Python for Unified Research in Econometrics and Statistics

42 Pages Posted: 4 Jul 2009

Date Written: July 4, 2009

Abstract

Python is a powerful high level open source programming language, that is available for multiple platforms. It supports object oriented programming, and has recently become a serious alternative to low level compiled languages such as C. It is easy to learn and use, and is recognized for very fast development times, which makes it suitable for rapid software prototyping as well as teaching purposes. We motivate the use of Python and its free extension modules for high performance stand alone applications in econometrics and statistics, and as a tool for gluing different applications together. We give details on the core language features, which will enable a user to immediately begin work, and then provide practical examples of advanced uses of Python. Finally, we compare the run-time performance of extended Python against a number of commonly used statistical packages and programming environments.

Keywords: Object Oriented Programming, Open Source Software, Programming Language, Python, Rapid Prototyping

JEL Classification: C6, C87, C88

Suggested Citation

Roseline, Bilina and Lawford, Steve, Python for Unified Research in Econometrics and Statistics (July 4, 2009). Available at SSRN: https://ssrn.com/abstract=1429822 or http://dx.doi.org/10.2139/ssrn.1429822

Bilina Roseline

ENAC ( email )

7 avenue Edouard Belin
BP 54005
Toulouse, Cedex 4, 31055
France

Steve Lawford (Contact Author)

ENAC

7 avenue Edouard Belin
BP 54005
Toulouse, Cedex 4, 31055
France

HOME PAGE: http://www.enac.fr

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