NDLI: Proceedings of the 6th Workshop on Python for High-Performance and Scientific Computing (PyHPC '16)

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Proceedings of the 6th Workshop on Python for High-Performance and Scientific Computing (PyHPC '16)

Content Provider	ACM Digital Library
Editor	Spotz, Bill Schreiber, Andreas Scullin, William Terrel, Andy R.
Copyright Year	2016
Abstract	The high-level programming language Python is well established with a large community in academia and industry. It is a general-purpose language adopted by many scientific applications. Examples are computational fluid dynamics, bio molecular simulation, machine learning, data analysis, or scientific visualization. Scientists, engineers, and educators use Python for scientific computing, high-performance computing, and distributed computing. Traditionally, system administrators use Python for system management and automating administration tasks. Python is extremely easy to learn due to its very clean syntax and great readability. Therefore developers love Python as it facilitates to write sustainable and maintainable software systems. For the same reasons, Python is well suited for education at all levels. The overarching theme of the workshop is productivity vs. performance in HPC and scientific programming. While Python is extremely strong in supporting human productivity, it still lacks in computational performance compared to 'traditional' HPC languages such as Fortran or C. The workshop brings together researchers and practitioners using Python in all aspects of high performance and scientific computing. The aim is to present Python applications from mathematics, science, and engineering, to discuss general topics regarding the use of Python, and to share experiences using Python in scientific computing education.
ISBN	9781509052202
Language	English
Publisher	IEEE Press
Publisher Date	2016-11-13
Access Restriction	Subscribed
Content Type	Text
Resource Type	Conference Proceedings

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