Pandas for Productivity Vlog Ep2: Think like a data engineer!

Why this topic?

When we join two flat files, or a flat file to a SQL query output in Python, they probably come from 2 different sources. Therefore, we can’t assume that they’re engineered to be combined directly.

What it covers:

I walk through 2 examples of joining data from completely different sources. In both cases, I have to understand the underlying structure and aggregation, then configure the data to ensure accurate mapping between the DataFrames.

Watch it here:

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.