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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260708T224633Z
UID:b2949b37-4814-44c9-a2f6-cf628533535c
DTSTART:20170320T090000Z
DTEND:20170320T000000Z
DESCRIPTION:Python is making inroads into the HPC landscape. However\, writ
 ing Python code for efficient scientific computing is not entirely trivial
 . In this course a variety of techniques and libraries will be discussed t
 hat are useful in this context. Subjects covered include profiling of code
  to discover opportunities for optimization\, using Cython\, a Python exte
 nsion that translate critical code sections into efficient C\, wrapping C/
 C++/Fortran libraries in Python\, multithreaded/multiprocess Python\, dist
 ributed programming use mpi4py\, and pySpark for data science.\n\n        
                                                     \n \n Detailed time/pl
 ace info\n \n                                \n 20.03.2017\, 13:00-17:00

LOCATION:ICTS Opleidingscentrum room B
SUMMARY:High Performance Python
URL;VALUE=URI:https://www.vscentrum.be/en/education-and-trainings/detail/hi
 gh-performance-python-20032017
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