From 7afc723efa303952e7f64a812a1240e0176d5d3f Mon Sep 17 00:00:00 2001
From: Stefanie Molin <24376333+stefmolin@users.noreply.github.com>
Date: Tue, 5 Nov 2024 21:39:08 +0000
Subject: [PATCH] Replace bio abbreviations; make value_counts() examples
 consistent

---
 notebooks/1-getting_started_with_pandas.ipynb | 2 +-
 slides/0-introduction.ipynb                   | 4 ++--
 slides/1-getting_started_with_pandas.ipynb    | 2 +-
 slides/html/workshop.slides.html              | 6 +++---
 4 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/notebooks/1-getting_started_with_pandas.ipynb b/notebooks/1-getting_started_with_pandas.ipynb
index d390b97..b89d6ce 100644
--- a/notebooks/1-getting_started_with_pandas.ipynb
+++ b/notebooks/1-getting_started_with_pandas.ipynb
@@ -2269,7 +2269,7 @@
     }
    ],
    "source": [
-    "df.value_counts(subset=['nametype', 'fall'], normalize=True)"
+    "meteorites.value_counts(subset=['nametype', 'fall'], normalize=True)"
    ]
   },
   {
diff --git a/slides/0-introduction.ipynb b/slides/0-introduction.ipynb
index ddb2592..756e3de 100644
--- a/slides/0-introduction.ipynb
+++ b/slides/0-introduction.ipynb
@@ -51,8 +51,8 @@
     "- 👩‍💻 Software engineer at Bloomberg in NYC\n",
     "- 🚀 Core developer of [numpydoc](https://github.com/numpy/numpydoc)\n",
     "- ✍️ Author of [Hands-On Data Analysis with Pandas](https://www.amazon.com/Hands-Data-Analysis-Pandas-visualization-dp-1800563450/dp/1800563450/) (currently in its second edition; translated into Korean and Simplified Chinese)\n",
-    "- 🎓 BS in operations research from Columbia University\n",
-    "- 🎓 MS in computer science (ML specialization) from Georgia Tech"
+    "- 🎓 Bachelor's in operations research from Columbia University\n",
+    "- 🎓 Master's in computer science (ML specialization) from Georgia Tech"
    ]
   },
   {
diff --git a/slides/1-getting_started_with_pandas.ipynb b/slides/1-getting_started_with_pandas.ipynb
index ea93a8a..d25f754 100644
--- a/slides/1-getting_started_with_pandas.ipynb
+++ b/slides/1-getting_started_with_pandas.ipynb
@@ -2654,7 +2654,7 @@
     }
    ],
    "source": [
-    "df.value_counts(subset=['nametype', 'fall'], normalize=True)"
+    "meteorites.value_counts(subset=['nametype', 'fall'], normalize=True)"
    ]
   },
   {
diff --git a/slides/html/workshop.slides.html b/slides/html/workshop.slides.html
index 8bd6477..72ca28f 100644
--- a/slides/html/workshop.slides.html
+++ b/slides/html/workshop.slides.html
@@ -7540,8 +7540,8 @@ <h2 id="Bio">Bio<a class="anchor-link" href="#Bio">¶</a></h2><ul>
 <li>👩‍💻 Software engineer at Bloomberg in NYC</li>
 <li>🚀 Core developer of <a href="https://github.com/numpy/numpydoc">numpydoc</a></li>
 <li>✍️ Author of <a href="https://www.amazon.com/Hands-Data-Analysis-Pandas-visualization-dp-1800563450/dp/1800563450/">Hands-On Data Analysis with Pandas</a> (currently in its second edition; translated into Korean and Simplified Chinese)</li>
-<li>🎓 BS in operations research from Columbia University</li>
-<li>🎓 MS in computer science (ML specialization) from Georgia Tech</li>
+<li>🎓 Bachelor's in operations research from Columbia University</li>
+<li>🎓 Master's in computer science (ML specialization) from Georgia Tech</li>
 </ul>
 </div>
 </div>
@@ -9801,7 +9801,7 @@ <h4 id="How-many-of-the-meteorites-were-found-versus-observed-falling?">How many
 <div class="jp-InputPrompt jp-InputArea-prompt">In [25]:</div>
 <div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
 <div class="cm-editor cm-s-jupyter">
-<div class="highlight hl-ipython3"><pre><span></span><span class="n">df</span><span class="o">.</span><span class="n">value_counts</span><span class="p">(</span><span class="n">subset</span><span class="o">=</span><span class="p">[</span><span class="s1">'nametype'</span><span class="p">,</span> <span class="s1">'fall'</span><span class="p">],</span> <span class="n">normalize</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">meteorites</span><span class="o">.</span><span class="n">value_counts</span><span class="p">(</span><span class="n">subset</span><span class="o">=</span><span class="p">[</span><span class="s1">'nametype'</span><span class="p">,</span> <span class="s1">'fall'</span><span class="p">],</span> <span class="n">normalize</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
 </pre></div>
 </div>
 </div>