Search⌘ K
AI Features
Home
Courses
From Python to Numpy

Coding Example: Implement the behavior of Boids (Python approach)

Explore how to implement the behavior of Boids using a Python class approach. Understand the simulation of autonomous agents with position and velocity properties, and learn the challenges related to performance in pure Python. This lesson helps you grasp the calculation of local neighbor interactions and the limitations of naive distance computations before moving on to more efficient NumPy solutions.

We'll cover the following...

Boid Class Implementation (Python)

Since each boid is an autonomous entity with several properties such as position and velocity, it seems natural to start by writing a Boid class:

Python 3.5
import math
import random
from vec2 import vec2
class Boid:
    def __init__(self, x=0, y=0):
        self.position = vec2(x, y)
        angle = random.uniform(0, 2*math.pi)
        self.velocity = vec2(math.cos(angle), math.sin(angle))
        self.acceleration = vec2(0, 0)

The vec2 object is a very simple class that handles all common ...