1. Introduction to Python for Earth and Environmental Sciences#
In this first chapter, which you may skip if you are an experienced Python programmer, we will guide you through the basics of Python that will allow you to sail through the rest of the book. This includes the basics of variables, control flow, file I/O, data structure, functions, and classes in Python. We then introduce cornerstone Python libraries:
Numpyfor scientific computing,MatplotlibandCartopyfor visualization,Pandasfor tabular data analysis,Geopandasfor geospatial data analysis,Scikit-learnfor statistical modeling, andSeabornfor statistical graphics.