add merge video to README

README.md

@@ -6,10 +6,11 @@ Read about the series, and view all of the videos on one page: [Easier data anal
 
 - [Python pandas Q&A series](http://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/pandas.ipynb) (videos 1 to 30)
 - [How do I use the MultiIndex in pandas?](http://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/pandas_multiindex.ipynb) (video 31)
-- [4 new time-saving tricks in pandas](http://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/pandas_tricks.ipynb) (video 32)
-- [5 new changes in pandas you need to know about](http://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/pandas_changes.ipynb) (video 33)
-- [My top 25 pandas tricks](http://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/top_25_pandas_tricks.ipynb) (video 34)
-- [Data Science Best Practices with pandas (PyCon 2019)](https://nbviewer.jupyter.org/github/justmarkham/pycon-2019-tutorial/blob/master/tutorial.ipynb) (video 35)
+- [How do I merge DataFrames in pandas?](http://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/pandas_merge.ipynb) (video 32)
+- [4 new time-saving tricks in pandas](http://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/pandas_tricks.ipynb) (video 33)
+- [5 new changes in pandas you need to know about](http://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/pandas_changes.ipynb) (video 34)
+- [My top 25 pandas tricks](http://nbviewer.jupyter.org/github/justmarkham/pandas-videos/blob/master/top_25_pandas_tricks.ipynb) (video 35)
+- [Data Science Best Practices with pandas (PyCon 2019)](https://nbviewer.jupyter.org/github/justmarkham/pycon-2019-tutorial/blob/master/tutorial.ipynb) (video 36)
 
 ## Videos ([playlist](https://www.youtube.com/playlist?list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y))
 
@@ -44,11 +45,12 @@ Read about the series, and view all of the videos on one page: [Easier data anal
 29. [How do I create a pandas DataFrame from another object?](https://www.youtube.com/watch?v=-Ov1N1_FbP8&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=29) (14:25)
 30. [How do I apply a function to a pandas Series or DataFrame?](https://www.youtube.com/watch?v=P_q0tkYqvSk&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=30) (17:57)
 31. **Bonus:** [How do I use the MultiIndex in pandas?](https://www.youtube.com/watch?v=tcRGa2soc-c&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=31) (25:00)
-32. **Bonus:** [4 new time-saving tricks in pandas](https://www.youtube.com/watch?v=-NbY7E9hKxk&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=32) (14:50)
-33. **Bonus:** [5 new changes in pandas you need to know about](https://www.youtube.com/watch?v=te5JrSCW-LY&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=33) (20:54)
-34. **Bonus:** [My top 25 pandas tricks](https://www.youtube.com/watch?v=RlIiVeig3hc&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=34) (27:37)
-35. **Bonus:** [Data Science Best Practices with pandas (PyCon 2019)](https://www.youtube.com/watch?v=dPwLlJkSHLo&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=35) (1:44:16)
-36. **Bonus:** [Your pandas questions answered! (webcast)](https://www.youtube.com/watch?v=CWRKgBtZN18&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=36) (1:56:01)
+32. **Bonus:** [How do I merge DataFrames in pandas?](https://www.youtube.com/watch?v=iYWKfUOtGaw&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=32) (21:48)
+33. **Bonus:** [4 new time-saving tricks in pandas](https://www.youtube.com/watch?v=-NbY7E9hKxk&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=33) (14:50)
+34. **Bonus:** [5 new changes in pandas you need to know about](https://www.youtube.com/watch?v=te5JrSCW-LY&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=34) (20:54)
+35. **Bonus:** [My top 25 pandas tricks](https://www.youtube.com/watch?v=RlIiVeig3hc&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=35) (27:37)
+36. **Bonus:** [Data Science Best Practices with pandas (PyCon 2019)](https://www.youtube.com/watch?v=dPwLlJkSHLo&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=36) (1:44:16)
+37. **Bonus:** [Your pandas questions answered! (webcast)](https://www.youtube.com/watch?v=CWRKgBtZN18&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=37) (1:56:01)
 
 ## Datasets