1. Pandas DataFrame Basics
1.1 Introduction
Pandas is an open source Python library for data analysis. It gives Python the ability to work with spreadsheet-like data for fast data loading, manipulating, aligning, and merging, among other functions. To give Python these enhanced features, Pandas introduces two new data types to Python: Series and DataFrame. The DataFrame represents your entire spreadsheet or rectangular data, whereas the Series is a single column of the DataFrame. A Pandas DataFrame can also be thought of as a dictionary or collection of Series objects.
Why should you use a programming language like Python and a tool like Pandas to work with data? It boils down to automation and reproducibility. If a particular set of analyses ...
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