20PANDAS, SEABORN, AND SCIKIT-LEARN
A common scientific practice is evaluating data and using it to generate predictive models. In this chapter, we’ll use three of Python’s most popular open source libraries to solve a zoological classification problem. Using this hands-on, project-based approach will showcase the functionality and synergy among the libraries and demonstrate what’s involved in doing science with Python.
For data loading, analysis, and manipulation, we’ll use the pandas package (https://pandas.pydata.org/). Built on NumPy and Matplotlib, pandas uses array-based computing under the hood but has simpler syntax, making coding and ...
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