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Learning pandas - Second Edition by Michael Heydt

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Summary

In this chapter, we went on a tour of the how and why of pandas, data manipulation/analysis, and science. This started with an overview of why pandas exists, what functionality it contains, and how it relates to concepts of data manipulation, analysis, and data science.

Then we covered a process for data analysis to set a framework for why certain functions exist in pandas. These include retrieving data, organizing and cleaning it up, doing exploration, and then building a formal model, presenting your findings, and being able to share and reproduce the analysis.

Next, we covered several concepts involved in data and statistical modeling. This included covering many common analysis techniques and concepts, so as to introduce you to ...

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