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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260808T102257Z
UID:f3f55144-f54a-426c-a82b-043d5c8a3379
DTSTART:20170418T090000Z
DTEND:20170418T000000Z
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 18.04.2017\, 13:30-17:30

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-18042017
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