Python(编程语言)
计算机科学
数据科学
数据探索
统计分析
计算统计学
数据结构
理论计算机科学
数据挖掘
程序设计语言
机器学习
统计
数学
可视化
出处
期刊:Proceedings of the Python in Science Conferences
日期:2010-01-01
被引量:7375
标识
DOI:10.25080/majora-92bf1922-00a
摘要
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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