In the last 20 months, the pandas library has been updated 10 times, introducing hundreds of new features, bug fixes, and API changes. In this video, I'll show you 4 new pandas tricks that will make your life easier!

1:18 Create a datetime column from a DataFrame
4:24 Create a category column during file reading
7:45 Convert the data type of multiple columns at once
9:48 Apply multiple aggregations on a Series or DataFrame
13:14 Bonus: Download the official pandas cheat sheet

== RELATED VIDEOS ==
My entire pandas video series: https://www.youtube.com/playlist?list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y
Working with dates and times: https://www.youtube.com/watch?v=yCgJGsg0Xa4&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=25
Using the category data type: https://www.youtube.com/watch?v=wDYDYGyN_cw&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=21
Changing data types: https://www.youtube.com/watch?v=V0AWyzVMf54&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=13
Using groupby: https://www.youtube.com/watch?v=qy0fDqoMJx8&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=14

== OTHER RESOURCES ==
Jupyter notebook on GitHub: https://github.com/justmarkham/pandas-videos
pandas release notes: http://pandas.pydata.org/pandas-docs/stable/whatsnew.html
pandas cheat sheet: https://github.com/pandas-dev/pandas/blob/master/doc/cheatsheet/Pandas_Cheat_Sheet.pdf

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