Speed up data processing in python

Python is a popular programming language due to its object-oriented design, interactive community, and power in machine learning applications. However, python has long been blamed for its undesirable performance in data processing. Here I provide a tutorial to introduce how to speed up data processing in python by multiprocessing, numba JIT and GPU. The tutorial is in Google Colab

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Results showing the data processing speed difference under normal, JIT, GPU global memory, and GPU shared memory conditions