the purpose of this training is to help understand the performance bottle necks with python, the impact of multi threading in python, introduce libraries that help improve performance for python in scientific computing such as numpy, numexpr, panda amongst others, understanding frameworks for distributed computing such as dask and pyspark
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the purpose of this training is to help understand the performance bottle necks with python, the impact of multi threading in python, introduce libraries that help improve performance for python in scientific computing such as numpy, numexpr, panda amongst others, understanding frameworks for distributed computing such as dask and pyspark
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edwardpeter547/python-hpc-training-2018
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the purpose of this training is to help understand the performance bottle necks with python, the impact of multi threading in python, introduce libraries that help improve performance for python in scientific computing such as numpy, numexpr, panda amongst others, understanding frameworks for distributed computing such as dask and pyspark
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