Pythran: Crossing the Python Frontier

Use of the Python language in scientific computing has always been characterized by the coexistence of interpreted Python code and compiled native code, written in languages like C or Fortran. This column takes a fresh look at the problem and introduces Pythran, a new optimization tool designed to e...

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Veröffentlicht in:Computing in science & engineering Jg. 20; H. 2; S. 83 - 89
1. Verfasser: Guelton, Serge
Format: Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 01.03.2018
Schlagworte:
C++ languages
coding
Optimization
Program processors
Programming
Python
Pythran
Scientific computing
scientific programming
ISSN:1521-9615, 1558-366X
Online-Zugang:Volltext
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Zusammenfassung:Use of the Python language in scientific computing has always been characterized by the coexistence of interpreted Python code and compiled native code, written in languages like C or Fortran. This column takes a fresh look at the problem and introduces Pythran, a new optimization tool designed to efficiently handle unmodified Python code.
ISSN:1521-9615
1558-366X
DOI:10.1109/MCSE.2018.021651342