120 cards
This deck introduces you to one of the most widely used tools in Python data analysis: the Pandas DataFrame. The cards walk you through the fundamentals, starting with what a DataFrame is and which library provides it, then moving into the practical skills you'll use every day. You'll learn how to build DataFrames from dictionaries, lists, and external files like CSV, Excel, and JSON, as well as how to save your results back out to disk.
Once you're comfortable creating DataFrames, the deck shifts to exploring and inspecting them. Cards cover handy methods and attributes for peeking at your data, checking its shape, listing columns and index labels, viewing data types, and pulling up a quick summary. These are the everyday commands you'll reach for whenever you load a new dataset and want to understand what you're working with.
This deck is a great fit if you're new to Pandas or transitioning from another data tool and want to build a solid foundation in DataFrame operations. To get the most out of it, try writing out the code for each question by hand before flipping the card, even if it's just on a scrap of paper. Pairing the flashcards with a short coding session between study rounds will help the syntax stick much faster than reading alone.