Data Structures for Statistical Computing in Python

@inproceedings{McKinney2010DataSF,
  title={Data Structures for Statistical Computing in Python},
  author={Wes McKinney},
  year={2010}
}
In this paper we are concerned with the practical issues of working with data sets common to finance, statistics, and other related fields. pandas is a new library which aims to facilitate working with these data sets and to provide a set of fundamental building blocks for implementing statistical models. We will discuss specific design issues encountered in the course of developing pandas with relevant examples and some comparisons with the R language. We conclude by discussing possible future… 

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