pandas DataFrames

After this lesson you can: Load a CSV, select rows and columns, and compute a grouped summary.

First: NumPy arrays

Watch

• Python Pandas Tutorial (Part 1): Getting Started with Data Analysis - Installation and Loading Data - Corey Schafer, 23 min. Corey Schafer’s beginner data-analysis start is well matched to loading real tabular data from files.
• Python Pandas Tutorial (Part 2): DataFrame and Series Basics - Selecting Rows and Columns - Corey Schafer, 34 min. This focused follow-up targets the key DataFrame skill: selecting rows and columns without list-style thinking.
• Learn Pandas in 30 Minutes - Python Pandas Tutorial - Tech With Tim, 31 min. A compact beginner pandas overview likely covering CSVs, DataFrames, selection, and summaries in one concept-sized lesson.

Notes

A pandas DataFrame is best understood as an in-memory table with named columns and labeled rows. It is closer to a spreadsheet or SQL query result than to a list of lists. Each column has a name and usually a consistent type, and most operations are expressed in terms of columns, filters, and summaries rather than manual loops over cells.

Unlock the full lesson notes, the exercises and the graded checkpoint - ₹5,000 once.