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Python for High Performance Computing – Part 2
October 26, 2015 @ 2:00 pm - 4:00 pm
New time: 2-4pm, October 26
New Location: 5628 Math Sciences Building
Python, originally developed as a general purpose programming language, has gained its popularity in the scientific community in recently years owning to its elegant and easy- to-understand syntax and powerful libraries. Python fully supports both functional and object-oriented programming styles. This class will present a number useful features of Python in the context of scientific computing, and introduce a number of supporting packages, including numpy for array-based computations and h5py to access HDF5 files, and the use of Python in parallel computing (MPI style).
This is the second part of a 2-part presentation. Knowledge from Part 1 is required in this class.