Data Structures for Statistical Computing in Python | Zendy

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Data Structures for Statistical Computing in Python

Author(s) -

Wes McKinney

Publication year - 2010

Publication title -

proceedings of the python in science conferences

Language(s) - English

Resource type - Conference proceedings

ISSN - 2575-9752

DOI - 10.25080/majora-92bf1922-00a

Subject(s) - python (programming language) , computer science , data science , data exploration , statistical analysis , data structure , computational statistics , theoretical computer science , data mining , software engineering , programming language , machine learning , statistics , visualization , mathematics

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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