Data analysis in Python with pandas - 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: 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 == JOIN DATA SCHOOL == YouTube: https://www.youtube.com/dataschool?sub_confirmation=1 Newsletter: http://www.dataschool.io/subscribe/ Blog: http://www.dataschool.io/ Patreon: https://www.patreon.com/dataschool