1 Introducing pandas
This chapter covers
- The growth of data science in the 21st century
- The history of the pandas library for data analysis
- The pros and cons of pandas and its competitors
- Data analysis in Excel versus data analysis with a programming language
- A tour of the library’s features through a working example
Welcome to Pandas in Action! Pandas is a library for data analysis built on top of the Python programming language. A library (also called a package) is a collection of code for solving problems in a specific field of endeavor. Pandas is a toolbox for data manipulation operations: sorting, filtering, cleaning, deduping, aggregating, pivoting, and more. The epicenter of Python’s vast data science ecosystem, pandas pairs well with ...
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