The whole of pandas data wrangling on one page, every line explained: manipulation, combining and reshaping, importing, cleaning, categorical data, and dates and times.
Real data arrives wrong. Wrong shape, wrong types, wrong encoding, dates as strings, the same customer spelled three ways. Most of a data job is the stretch between the file landing and the analysis starting, and that stretch is a few dozen pandas idioms you either know or look up every time. This sheet gathers twenty-four cards across six topics, each with the handful of lines that matter and a plain explanation of what every one of them does. Keep it open while you work, or save the image and pin it nearby.
Use this cheatsheet anywhere
Free to share and embed, no attribution required, though a credit link is appreciated and included by default. Drop the image straight into Notion, Slack or your own site.
It follows the working with data stage of the data scientist roadmap step for step, so every card has a full article, a code-along and a Feynman explainer behind it when you want the reasoning rather than the reminder.
Happy learning.
