Replace bio abbreviations; make value_counts() examples consistent

stefmolin · Nov 5, 2024 · 7afc723 · 7afc723
1 parent e0ab7d0
commit 7afc723
Show file tree

Hide file tree

Showing 4 changed files with 7 additions and 7 deletions.
diff --git 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
@@ -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
@@ -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
@@ -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>
-Original file line number
+Diff line change
@@ Expand Up / @@ -2269,7 +2269,7 @@ @@
         }
        ],
        "source": [
-        "df.value_counts(subset=['nametype', 'fall'], normalize=True)"
+        "meteorites.value_counts(subset=['nametype', 'fall'], normalize=True)"
        ]
       },
       {
@@ Expand Down @@