Comparative evaluation of performance-boosting tools for Python

Authors:
Jakub Swacha
Affiliations:
Institute of Informatics Technology in Management, University of Szczecin, Mickiewicza 64,71-101 Szczecin
Venue:
Annales UMCS, Informatica
Year:
2011

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Abstract

The Python programming language has a number of advantages, such as simple and clear syntax, concise and readable code, and open source implementation with a lot of extensions available, that makes it a great tool for teaching programming to students. Unfortunately, Python, as a very high level interpreted programming language, is relatively slow, which becomes a nuisance when executing computationally intensive programs. There is, however, a number of tools aimed at speeding-up execution of programs written in Python, such as Just-in-Time compilers and automatic translators to statically compiled programming languages. In this paper a comparative evaluation of such tools is done with a focus on the attained performance boost.