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Practical 1: Exporing Python Performance with Computational Fluid Dynamics

Connect to Cirrus with X forwarding turned on (ssh -XY)
- You are free to use a machine of your choosing other than Cirrus, however it will need the following:
  - a Python distribution (Python 2 or Python 3) that includes NumPy, SciPy, and Numba (e.g. the Anaconda distribution)
  - gcc and/or gfortran
Clone this repository on Cirrus: git clone https://github.com/EPCCed/APT-python4hpc.git
module load anaconda gcc/8.2.0 ImageMagick
Follow the practical instructions in the browser, starting with README.ipynb
To view flow.png files, use the display command (need to load the ImageMagick module for this to work)

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