PyHPC 2013 - Python for High Performance and Scientific Computing (PyHPC 2013)

Python is a established, high-level programming language with a large community in academia and industry. It is a general-purpose language adopted by many scientific applications such as computational fluid dynamics, bio molecular simulation, artificial intelligence, statistics, data analysis, scientific visualization etc. More and more industrial domains are turning towards it as well, such as aeronautics, robotics, semiconductor manufacturing, automotive solutions, telecommunication, finance, and games. The use of Python for scientific, high performance parallel, and distributed computing in increasing since years. Especially, the use of Python rises for data analysis and Big Data processing. Traditionally, system administrators are using Python a lot for automating tasks. Since Python is extremely easy to learn with a very clean syntax, it is well-suited for education in scientific computing, mathematics, and other disciplines.
This workshop is organized by Andreas Schreiber from the German Aerospace Center (DLR) and William R. Scullin from Argonne National Laboratory.
For details, please see: http://www.dlr.de/sc/pyhpc2013