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fragandi merged 1 commit into from
Jun 26, 2025
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added info about Google Colab #9

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23 changes: 22 additions & 1 deletion source/ch-jupyter.ptx
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Expand Up @@ -24,11 +24,32 @@ sharing with other people.
<p>
Jupyter is a popular open-source tool used in
data science, scientific computing, and computational journalism.
GitHub provides a Codespace ready for running Jupyter notebooks
Various online platforms allow you to create, edit, and share Jupyter notebooks.
If you have a Google account, Google Colab allows you to easily create
Jupyter notebooks that are stored in your Google Drive:
<url href="https://colab.research.google.com/"/>.
Of course, you can also create Jupyter notebooks using GitHub,
which provides a Codespace ready for running Jupyter notebooks
out of the box:
<url href="https://github.com/github/codespaces-jupyter/"/>.
</p>
</section>
<section xml:id="sec-google-colab">
<title>Jupyter Notebooks on Google Colab</title>
<p>
To get started with Google Colab, go to <url href="https://colab.research.google.com/"/>.
You should see a welcome screen that allows you to create a new notebook,
open an example notebook, or load a notebook from Google Drive or GitHub.
</p>
<p>
You may open <url href="https://colab.research.google.com/drive/1xTAUoxWmz1pWdGVuCMP5UYZkN_ASToqr?usp=sharing">this sample notebook</url> in Google Colab.
This notebook provides a Python simulation of the famous <em>birthday problem</em>.
Observe that the notebook contains both Markdown cells and code cells, as described in <xref ref="sec-cells"/>.
To run a code cell, first click in the cell, then either click the "play" symbol at the left of the cell or press SHIFT-ENTER.
The first time you run a code cell, Colab will start a Python runtime environment
(a <em>kernel</em>, as described in <xref ref="sec-jupyter-kernel"/>), which only takes a few seconds to start up.
</p>
</section>
<section xml:id="sec-github-codespaces-jupyter">
<title>GitHub's Jupyter Codespace</title>
<p>
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