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Week 3 summary

We hope that you have enjoyed the third week of Python in High Performance Computing!

This week, we have discussed Cython, optimising static compiler for Python. By adding static type definitions into existing Python module (using Cython extension language) one can in best cases obtain over hundred-fold speed-ups. We also discussed how existing libraries (with C interface) or existing C and Fortran code can be interfaced with different Python tools.

By now, you should know how to transfer dynamic Python code into a more static compiled code with the help of Cython, as well as how to utilize C or Fortran code from Python.

Next week, we will explore the amazing wonderland of parallel computing and learn how to use multiple CPU cores with MPI for Python.

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This article is from the free online course:

Python in High Performance Computing

Partnership for Advanced Computing in Europe (PRACE)