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Medium · Code Analysis · Quant Trader interview question · numpy, broadcasting, shape, data-analysis, trading-strategy
You are working on a trading strategy that involves manipulating large arrays of market data using NumPy. A crucial step in your analysis involves adding two NumPy arrays with shapes (3, 1) and (1, 4). Assume the arrays contain numerical data. What is the shape of the resulting array after the addition operation? Is NumPy's broadcasting behavior in this scenario likely to be intentional in a typical trading context, or could it indicate a potential error in how your data is structured or interp