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Introduction_to_python_2.html

@@ -446,12 +446,12 @@ <h2 data-number="3.3" class="anchored" data-anchor-id="if-statements-and-compari
 <p>If statements often use comparisons to check if a certain condition is met. Comparisons are done with comparison operators such as <code>&gt;</code>, <code>==</code>.</p>
 <p>Along with the <code>&gt;</code> and <code>==</code> comparison operators that we have already used for comparing values above, there are a few more options to know about:</p>
 <ul>
-<li>&gt;: greater than</li>
-<li>&lt;: less than</li>
-<li>==: equal to</li>
-<li>!=: does not equal</li>
-<li>&gt;=: greater than or equal to</li>
-<li>&lt;=: less than or equal to</li>
+<li><code>&gt;</code> greater than</li>
+<li><code>&lt;</code> less than</li>
+<li><code>==</code> equal to</li>
+<li><code>!=</code> does not equal</li>
+<li><code>&gt;=</code> greater than or equal to</li>
+<li><code>&lt;=</code> less than or equal to</li>
 </ul>
 <p>Let’s now play around with comparisons to see how they work in more detail.</p>
 <div id="57accc50-7e82-4541-ae47-02a198fa0606" class="cell" data-execution_count="9">

data-science-with-pandas-2.html

@@ -1948,7 +1948,7 @@ <h2 data-number="7.5" class="anchored" data-anchor-id="optional-grouping"><span
 <div id="b2f88c4f" class="cell" data-execution_count="27">
 <div class="sourceCode cell-code" id="cb40"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb40-1"><a href="#cb40-1" aria-hidden="true" tabindex="-1"></a>grouped_data.mean()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output cell-output-stderr">
-<pre><code>/tmp/ipykernel_2415/1133710423.py:1: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.
+<pre><code>/tmp/ipykernel_2439/1133710423.py:1: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.
   grouped_data.mean()</code></pre>
 </div>
 <div class="cell-output cell-output-display" data-execution_count="27">

index.html

@@ -7,7 +7,7 @@
 <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes">
 
 <meta name="author" content="Research Data Management Support Utrecht University">
-<meta name="dcterms.date" content="2024-02-21">
+<meta name="dcterms.date" content="2024-02-22">
 
 <title>Introduction to Python &amp; Data</title>
 <style>
@@ -301,7 +301,7 @@ <h1 class="title">Introduction to Python &amp; Data</h1>
     <div>
     <div class="quarto-title-meta-heading">Published</div>
     <div class="quarto-title-meta-contents">
-      <p class="date">February 21, 2024</p>
+      <p class="date">February 22, 2024</p>
     </div>
   </div>