In the scenarios delineated in Appendix A, GPUs are shown to be ideal for big data management, whereas Python is shown to be ideal for data science. But in fact, it is also true the other way around. Hence, Python and GPUs are equally important in both data science and big data, which can be clearly be stated as a dual advantage.

If you look closely at the research papers cited in Appendix A, you will observe that Python and GPUs complement each other very well in terms of AI computing. This fact has led to the creation of machine learning modules in existing frameworks written in Python specifically for GPUs. Before we look into them, we must understand the significance of the dual advantage.