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Financial data manipulation
Pandas was created at AQR Capital for financial data. DataFrames handle time series naturally. Key operations: df.groupby(), df.rolling() for moving averages, df.shift() for lagging data, df.resample() for changing frequency.
You'll use Pandas to clean price data, calculate returns, and prepare features for models. Fluency here is expected in any quant research role.
