pandas added

pryn-kb · Oct 11, 2024 · ebeb7cb · ebeb7cb
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diff --git a/.DS_Store b/.DS_Store
diff --git a/_build/.doctrees/docs/tutorials/tutorials.doctree b/_build/.doctrees/docs/tutorials/tutorials.doctree
diff --git a/_build/.doctrees/environment.pickle b/_build/.doctrees/environment.pickle
diff --git a/_build/html/_sources/docs/tutorials/tutorials.ipynb b/_build/html/_sources/docs/tutorials/tutorials.ipynb
@@ -54,6 +54,18 @@
     "* [**NumPy** : The Absolute Basics for Beginners](https://numpy.org/doc/stable/user/absolute_beginners.html)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "d14eeb0f-27bb-4199-8493-588c5d4b655f",
+   "metadata": {},
+   "source": [
+    "## 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)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "2309e859-835b-417f-9a47-22dd250f19f8",

diff --git a/_build/html/docs/tutorials/tutorials.html b/_build/html/docs/tutorials/tutorials.html
@@ -423,6 +423,7 @@ <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>
@@ -463,6 +464,13 @@ <h2>Numpy<a class="headerlink" href="#numpy" title="Link to this heading">#</a><
 <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>
+</section>
 <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>
@@ -551,6 +559,7 @@ <h2>Vega-Altair<a class="headerlink" href="#vega-altair" title="Link to this hea
 <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>

diff --git a/_build/html/searchindex.js b/_build/html/searchindex.js
diff --git a/_build/jupyter_execute/docs/tutorials/tutorials.ipynb b/_build/jupyter_execute/docs/tutorials/tutorials.ipynb
@@ -54,6 +54,18 @@
     "* [**NumPy** : The Absolute Basics for Beginners](https://numpy.org/doc/stable/user/absolute_beginners.html)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "d14eeb0f-27bb-4199-8493-588c5d4b655f",
+   "metadata": {},
+   "source": [
+    "## 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)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "2309e859-835b-417f-9a47-22dd250f19f8",

diff --git a/docs/tutorials/.ipynb_checkpoints/tutorials-checkpoint.ipynb b/docs/tutorials/.ipynb_checkpoints/tutorials-checkpoint.ipynb
@@ -54,6 +54,18 @@
     "* [**NumPy** : The Absolute Basics for Beginners](https://numpy.org/doc/stable/user/absolute_beginners.html)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "d14eeb0f-27bb-4199-8493-588c5d4b655f",
+   "metadata": {},
+   "source": [
+    "## 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)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "2309e859-835b-417f-9a47-22dd250f19f8",

diff --git a/docs/tutorials/tutorials.ipynb b/docs/tutorials/tutorials.ipynb
@@ -54,6 +54,18 @@
     "* [**NumPy** : The Absolute Basics for Beginners](https://numpy.org/doc/stable/user/absolute_beginners.html)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "d14eeb0f-27bb-4199-8493-588c5d4b655f",
+   "metadata": {},
+   "source": [
+    "## 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)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "2309e859-835b-417f-9a47-22dd250f19f8",