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+============================================
+High-Performance Computing with Python @ JSC
+============================================
+:Author: Jan H. Meinke
+:Author: Olav Zimmermann
+
+Python is being increasingly used in high-performance computing projects. It can be used either as 
+a high-level interface to existing HPC applications and libraries, as embedded interpreter, or 
+directly.
+
+This course combines lectures and hands-on session. We will show how Python can be used on parallel 
+architectures and how performance critical parts of the kernel can be optimized using various tools.
+
+For using Python productively for parallel computing, these topics will be covered:
+
+* Interactive parallel programming with IPython
+* Profiling and optimization
+* High-performance NumPy and SciPy, numba
+* Distributed-memory parallel programming with Python and MPI
+* Bindings to other programming languages and HPC libraries
+* Interfaces to GPUs
+
+This course is aimed at scientists who wish to explore the productivity gains made possible by Python 
+for HPC.
+
+This course is a PRACE Advanced Training Centres (PATC) course.
+