Content · How the library is organised
Every topic is taught the same way — methodology first, on real data, with no claim of new results — just in four shapes. From a crisp tutorial on a single idea to a full research article that links the literature to runnable code.
Learn one concept or model at a time, with a clear worked example on real data. Methodology first — how it works and why — never a claim of new results.
A model put to work on a real market event or deal — to see how the theory holds up once the data gets messy. The methodology is the point, not the P&L.
Short, empirical reads on what markets are doing right now — the insight and its implication, light on the math. The kind of note a desk puts out when something moves.
Deeper, paper-style write-ups that connect the academic literature to runnable Python — the full argument, end to end. The bridge from a landmark paper to live code.