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. Would you like to see examples related to optimization, integration, or statistics?

Can you show me an example of optimization?

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

from scipy.optimize import minimize

def objective_function(x):
    return x**2 + 5*x + 6

result = minimize(objective_function, 0)
print(result)

This code minimizes the quadratic function.

What about integration?

For integration, you can use scipy.integrate. Here's an example of integrating a function:

from scipy.integrate import quad

def integrand(x):
    return x**2

result, error = quad(integrand, 0, 1)
print(result)

This integrates x^2 from 0 to 1.

Can you give me a statistics example?

Absolutely! You can use scipy.stats for statistical functions. For example, to calculate the mean and standard deviation of a dataset:

from scipy import stats

data = [1, 2, 3, 4, 5]
mean = stats.tmean(data)
std_dev = stats.tstd(data)
print(mean, std_dev)

This calculates the mean and standard deviation of the data.