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DTSTAMP:20260707T114904Z
UID:d803a741-9c71-42f0-bb8d-48b80102f1ba
DTSTART:20190123T070000Z
DTEND:20190125T140000Z
DESCRIPTION:Description\n\nPython programming language has become popular i
 n scientific computing due to many benefits it offers for fast code develo
 pment. Unfortunately\, the performance of pure Python programs is often su
 b-optimal\, but fortunately this can be easily remedied. In this course we
  teach various ways to optimise and parallelise Python programs. Among the
  topics are performance analysis\, efficient use of NumPy arrays\, extendi
 ng Python with more efficient languages (Cython)\, and parallel computing 
 with  message passing (mpi4py) approach.\n\nLearning outcome\n\nAfter the
  course participants are able to\n\n\n	analyse performance of Python progr
 am and use NumPy more efficiently\n	optimize Python programs with Cython\n
 	utilize external libraries in Python programs\n	write simple parallel pro
 grams with Python\n\n\nPrerequisites\n\nParticipants need some experience 
 in Python programming\, but expertise is not required. One should be famil
 iar with\n\n\n	Python syntax\n	Basic builtin datastructures (lists\, tuple
 s\, dictionaries)\n	Control structures (if-else\, for\, while)\n	Writing f
 unctions and modules\n\n\nSome previous experience on NumPy will be useful
 \, but not strictly required.\n\nAgenda\n\nDay 1\, Wednesday 23.1\n\n\n	\n
 	Efficient use of NumPy\n	\n	\n	Performance analysis\n	\n\n\nDay 2\, Thurs
 day 24.1\n\n\n	\n	Optimisation with Cython\n	\n	\n	Interfacing with extern
 al libraries\n	\n\n\nDay 3\, Friday 25.1\n\n\n	\n	Parallel computing with 
 mpi4py\n	\n\n\n\n\n\nLecturers:  \n\nJussi Enkovaara (CSC)\, Martti Louhi
 vuori (CSC)\n\nLanguage:   English\nPrice:          Free of cha
 rge\nhttps://events.prace-ri.eu/event/806/
SUMMARY:Python in High-Performance Computing @ CSC
URL;VALUE=URI:https://events.prace-ri.eu/event/806/
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