This is a tutorial for beginners on using the Pandas library in Python for data manipulation. We will go from the basics of how to load and look at a dataset in pandas (python) for the first time, and begin the process of preparing data for analysis. The topics covered are: Load and look at slices and views of data Groupby aggregates to summarize data Tidy and reshape data Write functions and apply them to data Plotting data using Seaborn Encode dummy variables to prepare for analysis and model fit Fitting a model using sklearn By the end of this tutorial, you should have a solid foundation on working with datasets in Python. The last topic of encoding dummy variables segues into using other libraries, such as scikitlearn and statsmodels to fit models on your data.

Tutorial information may be found at https://www.scipy2019.scipy.org/tutor...
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