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Last Updated: June 8, 2026
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The Swiss National Supercomputing Centre is pleased to announce that the " With multi-core processors available almost on every modern machine, as well as the availability of supercomputers with ... This is a new edition of the 3-day course originally developed by Dr. Jan Meinke and and Dr. Olav Zimmermann from JSC. Fernando Pérez, Brian E. Granger, Min Ragan-Kelley Speaker: Mike McKerns This tutorial is targeted at the intermediate-to-advanced IPython in-depth high-productivity interactive and parallel python
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High-Performance Computing with Python: Interactive parallel computing with IPython Parallel
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High-Performance Computing with Python: Introduction to IPython and Jupyter Notebook
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Interactive Parallel Computing with IPython Part 1 | SciPy 2014 | Min RK
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![[Numerical Modeling 9] High-performance computing and parallel programming in Python](https://ytimg.googleusercontent.com/vi/DouD7v8C4KU/mqdefault.jpg)
[Numerical Modeling 9] High-performance computing and parallel programming in Python
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High-Performance Computing with Python: Interactive parallel computing with IPython Parallel
High-Performance Computing with Python: Introduction to IPython and Jupyter Notebook
Interactive Parallel Computing with IPython Part 1 | SciPy 2014 | Min RK
![[Numerical Modeling 9] High-performance computing and parallel programming in Python](https://i0.wp.com/ytimg.googleusercontent.com/vi/DouD7v8C4KU/mqdefault.jpg?resize=320,180)
[Numerical Modeling 9] High-performance computing and parallel programming in Python
HPC Python Course - Day 1 - Morning
High-Performance Computing with Python: Introduction to MPI
IPython in-depth: high-productivity interactive and parallel python
Using IPython for Parallel Computing
Parallel Debugging & Interactivity with IPython
High Performance Computing with Python. Why Parallel? Why Python?
High-Performance Computing with Python: NumPy Intro
High-Performance Computing with Python: Bottlenecks
High-Performance Computing with Python: Speeding up your code with Cython
Foundation of Parallel Systems for High-Performance Computing
Mike McKerns - Efficient Python for High-Performance Parallel Computing - PyCon 2016
IPython & Jupyter in depth: high productivity interactive and parallel python - PyCon 2015
Interactive Parallel Computing with IPython Part 3 | SciPy 2014 | Min RK
