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Hands-On Data Analysis with NumPy and pandas by Curtis Miller

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Summary

In this chapter, we were introduced to Anaconda, learned why it is a useful starting point, downloaded it, and installed it. We explored some alternatives to Jupyter, covered managing the Anaconda package, and also learned how to set up a MySQL database. Nevertheless, throughout the rest of the book, we'll presume Anaconda has been installed. In the next chapter, we will talk about using NumPy, a useful package in data analysis. Without this package, data analysis with Python would be all but impossible.

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