BASE_IMAGE=registry.git.rwth-aachen.de/jupyter/profiles/rwth-courses:latest
 FROM ${BASE_IMAGE}
 
 # Install packages via requirements.txt
@@ -10,6 +10,6 @@ RUN pip install -r requirements.txt
 ADD environment.yml /tmp/environment.yml
 
 # All packages specified in environment.yml are installed in the base environment
-RUN conda env update -f /tmp/environment.yml && \
-    conda clean -a -f -y
+RUN mamba env update -f /tmp/environment.yml && \
+    mamba clean -a -f -y
 

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
+

Quickstart.ipynb

 %% Cell type:markdown id: tags:
 
 ![RWTH Logo](https://www.rwth-aachen.de/global/show_picture.asp?id=aaaaaaaaaaagazb)
 
 # Jupyter Example Profile Quickstart
 
 Welcome to JupyterLab!
 
 * Execute a single cell: <span class="fa-play fa"></span>
 * Execute all cells: Menu: Run <span class="fa-chevron-right fa"></span> Run All Cells
 * To reboot kernel: <span class="fa-refresh fa"></span>
 
 Find more in the reference (menu: Help <span class="fa-chevron-right fa"></span> Jupyter Reference).
 
 %% Cell type:markdown id: tags:
 
 ## Markdown
 
 You can specify the cell type which is either _Code_ or _Markdown_.
 
 ### Lists
 
 * Like
 * this
   1. We can even nest them like
   2. this!
 * Isn't that wonderfull?
 
 ### Images
 
 ![Newtons cradle](https://upload.wikimedia.org/wikipedia/commons/thumb/d/d3/Newtons_cradle_animation_book_2.gif/200px-Newtons_cradle_animation_book_2.gif)
 
 ### LaTeX equations
 
 $$\mathrm{e}^{\mathrm{j} x} = \cos(x)+\mathrm{j}\sin(x)$$
 
 ### Code
 
 ``` python
 print("Hello world!")
 ```
 
 ### Further reading
 Read more in the reference (menu: Help <span class="fa-chevron-right fa"></span> Markdown Reference).
 
 %% Cell type:markdown id: tags:
 
 ## Python
 
 %% Cell type:code id: tags:
 
 ``` python
 print("Hello world!")
 ```
 
 %% Cell type:markdown id: tags:
 
 ## numpy
 
 Execute the cell below to see the contents of variable `a`
 
 %% Cell type:code id: tags:
 
 ``` python
 import numpy as np
 
 a = np.array([0, 1, -5])
 a
 ```
 
 %% Cell type:markdown id: tags:
 
 ## Plots with matplotlib
 
 Nice matplotlib [tutorial](https://matplotlib.org/tutorials/introductory/usage.html#sphx-glr-tutorials-introductory-usage-py)
 
 %% Cell type:code id: tags:
 
 ``` python
 %matplotlib widget
 import matplotlib.pyplot as plt
-from rwth_colors_matplotlib import *
+import rwth_nb.plots.mpl_decorations as rwth_plots
 
 fs = 44100;
 (t, deltat) = np.linspace(-10, 10, 20*fs, retstep=True) # t axis in seconds
 
 fig,ax = plt.subplots(); ax.grid();
 ax.plot(t, np.sin(2*np.pi*t), 'rwth:blue')
 ax.set_xlabel(r'$t$'); ax.set_ylabel(r'$s(t) = \sin(2 \pi t)$');
 ```
 
-%% Cell type:code id: tags:
-
-``` python
-from scipy import misc
-f = misc.face()
-
-fig,ax = plt.subplots();
-ax.imshow(f);
-```
-
 %% Cell type:markdown id: tags:
 
 ## Interactive Widgets
 
 Jupyter Widgets. You can find a detailled widget list [here](https://ipywidgets.readthedocs.io/en/latest/examples/Widget%20List.html).
 This requires to install [Jupyter Matplotlib](https://github.com/matplotlib/jupyter-matplotlib) which is called with the `%matplotlib widget` magic.
 
 Uses Python [decorators](https://docs.python.org/3/glossary.html#term-decorator).
 
 %% Cell type:code id: tags:
 
 ``` python
 import ipywidgets as widgets
 
 # Create figure
 fig0, ax0 = plt.subplots();
 
 # Create update function and decorate them with widgets
 @widgets.interact(F = widgets.FloatSlider(min=0.1, max=10, step=0.1, value=0, description='$F$:'))
 def update_plot(F):
     # Generate signal with given F
     s = np.sin(2*np.pi*F*t)
 
     # Plot
     if not ax0.lines: # decorate axes with labels etc. (which is only needed once)
         ax0.plot(t, s, 'rwth:blue');
         ax0.set_xlabel(r'$t$'); ax.set_ylabel(r'$s(t)=\sin(2 \pi F t)$')
     else: # update only lines and leave everything else as is (gives huge speed-up)
         ax0.lines[0].set_ydata(s)
 ```
 
 %% Cell type:markdown id: tags:
 
 ## Audio
 
 %% Cell type:code id: tags:
 
 ``` python
 from IPython.display import Audio, Latex
 
 def audio_play(s, fs, txt="", autoplay=False):
     if txt: display(Latex(txt))
     display(Audio(s, rate=fs, autoplay=autoplay))
 
 # Create sin
 s = np.sin(2*np.pi*440*t)
 
 # Play back
 audio_play(s, fs, r'$s(t)$')
 ```
 
 %% Cell type:markdown id: tags:
 
 ## RWTH Colors
 
 %% Cell type:code id: tags:
 
 ``` python
-from rwth_colors_matplotlib import *
-
 # adapted from https://matplotlib.org/2.0.0/examples/color/named_colors.html
-colors = rwth_colors;
+
+colors = rwth_plots.colors.rwth_colors;
 ncols = 5; nrows = len(colors.keys()) // ncols + 1;
 
 fig, ax = plt.subplots()
 X, Y = fig.get_dpi() * fig.get_size_inches() # Get height and width
 w = X / ncols; h = Y / (nrows + 1)
 
 for i, name in enumerate(colors.keys()):
     col = i % ncols
     row = i // ncols
     y = Y - (row * h) - h
 
     xi_line = w * (col + 0.05); xf_line = w * (col + 0.25); xi_text = w * (col + 0.3)
     ax.text(xi_text, y, name, fontsize=10, horizontalalignment='left', verticalalignment='center')
     ax.hlines(y + h * 0.1, xi_line, xf_line, color=colors[name], linewidth=(h * 0.6))
 
 ax.set_xlim(0, X); ax.set_ylim(0, Y); ax.set_axis_off();
 fig.subplots_adjust(left=0, right=1, top=1, bottom=0, hspace=0, wspace=0)
 ```
 
 %% Cell type:markdown id: tags:
 
 ## Magic
 
 %% Cell type:code id: tags:
 
 ``` python
 %%svg
 
 <svg width='300px' height='300px'>
 
 <title>Small SVG example</title>
 
 <circle cx='120' cy='150' r='60' style='fill: gold;'>
  <animate attributeName='r' from='2' to='80' begin='0'
  dur='3' repeatCount='indefinite' /></circle>
 
 <polyline points='120 30, 25 150, 290 150'
  stroke-width='4' stroke='brown' style='fill: none;' />
 
 <polygon points='210 100, 210 200, 270 150'
  style='fill: lawngreen;' />
 
 <text x='60' y='250' fill='blue'>Hello, World!</text>
 
 </svg>
 ```

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).