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import sympy

def newton_sympy(f, x0, tol=1e-6, max_iter=100):
    x = sympy.Symbol('x')
    for _ in range(max_iter):
        x0_new = x0 - f.subs(x, x0) / f.diff(x).subs(x, x0)
        if abs(x0_new - x0) <p><strong>NumPy</strong></p><p>NumPy ÊÇÒ»¸öÓÃÓÚ¿ÆѧÅÌËãµÄ Python ¿â¡£ËüÌṩÁËÒ»×éÇ¿Ê¢µÄÊýÖµÇó½âÆ÷£¬°üÀ¨Å£¶Ùµü´úº¯Êý scipy.optimize.newton(). ¸ÃÒªÁìµÄÓ÷¨ÈçÏ£º</p><pre class="brush:php;toolbar:false">import numpy as np
from scipy.optimize import newton

def newton_numpy(f, x0, tol=1e-6, max_iter=100):
    return newton(f, x0, tol=tol, maxiter=max_iter)

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