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Do you ever find yourself trying to answer a simple question that requires munging and analyzing a large dataset?

Pandas can help! It is a Python library that provides high-performance data structures and analysis tools and is becoming an essential component to Python data workflows. This tutorial will cover some of the basic features of the Pandas library such as tools for reading and writing data, handling alignment and missing values, flexible reshaping and slicing, and the essential data structures: the data frame and time series.

Hope you can make it!


I have been running behind on posting examples. I apologize for that. You can find all of the material we have covered so far in our git hub repository.