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Verified Commit 7df2dd0b authored by Alexander Dunkel's avatar Alexander Dunkel
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Update readme; improve startup

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...@@ -25,15 +25,17 @@ Mobile Cartography Jupyter Lab Workshop. ...@@ -25,15 +25,17 @@ Mobile Cartography Jupyter Lab Workshop.
3. [Login to HPC][login-zih-link-barnard] 3. [Login to HPC][login-zih-link-barnard]
- You'll be requested to login using your TUD Account - You'll be requested to login using your TUD Account
4. Select `Barnard - 2 core, 3G, 4 hours` or `Romeo - 2 core, 3G, 4 hours` 4. Select `Barnard - 2 core, 3G, 4 hours` or `Romeo - 2 core, 3G, 4 hours`
4. **Click Start** to spawn a Jupyter Lab instance on the TUD ZIH Jupyter Hub. 5. **Click Start** to spawn a Jupyter Lab instance on the TUD ZIH Jupyter Hub.
- The Workshop is _not_ automatically setup in the new system yet 6. Clone the workshop files
- Once JupyterHub started, open a `Terminal` Window - Once JupyterHub started, open a new empty Python Notebook with click on the following icon:
![Startup Jupyter Hub](resources/terminal_jup.webp) ![Startup Jupyter Hub](resources/python_jup.webp)
- .. and copy &paste the following command, confirm with <kbd>Enter</kbd>: - .. and copy &paste the following command in the first cell:
```bash ```bash
cd /home/$USER && \ !cd /home/$USER && \
git clone https://gitlab.hrz.tu-chemnitz.de/tud-ifk/jupyter_python_datascience.git git clone https://gitlab.hrz.tu-chemnitz.de/tud-ifk/jupyter_python_datascience.git
``` ```
- run with <kbd>SHIFT+Enter</kbd>
![Startup Jupyter Hub](resources/clone.webp)
- this will download the workshop material to your local user folder (explorer on the left side) - this will download the workshop material to your local user folder (explorer on the left side)
- in the explorer on the left, open the file `jupyter_python_datascience/notebooks/01_raw_intro.ipynb` - in the explorer on the left, open the file `jupyter_python_datascience/notebooks/01_raw_intro.ipynb`
![Startup Jupyter Hub](resources/notebook_jup.webp) ![Startup Jupyter Hub](resources/notebook_jup.webp)
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resources/clone.webp

28.5 KiB

resources/python_jup.webp

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