COMPARISON OF DIFFERENT PYTHON DEVELOPMENT LIBRARIES TO SOLVE FLUID FLOW PROBLEMS | Zendy

Tarcísio Fischer | Zendy; Arthur Besen Soprana | Zendy; Edson Tadeu M. Manoel | Zendy; Gustavo Gondran Ribeiro | Zendy

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COMPARISON OF DIFFERENT PYTHON DEVELOPMENT LIBRARIES TO SOLVE FLUID FLOW PROBLEMS

Author(s) -

Tarcísio Fischer,

Arthur Besen Soprana,

Edson Tadeu M. Manoel,

Gustavo Gondran Ribeiro

Publication year - 2018

Publication title -

congresso brasileiro de fluidodinâmica computacional

Language(s) - English

Resource type - Conference proceedings

ISSN - 2525-4472

DOI - 10.17648/cbcfd-84098

Subject(s) - python (programming language) , computer science , programming language , software engineering

RESUMO – With the advance of programming languages, the availability of better hardware, and the emergence of new libraries for numerical development, it has been possible to use high level abstractions to prototype and solve complex problems in many fields of knowledge. In the context of numerical simulation using the Finite Volume Method, those new tools can be used, so that the developer is able to make experiments with less effort. This work compares several libraries from the Python programming language (Pure Python implementation, Cython, NumPy, Numba, Scipy, petsc4py, and pure C/C++), aiming to solve fluid flow problems and comparing execution performance from each tools

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