3 Python Data Science Libraries
Python provides access to a robust ecosystem of third-party libraries that you’ll find useful for data analysis and manipulation. This chapter introduces you to three of the more popular data science libraries: NumPy, pandas, and scikit-learn. As you’ll see, many data analysis applications use these libraries extensively, either explicitly or implicitly.
NumPy
NumPy, or the Numeric Python library, is useful for working with arrays, which are data structures that store values of the same data type. Many other Python libraries that perform numerical computations rely on NumPy.
The NumPy array, a grid of elements ...
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