3.2.9. Summary

  • Most of the material in this chapter has been geared at an understanding of the core data science tool for data analysis - the dataframe - and how to work with data in it (functions, tasks, manipulating and shaping data)

  • But we also covered good habits for data analysis, which will pay dividends as we dive into more (and new) datasets in the future

  • The Finance Applications chapter contains examples of how we can use pandas to compound returns, easily calculate betas, and more.