Pandas

Pandas provides expressive, flexible data structures for tabular data manipulation and analysis in Python, featuring optimized Copy-on-Write (CoW) memory management.

When to Use

• In-Memory Tabular Data Manipulation: Cleaning, transforming, merging, and reshaping tabular business data.
• Time-Series Analysis & Resampling: Date-range indexing, rolling window calculations, and financial resampling.
• Modern PyArrow Backend (Pandas 2.0+): Leveraging Arrow string types for 2x-5x memory savings and instant parsing.
• Exploratory Data Prep & Feature Engineering: Computing group statistics, one-hot encodings, and pivot tables.

Quick Start

import pandas as pd