deploy: a68ee40

_sources/docs/tutorials/tutorials.ipynb

@@ -25,7 +25,7 @@
    "source": [
     "## Math\n",
     "\n",
-    "The math module in Python offers functions for basic mathematical operations, such as trigonometry, logarithms, and constants like pi and e. It’s ideal for simple calculations without the need for more complex libraries like NumPy.\n",
+    "The math module in Python offers functions for basic mathematical operations, such as trigonometry, logarithms, and constants like pi and e. It is ideal for simple calculations without the need for more complex libraries like NumPy.\n",
     "\n",
     "* [**Math** : Python Math Module](https://www.geeksforgeeks.org/python-math-module/)"
    ]
@@ -37,7 +37,7 @@
    "source": [
     "## Matplotlib\n",
     "\n",
-    "Matplotlib is a powerful Python library for creating a wide range of static, animated, and interactive plots. It's ideal for generating visualizations like line charts, scatter plots, and histograms.\n",
+    "Matplotlib is a powerful Python library for creating a wide range of static, animated, and interactive plots. It is ideal for generating visualizations like line charts, scatter plots, and histograms.\n",
     "\n",
     "* [**Matplotlib** : Quick Start Guide](https://matplotlib.org/stable/users/explain/quick_start.html)"
    ]
@@ -109,7 +109,7 @@
    "source": [
     "## Vega-Altair\n",
     "\n",
-    "Vega-Altair is a library for creating interactive and statistical visualizations. Vega-Altair enables users to create complex charts with concise, declarative syntax. It's especially well-suited for exploratory data analysis and visualizing data directly from Pandas DataFrames, offering a wide range of chart types and easy interactivity.\n",
+    "Vega-Altair is a library for creating interactive and statistical visualizations. Vega-Altair enables users to create complex charts with concise, declarative syntax. It is especially well-suited for exploratory data analysis and visualizing data directly from Pandas DataFrames, offering a wide range of chart types and easy interactivity.\n",
     "\n",
     "* [**Vega-Altair** : User Guide](https://altair-viz.github.io/user_guide/data.html)"
    ]

_to_be_deleted_later/notebooks.html

@@ -478,7 +478,7 @@ <h2>Code blocks and outputs<a class="headerlink" href="#code-blocks-and-outputs"
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;contextlib.ExitStack at 0x7f66e0187170&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;contextlib.ExitStack at 0x7f2a78412db0&gt;
 </pre></div>
 </div>
 </div>

docs/tutorials/matplotlib.html

@@ -642,7 +642,7 @@ <h3>The explicit and the implicit interfaces<a class="headerlink" href="#the-exp
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.legend.Legend at 0x7f30ace86e40&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.legend.Legend at 0x7f78a4b5a420&gt;
 </pre></div>
 </div>
 <img alt="../../_images/153f0ed72f9b34f954b95237a29f9ddc03ded2c750bda07c9495b1139e783328.png" src="../../_images/153f0ed72f9b34f954b95237a29f9ddc03ded2c750bda07c9495b1139e783328.png" />
@@ -665,7 +665,7 @@ <h3>The explicit and the implicit interfaces<a class="headerlink" href="#the-exp
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.legend.Legend at 0x7f30aab73ce0&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.legend.Legend at 0x7f78a4b37770&gt;
 </pre></div>
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 <img alt="../../_images/153f0ed72f9b34f954b95237a29f9ddc03ded2c750bda07c9495b1139e783328.png" src="../../_images/153f0ed72f9b34f954b95237a29f9ddc03ded2c750bda07c9495b1139e783328.png" />
@@ -714,7 +714,7 @@ <h3>Making a helper functions<a class="headerlink" href="#making-a-helper-functi
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7f30aaa4b200&gt;]
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7f78a47eb7a0&gt;]
 </pre></div>
 </div>
 <img alt="../../_images/9846484914a106764e9921683f1cc4cdbe007a369708c07083a2e9f6f1f7992b.png" src="../../_images/9846484914a106764e9921683f1cc4cdbe007a369708c07083a2e9f6f1f7992b.png" />
@@ -761,7 +761,7 @@ <h3>Colors<a class="headerlink" href="#colors" title="Link to this heading">#</a
 </div>
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.PathCollection at 0x7f30aa91ba70&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.collections.PathCollection at 0x7f78a4b37380&gt;
 </pre></div>
 </div>
 <img alt="../../_images/25946dc5fd37a0285faed1023b3e3485ff2985afc433691e1d7cdb0de008198d.png" src="../../_images/25946dc5fd37a0285faed1023b3e3485ff2985afc433691e1d7cdb0de008198d.png" />
@@ -791,7 +791,7 @@ <h3>Linewidths, linestyles, and markersizes<a class="headerlink" href="#linewidt
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.legend.Legend at 0x7f30aaa79880&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.legend.Legend at 0x7f78a4733830&gt;
 </pre></div>
 </div>
 <img alt="../../_images/4a0e67124b990d31f4f1fbcbe5959791fcc636ab3742271b8050c7e9677dfe60.png" src="../../_images/4a0e67124b990d31f4f1fbcbe5959791fcc636ab3742271b8050c7e9677dfe60.png" />
@@ -898,7 +898,7 @@ <h3>Legends<a class="headerlink" href="#legends" title="Link to this heading">#<
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.legend.Legend at 0x7f30aa806db0&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;matplotlib.legend.Legend at 0x7f78a450af60&gt;
 </pre></div>
 </div>
 <img alt="../../_images/539d3f0cdf8930956c1257a8d29e59bf57b46eb3f53d941e5222766df8c1ddcf.png" src="../../_images/539d3f0cdf8930956c1257a8d29e59bf57b46eb3f53d941e5222766df8c1ddcf.png" />
@@ -936,7 +936,7 @@ <h3>Scales<a class="headerlink" href="#scales" title="Link to this heading">#</a
 </div>
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7f30aa673d10&gt;]
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x7f78a426f470&gt;]
 </pre></div>
 </div>
 <img alt="../../_images/571d864460227b151aa35842d5f0817571b6f7619eb70e5630a3066a98029053.png" src="../../_images/571d864460227b151aa35842d5f0817571b6f7619eb70e5630a3066a98029053.png" />

docs/tutorials/tutorials.html

@@ -447,14 +447,14 @@ <h1>List of Tutorials<a class="headerlink" href="#list-of-tutorials" title="Link
 <p>To help you get started, we have gathered a few that we consider to be good introductions to libraries that we personally find useful.</p>
 <section id="math">
 <h2>Math<a class="headerlink" href="#math" title="Link to this heading">#</a></h2>
-<p>The math module in Python offers functions for basic mathematical operations, such as trigonometry, logarithms, and constants like pi and e. It’s ideal for simple calculations without the need for more complex libraries like NumPy.</p>
+<p>The math module in Python offers functions for basic mathematical operations, such as trigonometry, logarithms, and constants like pi and e. It is ideal for simple calculations without the need for more complex libraries like NumPy.</p>
 <ul class="simple">
 <li><p><a class="reference external" href="https://www.geeksforgeeks.org/python-math-module/"><strong>Math</strong> : Python Math Module</a></p></li>
 </ul>
 </section>
 <section id="matplotlib">
 <h2>Matplotlib<a class="headerlink" href="#matplotlib" title="Link to this heading">#</a></h2>
-<p>Matplotlib is a powerful Python library for creating a wide range of static, animated, and interactive plots. It’s ideal for generating visualizations like line charts, scatter plots, and histograms.</p>
+<p>Matplotlib is a powerful Python library for creating a wide range of static, animated, and interactive plots. It is ideal for generating visualizations like line charts, scatter plots, and histograms.</p>
 <ul class="simple">
 <li><p><a class="reference external" href="https://matplotlib.org/stable/users/explain/quick_start.html"><strong>Matplotlib</strong> : Quick Start Guide</a></p></li>
 </ul>
@@ -496,7 +496,7 @@ <h2>Seaborn<a class="headerlink" href="#seaborn" title="Link to this heading">#<
 </section>
 <section id="vega-altair">
 <h2>Vega-Altair<a class="headerlink" href="#vega-altair" title="Link to this heading">#</a></h2>
-<p>Vega-Altair is a library for creating interactive and statistical visualizations. Vega-Altair enables users to create complex charts with concise, declarative syntax. It’s especially well-suited for exploratory data analysis and visualizing data directly from Pandas DataFrames, offering a wide range of chart types and easy interactivity.</p>
+<p>Vega-Altair is a library for creating interactive and statistical visualizations. Vega-Altair enables users to create complex charts with concise, declarative syntax. It is especially well-suited for exploratory data analysis and visualizing data directly from Pandas DataFrames, offering a wide range of chart types and easy interactivity.</p>
 <ul class="simple">
 <li><p><a class="reference external" href="https://altair-viz.github.io/user_guide/data.html"><strong>Vega-Altair</strong> : User Guide</a></p></li>
 </ul>