Using NumPy for Matrix Operations in Finance

A hands-on introduction to NumPy built specifically for finance work: representing price series and portfolios as arrays, and using matrix operations to compute portfolio returns, covariance, and risk. For engineers and data-inclined traders who already know some Python and want to stop looping over prices in plain lists. Every example uses real Indian market data conventions: NSE/BSE tickers, Nifty constituents, and data shaped the way you'd pull it from screener.in or a broker API.