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LET JupyterHub Presentation: https://nbviewer.org/urls/gist.githubusercontent.com/mauro3/42aac8d7aab07b1a4e56391f4c53233e/raw/35110d553a534a4aa49c3f32b39554a41eaea058/LET-werder.ipynb
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| #src # I produce the jupyter notebook from this plain-text script via the use of the package Literate.jl. | |
| #src # Note for Python https://mpastell.com/pweave/ provides similar capabilities. | |
| #src # This is needed to make this run as normal Julia file: | |
| using Markdown #src | |
| #nb # %% A slide [markdown] {"slideshow": {"slide_type": "slide"}} | |
| md""" | |
| # My experiences using Jupyter-notebooks and JupyterHub for teaching @ ETH | |
| Mauro Werder | |
| - from WSL Birmensdorf and VAW, D-Baug | |
| - glaciologist | |
| Courses: | |
| Physics of Glaciers (link [651-4101-00L](http://www.vvz.ethz.ch/Vorlesungsverzeichnis/lerneinheit.view?lerneinheitId=146914&semkez=2021W&lang=de)) | |
| Solving partial differential equations in parallel on GPUs (link [101-0250-00](https://eth-vaw-glaciology.github.io/course-101-0250-00)) | |
| """ | |
| #nb # %% A slide [markdown] {"slideshow": {"slide_type": "slide"}} | |
| md""" | |
| ## Aside: Slides as Jupyter Notebooks | |
| - These slides are just a [Jupyter notebook](https://jupyter.org/); a browser-based computational notebook. | |
| - The slides are presented with the [RISE plugin](https://rise.readthedocs.io/en/stable/installation.html). | |
| - find all the text, figures & code for this presentation at https://tinyurl.com/LET-mauro | |
| Code cells are executed by putting the cursor into the cell and hitting `shift + enter`: | |
| """ | |
| 1 + 1 | |
| #nb # %% A slide [markdown] {"slideshow": {"slide_type": "fragment"}} | |
| md""" | |
| Code, writing and figures can be interspersed in Jupyter notebooks. | |
| """ | |
| #nb # %% A slide [markdown] {"slideshow": {"slide_type": "fragment"}} | |
| md""" | |
| Notebooks can be run on your local computer or in the cloud. | |
| """ | |
| #nb # %% A slide [markdown] {"slideshow": {"slide_type": "slide"}} | |
| md""" | |
| ## JupyterHub: notebooks in the cloud | |
| """ | |
| #nb # %% A slide [markdown] {"slideshow": {"slide_type": "fragment"}} | |
| md""" | |
|  | |
| """ | |
| #nb # %% A slide [markdown] {"slideshow": {"slide_type": "slide"}} | |
| md""" | |
| ## JupyterHub: notebooks in the cloud | |
| - using JupyterHub a server can provide Jupyter notebooks and more | |
| - since HS 2021, LET offers JupyterHub servers for ETH-courses | |
| - see https://blogs.ethz.ch/letblog/2022/02/21/did-you-know-there-is-a-jupyterhub-at-eth | |
| - JupyterHub-server can also be self-hosted | |
| """ | |
| #nb # %% A slide [markdown] {"slideshow": {"slide_type": "slide"}} | |
| md""" | |
| ## Jupyter in "Physics of Glaciers" course | |
| - only part (1/3) of the lectures used Jupyter notebooks | |
| - used the LET offered JupyterHub | |
| Demo: | |
| """ | |
| #nb # %% A slide [markdown] {"slideshow": {"slide_type": "fragment"}} | |
| md""" | |
| - class exercises | |
| - assignments with notebooks | |
| (sorry, these notbooks are close-source, so no link.) | |
| """ | |
| #nb # %% A slide [markdown] {"slideshow": {"slide_type": "slide"}} | |
| md""" | |
| ## Course "Solving partial differential equations in parallel on GPUs" | |
| Computing galore! | |
| - new course by **Ludovic Räss** | |
| - Jupyter notebooks for | |
| - introductory material | |
| - specialized performance lecture | |
| - our course slides | |
| - website generated from Julia code | |
| - website: https://eth-vaw-glaciology.github.io/course-101-0250-00 | |
| - code-repo: https://github.com/eth-vaw-glaciology/course-101-0250-00/ | |
| - also teach *software engineering*: unit testing, git, documentation, open source codes, virtual environments | |
| - exercise hand-in via GitHub repository | |
| Demo: | |
| - [Lecture1.3 Julia Intro](https://github.com/eth-vaw-glaciology/course-101-0250-00/blob/main/slide-notebooks/notebooks/l1_3-julia-intro.ipynb) | |
| """ | |
| #nb # %% A slide [markdown] {"slideshow": {"slide_type": "slide"}} | |
| md""" | |
| ## Conclusions | |
| - Jupyter notebooks / JupyterHub provide a convenient computing environment for teaching | |
| - students appreciate its use (mostly) | |
| - easy to make learning more hands-on | |
| - one of the only downsides is that students loose computing-independence | |
| - using the JupyterHub of LET, built into Moodle is super easy | |
| Find all the text, figures & code for this presentation at https://tinyurl.com/LET-mauro | |
| """ |
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| using Literate | |
| Literate.notebook("LET-werder.jl", ".", credit=false, execute=false, mdstrings=true) |
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| [deps] | |
| Literate = "98b081ad-f1c9-55d3-8b20-4c87d4299306" | |
| OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed" | |
| Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80" |
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