write a python script that visualizes bezier curves
Here is a basic script for visualizing a Bezier curve using the matplotlib library in Python:

```python
import numpy as np
import matplotlib.pyplot as plt

def bezier_curve(control_points, num_points=100):
    t = np.linspace(0, 1, num_points)
    curve = np.zeros((num_points, 2))
    for i in range(num_points):
        curve[i] = (1-t[i])**3 * control_points[0] + 3*(1-t[i])**2 * t[i] * control_points[1] + 3*(1-t[i]) * t[i]**2 * control_points[2] + t[i]**3 * control_points[3]
    return curve

control_points = np.array([[0, 0], [0, 1], [1, 1], [1, 0]])
curve = bezier_curve(control_points)
plt.plot(curve[:, 0], curve[:, 1], '-')
plt.plot(control_points[:, 0], control_points[:, 1], 'ro')
plt.show()
```

In this script, the bezier_curve function takes a set of control points and the number of points to evaluate the curve at. The curve is generated using the Bezier curve formula, which is a weighted sum of the control points. The curve points and the control points are then plotted using the matplotlib library.
I don't like having a function that I'm unlikely to use multiple times, can you inline it?