PythonNov 2025
Python Fundamentals for Finance
Review core Python syntax, functions, and libraries needed to follow the quant notebooks.
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portfolio_optimizer.py
1import numpy as np 2import pandas as pd 3from scipy.optimize import minimize 4 5def calculate_portfolio_returns(prices): 6 """Calculate portfolio returns from price data.""" 7 returns = prices.pct_change().dropna() 8 return returns 9 10def optimize_portfolio(returns): 11 """Optimize portfolio using mean-variance framework.""" 12 n = len(returns.columns) 13 mean_returns = returns.mean() 14 15 16 17 18 19 20 21 Platform Benefits
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