pandas – Pythonic cross-section, time series, and statistical analysis

Linked on May 25 at 20:55

Pandas aims to provide: a) a set of fast NumPy-based data structures optimized for panel, time series, and cross-sectional data analysis; b) a set of tools for loading such data from various sources (database, flat file / text) and providing efficient ways to persist the data; and c) a A robust statistics and econometrics library which closely integrates with the core data structures.

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