This article is the first in the Data Cleaning with Python and Pandas series that helps working developers get up to speed on data science tools and techniques.
In this second part of the Data Cleaning with Python and Pandas series, now that we have a Jupyter Notebook set up and some basic libraries initialized, we need to load some data. To do this, we’ll load data from a CSV file, as well as from a local SQLite database.