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<body>
<section id="pruebas-con-python" class="cell markdown">
<h1>Pruebas con python</h1>
</section>
<section id="hola-mundo" class="cell markdown">
<h2>Hola mundo</h2>
<p>El primer codigo que se crea cuando se aprende lenguaje de programación es <code>Hello World</code>. Lo hago con <code>print()</code></p>
</section>
<div class="cell code" data-execution_count="9">
<div class="sourceCode" id="cb1"><pre class="sourceCode python"><code class="sourceCode python"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="bu">print</span>(<span class="st">"¡hola!"</span>)</span></code></pre></div>
<div class="output stream stdout">
<pre><code>¡hola!
</code></pre>
</div>
</div>
<section id="primeros-pasos-con-jupyter" class="cell markdown">
<h2>Primeros pasos con Jupyter</h2>
<ul>
<li>Presionamos la tecla B y así creamos una nueva celda</li>
</ul>
</section>
<section id="operaciones-aritméticas" class="cell markdown">
<h2>Operaciones aritméticas</h2>
</section>
<div class="cell code" data-execution_count="2">
<div class="sourceCode" id="cb3"><pre class="sourceCode python"><code class="sourceCode python"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a>a <span class="op">=</span> <span class="dv">3</span></span>
<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a>x <span class="op">=</span> <span class="dv">7</span></span>
<span id="cb3-3"><a href="#cb3-3" aria-hidden="true" tabindex="-1"></a>a <span class="op">+</span> x</span></code></pre></div>
<div class="output execute_result" data-execution_count="2">
<pre><code>10</code></pre>
</div>
</div>
<div class="cell code" data-execution_count="3">
<div class="sourceCode" id="cb5"><pre class="sourceCode python"><code class="sourceCode python"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a>a <span class="op">=</span> <span class="dv">8</span></span>
<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a>a <span class="op">+</span> x</span></code></pre></div>
<div class="output execute_result" data-execution_count="3">
<pre><code>15</code></pre>
</div>
</div>
<section id="ejemplo-gráfico-de-densidad" class="cell markdown">
<h1>Ejemplo: gráfico de densidad</h1>
</section>
<div class="cell markdown">
<p>Instalamos la librería de datos seaborn, nos permite visualizar y dotar de una interfaz el gráfico a ilustrar</p>
</div>
<div class="cell code" data-execution_count="4">
<div class="sourceCode" id="cb7"><pre class="sourceCode python"><code class="sourceCode python"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a><span class="op">!</span>pip install seaborn</span></code></pre></div>
<div class="output stream stdout">
<pre><code>Requirement already satisfied: seaborn in ./.local/lib/python3.8/site-packages (0.11.2)
Requirement already satisfied: pandas>=0.23 in /usr/local/lib/python3.8/dist-packages (from seaborn) (1.3.1)
Requirement already satisfied: numpy>=1.15 in /usr/local/lib/python3.8/dist-packages (from seaborn) (1.21.1)
Requirement already satisfied: scipy>=1.0 in /usr/local/lib/python3.8/dist-packages (from seaborn) (1.7.0)
Requirement already satisfied: matplotlib>=2.2 in /usr/local/lib/python3.8/dist-packages (from seaborn) (3.3.2)
Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.8/dist-packages (from pandas>=0.23->seaborn) (2020.4)
Requirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.8/dist-packages (from pandas>=0.23->seaborn) (2.8.1)
Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /usr/local/lib/python3.8/dist-packages (from matplotlib>=2.2->seaborn) (2.4.7)
Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.8/dist-packages (from matplotlib>=2.2->seaborn) (8.0.1)
Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.8/dist-packages (from matplotlib>=2.2->seaborn) (1.3.1)
Requirement already satisfied: certifi>=2020.06.20 in /usr/local/lib/python3.8/dist-packages (from matplotlib>=2.2->seaborn) (2020.6.20)
Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.8/dist-packages (from matplotlib>=2.2->seaborn) (0.10.0)
Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil>=2.7.3->pandas>=0.23->seaborn) (1.14.0)
</code></pre>
</div>
</div>
<div class="cell markdown">
<p>Nos descargarmos seaborn que tiene una interfaz para mostrar los datos, creamos una <strong>dataframe (df)</strong></p>
<p>Importamos seaborn como sns para cargar los datos del <strong>archivo iris</strong></p>
<p>Hacemos que el dataframe sea igual a la visualización de los datos de iris utilizando seaborn, previamente importado como <strong>sns</strong></p>
<p>Hacemos que nos muestre el df con la linea de texto: sns.kdeplot (df["sepal_width"]) teniendo en cuenta la variable que queremos mostrar en la x del gráfico: sepal width</p>
</div>
<div class="cell code" data-execution_count="6">
<div class="sourceCode" id="cb9"><pre class="sourceCode python"><code class="sourceCode python"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a><span class="co"># library & dataset</span></span>
<span id="cb9-2"><a href="#cb9-2" aria-hidden="true" tabindex="-1"></a><span class="im">import</span> seaborn <span class="im">as</span> sns</span>
<span id="cb9-3"><a href="#cb9-3" aria-hidden="true" tabindex="-1"></a>df <span class="op">=</span> sns.load_dataset(<span class="st">'iris'</span>)</span>
<span id="cb9-4"><a href="#cb9-4" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb9-5"><a href="#cb9-5" aria-hidden="true" tabindex="-1"></a><span class="co"># Make default density plot</span></span>
<span id="cb9-6"><a href="#cb9-6" aria-hidden="true" tabindex="-1"></a>sns.kdeplot(df[<span class="st">'sepal_width'</span>])</span>
<span id="cb9-7"><a href="#cb9-7" aria-hidden="true" tabindex="-1"></a></span></code></pre></div>
<div class="output execute_result" data-execution_count="6">
<pre><code><AxesSubplot:xlabel='sepal_width', ylabel='Density'></code></pre>
</div>
<div class="output display_data">
<p><img src="vertopal_8b8cc0fbc0c4478f9dc2315129e0d5e5/5530e567253c118c449ef570ac2236c68a7504ab.png" /></p>
</div>
</div>
<div class="cell markdown">
<p>Hacemos pwd para conocer en que directorio estamos para guardar el archivo</p>
</div>
<div class="cell code" data-execution_count="7">
<div class="sourceCode" id="cb11"><pre class="sourceCode python"><code class="sourceCode python"><span id="cb11-1"><a href="#cb11-1" aria-hidden="true" tabindex="-1"></a>pwd</span></code></pre></div>
<div class="output execute_result" data-execution_count="7">
<pre><code>'/home/[email protected]'</code></pre>
</div>
</div>
</body>
</html>