Use of the python language in scientific computing has always been characterized by the coexistence of interpreted pythoncode and compiled native code, written in languages like C or Fortran. This column takes a fres...
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Use of the python language in scientific computing has always been characterized by the coexistence of interpreted pythoncode 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.
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