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<h1 class="site-logo" id="site-title">Astronomical Data in Python</h1>
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Astronomical Data in Python
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Queries
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Coordinates and units
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Chapter 3
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Chapter 4
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Chapter 5
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Chapter 6
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Chapter 7
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Introduction to Jupyter
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<ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry">
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Selecting and running cells
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</a>
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</li>
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<li class="toc-h3 nav-item toc-entry">
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<a class="reference internal nav-link" href="#adding-and-removing-cells">
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Adding and removing cells
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</a>
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<li class="toc-h2 nav-item toc-entry">
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Check your installation
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</a>
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<a class="reference internal nav-link" href="#check-for-code-pasting-problems">
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Check for code-pasting problems
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<div>
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<div class="section" id="data-carpentry-astronomy-workshop">
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<h1>Data Carpentry Astronomy Workshop<a class="headerlink" href="#data-carpentry-astronomy-workshop" title="Permalink to this headline">¶</a></h1>
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<p>Please run this notebook before the workshop. There are three sections:</p>
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<ol class="simple">
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<li><p>A short introduction to Jupyter, with pointers to more resources.</p></li>
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<li><p><code class="docutils literal notranslate"><span class="pre">import</span></code> statements to check whether you have everything installed that we need.</p></li>
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<li><p>A cell where you will paste a line of code you copy from Slack, to check for a potential problem with “smart” quotes.</p></li>
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</ol>
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<div class="section" id="introduction-to-jupyter">
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<h2>Introduction to Jupyter<a class="headerlink" href="#introduction-to-jupyter" title="Permalink to this headline">¶</a></h2>
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<p>This is a Jupyter notebook, which is a computational document that contains text, code, and results.</p>
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<p>There are several development environments you can use to work with notebooks. Currently the two most common are:</p>
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<ul class="simple">
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<li><p>Jupyter Classic Notebook, and</p></li>
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<li><p>JupyterLab, which is a newer environment with some improved features, but also some limitations.</p></li>
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</ul>
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<p>During the workshop, we will use the Classic Notebook environment. If you are new to Jupyter, we suggest you should, too.</p>
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<p>If you are familiar with JupyterLab and you would rather use it for the workshop, that’s fine. Just be aware that there will be differences between your environment and ours.</p>
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<p>If you are new to Jupyter, you can <a class="reference external" href="https://jupyter.org/try">read about it here</a> and follow the tutorial called “Try Classic Notebook”.</p>
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<p>You also might like <a class="reference external" href="https://www.dataquest.io/blog/jupyter-notebook-tutorial/">this tutorial from DataQuest</a>.</p>
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<p>The following sections introduce the features you will need for the workshop.</p>
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<div class="section" id="selecting-and-running-cells">
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<h3>Selecting and running cells<a class="headerlink" href="#selecting-and-running-cells" title="Permalink to this headline">¶</a></h3>
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<p>Notebooks are divided into cells that contain either text or code.</p>
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<p>This cell is text; the following cell is code:</p>
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<div class="cell docutils container">
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<div class="cell_input docutils container">
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<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s1">'Hello'</span><span class="p">)</span>
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</pre></div>
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</div>
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</div>
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</div>
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<p>To select a cell, click in the left margin next to the cell. You should see a blue frame surrounding the selected cell.</p>
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<p>To edit a code cell, click inside the cell. You should see a green frame around the selected cell, and you should see a cursor inside the cell.</p>
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<p>To edit a text cell, double-click inside the cell. Again, you should see a green frame around the selected cell, and you should see a cursor inside the cell.</p>
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<p>Text cells use the Markdown typesetting language, which <a class="reference external" href="https://www.markdownguide.org/">you can read about here</a>.</p>
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<p>To run a cell, hold down Shift and press Enter.</p>
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<ul class="simple">
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<li><p>If you run a text cell, Jupyter formats the text and displays the result.</p></li>
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<li><p>If you run a code cell, Jupyter runs the code in the cell and displays the result, if any.</p></li>
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</ul>
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<p>To try it out, select the previous code cell and press Shift-Enter. It should run the code and print <code class="docutils literal notranslate"><span class="pre">Hello</span></code>.</p>
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<p>Then edit this cell, change some of the text, and press Shift-Enter to format it.</p>
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</div>
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<div class="section" id="adding-and-removing-cells">
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<h3>Adding and removing cells<a class="headerlink" href="#adding-and-removing-cells" title="Permalink to this headline">¶</a></h3>
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<p>You can add and remove cells from a notebook using the menu at the top of the page and the tool bar below the menu.</p>
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<p>Try the following exercises:</p>
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<ol class="simple">
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<li><p>From the Insert menu select “Insert cell below” to add a cell below this one. By default, you get a code cell, as you can see in the pull-down menu that says “Code”.</p></li>
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<li><p>In the new cell, add a line of Python code and run it.</p></li>
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<li><p>Add another cell, select the new cell, and then click on the pull-down menu that says “Code”. Select “Markdown”. This makes the new cell a text cell.</p></li>
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<li><p>In the new cell, type some text and format it.</p></li>
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<li><p>Use the arrow buttons in the tool bar to move cells up and down.</p></li>
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<li><p>Use the cut, copy, and paste buttons to delete, add, and move cells.</p></li>
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</ol>
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<p>As you make changes, Jupyter saves your notebook automatically, but if you want to make sure, you can press the save button, which looks like a floppy disk from the 1990s.</p>
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<p>Finally, when you are done with a notebook, select “Close and Halt” from the File menu.</p>
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</div>
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</div>
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<div class="section" id="check-your-installation">
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<h2>Check your installation<a class="headerlink" href="#check-your-installation" title="Permalink to this headline">¶</a></h2>
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<p>Run the following cells to import the libraries we need for the workshop.</p>
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<p>If any of the libraries are missing, you’ll get an error message.</p>
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<p>If you don’t get any error messages, you are all set.</p>
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<div class="cell docutils container">
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||
<div class="cell_input docutils container">
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||
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">wget</span> <span class="kn">import</span> <span class="n">download</span>
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</pre></div>
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</div>
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</div>
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</div>
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<div class="cell docutils container">
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<div class="cell_input docutils container">
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<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
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<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
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</pre></div>
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</div>
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</div>
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</div>
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<p>Let’s make sure you have a recent version of Pandas.</p>
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<p>If the following cell causes an error, you probably have an old version of Pandas. Please update it before the workshop.</p>
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<div class="cell docutils container">
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<div class="cell_input docutils container">
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<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">pd</span><span class="o">.</span><span class="n">Series</span><span class="p">([</span><span class="mi">0</span><span class="p">])</span><span class="o">.</span><span class="n">to_numpy</span><span class="p">()</span>
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</pre></div>
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</div>
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</div>
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</div>
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<div class="cell docutils container">
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<div class="cell_input docutils container">
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<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib</span> <span class="k">as</span> <span class="nn">mpl</span>
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<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
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<span class="kn">from</span> <span class="nn">matplotlib.path</span> <span class="kn">import</span> <span class="n">Path</span>
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<span class="kn">from</span> <span class="nn">matplotlib.patches</span> <span class="kn">import</span> <span class="n">Polygon</span>
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</pre></div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<div class="cell docutils container">
|
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<div class="cell_input docutils container">
|
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<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">astropy.coordinates</span> <span class="k">as</span> <span class="nn">coord</span>
|
||
<span class="kn">import</span> <span class="nn">astropy.units</span> <span class="k">as</span> <span class="nn">u</span>
|
||
<span class="kn">from</span> <span class="nn">astropy.table</span> <span class="kn">import</span> <span class="n">Table</span>
|
||
</pre></div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<div class="cell docutils container">
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<div class="cell_input docutils container">
|
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<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">gala.coordinates</span> <span class="k">as</span> <span class="nn">gc</span>
|
||
</pre></div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<div class="cell docutils container">
|
||
<div class="cell_input docutils container">
|
||
<div class="highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># Note: running this import statement opens a connection</span>
|
||
<span class="c1"># to a Gaia server, so it will fail if you are not connected</span>
|
||
<span class="c1"># to the internet.</span>
|
||
|
||
<span class="kn">from</span> <span class="nn">astroquery.gaia</span> <span class="kn">import</span> <span class="n">Gaia</span>
|
||
</pre></div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<div class="section" id="check-for-code-pasting-problems">
|
||
<h2>Check for code-pasting problems<a class="headerlink" href="#check-for-code-pasting-problems" title="Permalink to this headline">¶</a></h2>
|
||
<p>During the workshop, we might put code on Slack and ask you to cut and paste it into the notebook.</p>
|
||
<p>If you are on a Mac, you might encounter a problem with smart quotes.</p>
|
||
<p>To check, following this link to <a class="reference external" href="https://app.slack.com/client/T01GF8N96TD/C01G8AS0QBG/details/pins">our Slack workspace</a> and find the pinned message with the setup instructions.
|
||
It contains a line of Python code.</p>
|
||
<p>Copy the code from Slack and paste it in the cell below.
|
||
If it runs without producing an error, you are all set.</p>
|
||
<p>Otherwise, you might have to change your system settings so it does not convert straight quotes to smart quotes.
|
||
If you have trouble with this, let us know and we will provide more details.</p>
|
||
</div>
|
||
</div>
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