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. Signal Processing: Using scipy.signal for filtering signals.

Can you show me an example of optimization?

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

from scipy.optimize import minimize

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

# Initial guess
initial_guess = 0

# Perform the optimization
result = minimize(objective_function, initial_guess)
print(result)

What about integration? How can I do that?

For integration, you can use scipy.integrate.quad. Here's an example:

from scipy.integrate import quad

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

# Perform the integration from 0 to 1
result, error = quad(integrand, 0, 1)
print(f"Integral result: {result}, Error estimate: {error}")

Thanks! Can you give me a resource to learn more about SciPy?

Absolutely! The official SciPy documentation is a great resource: SciPy Documentation. It includes tutorials and examples.