Background

• Advanced Pandas
• Additional data types
• Loops and conditions

Excercise

• Extracting and transforming data from “Manipulating DataFrames with pandas”
• Fundamental data types chapter of “Data Types for Data Science”
• Logic, Control Flow and Filtering + Loops of “Intermediate Python for Data Science”
• Case Study: Hacker Statistics

Home Assignment

Complete any two “beyond the basics” or “harder” problems from Pandas Puzzles