Python Data Visualization Transcripts
Chapter: Pandas
Lecture: Pandas overview
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Let's talk a little bit about pandas. Most of you should know that pandas is a very fast powerful library built on top
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of python, that you are going to use for the majority of your data manipulation and
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analysis, tests and pandas has a lot of features that support this type of work It has a fast and efficient data frame.
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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.
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And so while you're using pandas and analyzing working with your data,
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it's important to understand those visualization capabilities that are built in and you can use those
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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.