Python Data Visualization Transcripts
Chapter: Pandas
Lecture: Pandas overview

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0:00 Let's talk a little bit about pandas. Most of you should know that pandas is a very fast powerful library built on top
0:08 of python, that you are going to use for the majority of your data manipulation and
0:14 analysis, tests and pandas has a lot of features that support this type of work It has a fast and efficient data frame.
0:22 You can read and write data in many formats can pivot and group data. And one of the things that panda supports is plotting capabilities.
0:31 And so while you're using pandas and analyzing working with your data,
0:36 it's important to understand those visualization capabilities that are built in and you can use those
0:42 very effectively. And then we'll talk about when you might outgrow that and need to use other tools for more complex or interactive visualizations.

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