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4 new time-saving tricks in pandas

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:    • Data analysis in Python with pandas   Working with dates and times:    • How do I work with dates and times in...   Using the category data type:    • How do I make my pandas DataFrame sma...   Changing data types:    • How do I change the data type of a pa...   Using groupby:    • When should I use a "groupby" in pandas?   == OTHER RESOURCES == Jupyter notebook on GitHub: https://github.com/justmarkham/pandas... pandas release notes: http://pandas.pydata.org/pandas-docs/... pandas cheat sheet: https://github.com/pandas-dev/pandas/... == JOIN DATA SCHOOL == YouTube: https://www.youtube.com/dataschool?su... Newsletter: http://www.dataschool.io/subscribe/ Blog: http://www.dataschool.io/ Patreon:   / dataschool