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pryn-kb committed Oct 11, 2024
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12 changes: 12 additions & 0 deletions _sources/docs/tutorials/tutorials.ipynb
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"* [**NumPy** : The Absolute Basics for Beginners](https://numpy.org/doc/stable/user/absolute_beginners.html)"
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"## Pandas\n",
"\n",
"Pandas is a Python library for data manipulation and analysis. It provides easy-to-use data structures like DataFrames and Series, making it ideal for handling and analyzing structured data.\n",
"\n",
"* [**Pandas** : Getting Started Tutorials](https://pandas.pydata.org/docs/getting_started/intro_tutorials/index.html)"
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2 changes: 1 addition & 1 deletion _to_be_deleted_later/notebooks.html
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Expand Up @@ -478,7 +478,7 @@ <h2>Code blocks and outputs<a class="headerlink" href="#code-blocks-and-outputs"
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14 changes: 7 additions & 7 deletions docs/tutorials/matplotlib.html
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Expand Up @@ -642,7 +642,7 @@ <h3>The explicit and the implicit interfaces<a class="headerlink" href="#the-exp
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9 changes: 9 additions & 0 deletions docs/tutorials/tutorials.html
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Expand Up @@ -425,6 +425,7 @@ <h2> Contents </h2>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#math">Math</a></li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#matplotlib">Matplotlib</a></li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#numpy">Numpy</a></li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#pandas">Pandas</a></li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#scikit-learn">Scikit-Learn</a></li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#scipy">SciPy</a></li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#seaborn">Seaborn</a></li>
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<li><p><a class="reference external" href="https://numpy.org/doc/stable/user/absolute_beginners.html"><strong>NumPy</strong> : The Absolute Basics for Beginners</a></p></li>
</ul>
</section>
<section id="pandas">
<h2>Pandas<a class="headerlink" href="#pandas" title="Link to this heading">#</a></h2>
<p>Pandas is a Python library for data manipulation and analysis. It provides easy-to-use data structures like DataFrames and Series, making it ideal for handling and analyzing structured data.</p>
<ul class="simple">
<li><p><a class="reference external" href="https://pandas.pydata.org/docs/getting_started/intro_tutorials/index.html"><strong>Pandas</strong> : Getting Started Tutorials</a></p></li>
</ul>
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<section id="scikit-learn">
<h2>Scikit-Learn<a class="headerlink" href="#scikit-learn" title="Link to this heading">#</a></h2>
<p>A bit more advanced but essential for machine learning in Python, Scikit-Learn provides simple and efficient tools for data mining and analysis, including classification, regression, and clustering algorithms.</p>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#math">Math</a></li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#matplotlib">Matplotlib</a></li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#numpy">Numpy</a></li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#pandas">Pandas</a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#scipy">SciPy</a></li>
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#seaborn">Seaborn</a></li>
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