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.