Efficient use of Python on the clusters

by Ariel Lozano (ULB)

bibliotheque des sciences: salle pasteur (comodal (louvain-la-neuve or remote))

bibliotheque des sciences: salle pasteur

comodal (louvain-la-neuve or remote)

Join Zoom Meeting https://cern.zoom.us/j/68165517034?pwd=bllaeUZlNFlZZmh5RVYrVytudnJTQT09 Meeting ID: 681 6551 7034 Passcode: 257128 Join by SIP 68165517034@ 68165517034@ Join by H.323 Meeting ID: 681 6551 7034 Passcode: 257128

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. 


  • Installing libraries
  • Numpy
  • Scipy
  • Matplotlib
  • MPI python
  • Multithreading
  • Compiling


  • 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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