Efficient use of Python on the clusters

by Ariel Lozano (ULiege)

Wednesday 21 Nov 2018, 14:00 → 17:00 Europe/Brussels

DAO (Vinci building)

The use of Python for scientific computing is rising thanks to modules such as numpy, scipy and mathplotlib. This session explores the efficient uses of Python in that context for situations where numpy and co. are of less use. It assumes a working knowledge of Python.
Contents: Installing libraries Numpy Scipy Matplotlib MPI python Multithreading Compiling	Prerequisite: Being able to use SSH with private keys  Being familiar with a text editor  Mastering the Linux command line and the GNU utilities (mkdir, cp, scp, etc.) Working knowledge of Python Type: Hands-on Target audience: Confirmed Python user Must: This session is a must-have for anyone thinks Python is slow.

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