AcademyAcademy
NumPy, SciPy, and Pandas are the foundation of numerical work in treasury and risk. Learn when to reach for each one, how to install them properly, and how they work together on real portfolios.
Jupyter Notebook is where finance practitioners solve real problems with Python. It gives you immediate feedback on your code, lets you document your logic as you work, and creates an audit trail that regulators and auditors actually want to see.