Data Structures for Statistical Computing in Python

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McKinney, Wes·2010·Proceedings of the Python in Science Conference

DOI 10.25080/majora-92bf1922-00a

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Abstract

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 directions for statistical computing and data analysis using Python.

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Authors: McKinney, W.
Venue: Proceedings of the Python in Science Conference
Publisher: SciPy
Published: 2010
Pages: 56-61
ISSN: 2575-9752 (ISSN-L)
DOI: 10.25080/majora-92bf1922-00a
OpenAlex: W2342249984
Cited by: 11,032
References: 0
FWCI: 0.26
Type: conference paper
Language: en
Open access: hybrid

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Data Structures for Statistical Computing in Python

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