Pandas Under The Hood
Pandas Under The Hood
Peeking behind the scenes of a high performance data analysis library
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July 25, 2015 | Jeff Tratner (@jtratner)
Pandas - large, well-established project.
Overview
Intro Data in Python Background
Indexing Getting and Storing Data Fast Grouping / Factorizing
Summary
Overview
Intro Data in Python Background
Indexing Getting and Storing Data Fast Grouping / Factorizing
Summary
Pandas - huge code base
200K lines of code Depends on many other libraries Goal: orient towards key internal concepts
Open Hub - Py-Pandas
Pandas community rocks!
Created by Wes McKinney, now maintained by Jeff Reback and many others
Really open to small contributors Many friendly and supportive maintainers Go contribute!
Pandas provides a flexible API for data
DataFrame - 2D container for labeled data
Read data (read_csv, read_excel, read_hdf, read_sql, etc)
Write data (df.to_csv(), df. to_excel())
Select, filter, transform data Big emphasis on labeled data Works really nicely with other
python data analysis libraries
Overview
Intro Data in Python Background
Indexing Getting and Storing Data Fast Grouping / Factorizing
Summary
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