A quantitative workflow is all about testing hypotheses on data. Before you can test hypotheses or do anything with your data, it needs to be in a format that is easy to access and to work with. pandas is a Python package specifically designed to make management and analysis of your data all part of the same intuitive workflow. It provides data structures that allow you to organize and perform efficient calculations on time series and cross-sectional data with ease. It underlies most of the computations done in the lecture series and is used by many cutting edge firms. In this lecture we will walk you through some basic use cases and make sure you’re familiar with all the components you need to get started.
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