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Merge pull request #105 from ricj/master
Trying to fix Markdown rendering bug.
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_pages/dat450/assignment1.md

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@@ -80,20 +80,20 @@ Note that GPUs cannot be accessed from the JupyterHub notebooks, so you must sub
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<div style="margin-left: 10px; border-radius: 4px; background: #ddfff0; border: 1px solid black; padding: 5px;">
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<ul>
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<li>Read about <a href="https://git.chalmers.se/karppa/minerva/-/blob/main/README.md?ref_type=heads#jupyterhub">Minerva's JupyterHub</a></li>
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<li>To make the course's Python environment available in notebooks, take the following steps:</li>
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<li>To make the course's Python environment available in notebooks, take the following steps:
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<ol>
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<li>Log in on Minerva and activate the course environment.</li>
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<li>Enter <code>python -m ipykernel install --user --name DAT450_venv --display-name "Python (DAT450_venv)"</code></li>
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<li>If JupyterHub is running, restart it. Otherwise, start it now.</li>
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<li>In the Launcher, you should now see an option called <code>Python (DAT450_venv)</code>.</li>
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<li>If you create a notebook, you should be able to import libraries needed for the assignment, e.g. <code>import transformers</code></li>
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</ol></li>
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</ol>
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</li>
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<li>If you keep your code in a Python file copied from <tt>A1_skeleton.py</tt>, then add the following somewhere in your notebook:
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<pre>%load_ext autoreload
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%autoreload 2
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import your_a1_solution</pre>
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By enabling auto-reloading, you won't have to restart the notebook every time you update the code in the Python file. Note that auto-reloading in notebooks does not work if you do <code>from your_a1_solution import ...</code>.
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</li>
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</div>
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</details>

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