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This article addresses the performance of scientific applications that use the Python programming language. First, we investigate several techniques for improving the computational efficiency of serial Python codes. Then, we discuss the basic programming techniques in Python for parallelizing serial scientific applications. It is shown that an efficient(More)
The project has been funded by the Norwegian Research Council (NRC) through the BeMatA programme under contract 147044/431. First of all I would like to thank the Department of Mathematical Sciences and NRC for making the project possible, and Simula Research Laboratories for providing an excellent working environment. I would like to thank my supervisor(More)
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