Setting Up a Finance-Focused Python Workspace

In this lesson, students set up a practical Python workspace for finance work: a clean project folder, an isolated environment, core analytical packages, and a repeatable notebook workflow.

The focus is not on advanced modelling yet. It is on creating a dependable setup that can support later lessons on market data, returns, portfolio analysis, risk metrics, and financial modelling without version conflicts or messy files.