Abstract:
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 langua...Show MoreMetadata
Abstract:
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.
Published in: Computing in Science & Engineering ( Volume: 20, Issue: 2, Mar./Apr. 2018)