Have you ever struggled to figure out the differences between apply, map, and applymap? In this video, I'll explain when you should use each of these methods and demonstrate a few common use cases. Watch the end of the video for three important announcements!

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== DATA SCHOOL VIDEO TUTORIALS ==
Data analysis with pandas (30 videos): https://www.youtube.com/playlist?list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y
Machine learning with scikit-learn (10 videos): https://www.youtube.com/playlist?list=PL5-da3qGB5ICeMbQuqbbCOQWcS6OYBr5A
Version control with Git and GitHub (11 videos): https://www.youtube.com/playlist?list=PL5-da3qGB5IBLMp7LtN8Nc3Efd4hJq0kD

== PANDAS RESOURCES ==
GitHub repository for the series: https://github.com/justmarkham/pandas-videos
Series "map" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.map.html
Series "apply" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.apply.html
DataFrame "apply" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.apply.html
DataFrame "applymap" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.applymap.html

== RELATED PANDAS VIDEOS ==
loc, iloc, and ix: https://www.youtube.com/watch?v=xvpNA7bC8cs&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=19
string methods: https://www.youtube.com/watch?v=bofaC0IckHo&list=PL5-da3qGB5ICCsgW1MxlZ0Hq8LL5U3u9y&index=12

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