Data Visualization Explained (Part 4): A Review of Python Essentials

This piece serves as a review of fundamental Python programming concepts for data visualization purposes. It covers the building blocks of code, including expressions which evaluate to a value, variables for storing those values, and functions for packaging reusable code. The discussion emphasizes why a grasp of Python is essential for data scientists who need to programmatically create visual insights from data. It also highlights how these basic principles are foundational for using popular data visualization libraries such as Matplotlib, Seaborn, and Plotly.