Python has become the common language of quantitative and operational finance. Libraries such as pandas for data, NumPy for maths and matplotlib for charts let teams pull data, run models and produce reports at scale.
For finance professionals it replaces fragile spreadsheets with code that is repeatable, testable and easy to share, which is why it has become a core skill on the desk.
