DataFrame is a two-dimensional labeled data structure with columns of potentially different types. You can think of it like a spreadsheet or SQL table, or a dict of Series objects.

Although it's possible to create a data frame from scratch using Python data structures or NumPy arrays, it's more common in my experience to do so from a file. Fortunately, Pandas can load data from ...

Enter Python and Pandas, two powerful tools that can revolutionize your workflow. This guide will walk you through the basics of automating data cleaning in Google Sheets using Python and Pandas.