What are some examples of using SciPy in Python?

What are some examples of using SciPy in Python?

SciPy is a powerful library for scientific computing in Python. Here are a few examples:

1. Optimization: Using scipy.optimize to minimize a function.
2. Integration: Using scipy.integrate to compute integrals.
3. Interpolation: Using scipy.interpolate for data interpolation.
4. Statistics: Using scipy.stats for statistical distributions and tests.

Can you show me a code example for optimization?

Sure! Here's a simple example of using scipy.optimize to minimize a quadratic function:

import numpy as np
from scipy.optimize import minimize

# Define the function to minimize
def objective(x):
    return x**2 + 5*x + 6

# Initial guess
x0 = 0

# Perform the optimization
result = minimize(objective, x0)
print('Optimal value:', result.x)

What about integration? Any examples?

Absolutely! Here's how you can use scipy.integrate to compute the integral of a function:

from scipy.integrate import quad

# Define the function to integrate
def f(x):
    return x**2

# Perform the integration from 0 to 1
integral, error = quad(f, 0, 1)
print('Integral result:', integral)