Pandas

This notebook introduces the pandas library for data handling and analysis in Python.
It covers how to create, inspect, and manipulate DataFrame and Series objects,
how to select and filter data, and how to perform basic operations such as aggre

This notebook demonstrates how to combine and manipulate tabular data with pandas.
It covers the most commonly used methods for joining DataFrames (merge), applying functions to columns (apply), and grouping data (groupby).
All examples use synthetic d