Data Manipulation in Pandas

After our Python fundamentals session, the next step was real data. This workshop introduced students to pandas, the Python library data scientists reach for whenever they work with tables.

We started by importing CSV files and seeing them come to life as tables, then worked our way up to merging separate datasets into one. That moment, when two files combine and answer a question neither could alone, is where data work starts to click, and I wanted every student to feel it.