Pandas

Purpose

Transform and analyze tabular data correctly and at speed. Pandas makes it easy to write code that is slow, and easier still to write code that is silently wrong.

When to Use

• Cleaning, transforming, or analyzing tabular data in Python.
• A pandas operation that is slow or exhausting memory.
• Reviewing analysis code for correctness.
• Deciding whether the dataset has outgrown pandas.

Capabilities