An illustration of collectible toys. MidJourney 5
Yesterday we ran a complete workflow to get a sense of what python syntax looks like and to meet the various libraries and commands that make up the python data science stack. Today weβll slow down and get to know the first two steps of that workflow, Import and Explore. You will learn to explore datasets and get basic information about their structure and contents.
We will also meet pythonβs two essential containers, lists and dictionaries. While they are used across python to store structured data, we will need them for two specific purposes: creating a list of columns to select, and using a dictionary to rename them.
Class materials
| Session | Session 1 | Session 2 |
|---|---|---|
| day 2 / morning | πΌ Reading Data into pandas | π Exploring a DataFrame |
| day 2 / afternoon | π Five Claims About a Dataset Youβve Never Seen | π Lists & Dictionaries usage in Data Science |
End-of-day practice
Todayβs practice returns to the dataset you ran yesterday, and asks what was actually in it.