Angry Birds Code -

Example:

class AngryBirdsGame: def __init__(self): self.state = "aiming" self.bird = Bird(start_pos=(200, 300)) self.slingshot_anchor = (200, 300) self.drag_end = None self.gravity = (0, -9.8) def on_touch_began(self, pos): if self.state == "aiming" and distance(pos, self.slingshot_anchor) < 50: self.drag_start = pos def on_touch_moved(self, pos): if self.state == "aiming" and self.drag_start: self.drag_end = pos # Show trajectory preview v0 = self.calc_initial_velocity(self.drag_end) self.draw_trajectory(v0) def on_touch_ended(self, pos): if self.state == "aiming" and self.drag_end: self.bird.velocity = self.calc_initial_velocity(self.drag_end) self.state = "flying" self.drag_end = None def calc_initial_velocity(self, drag_pos): delta = Vector2(self.slingshot_anchor) - Vector2(drag_pos) force = min(delta.length(), 150) * 3.5 angle = atan2(delta.y, delta.x) return Vector2(force * cos(angle), force * sin(angle)) def update(self, dt): if self.state == "flying": self.bird.velocity += self.gravity * dt self.bird.position += self.bird.velocity * dt if self.bird.position.y < 0: self.state = "waiting_respawn" # Check collisions with blocks/pigs The Angry Birds code masterfully demonstrates how a few core physics equations, when combined with an event-driven architecture and optimized collision detection, produce highly addictive gameplay. Its implementation serves as a textbook example for introductory game physics and mobile development. Understanding this code provides a foundation for any physics-based puzzle game — from slingshots to golf to space simulations.

def on_touch_drag(start_pos, current_pos, slingshot_anchor): drag_vector = slingshot_anchor - current_pos force = min(drag_vector.length(), MAX_FORCE) * FORCE_FACTOR angle = atan2(drag_vector.y, drag_vector.x) initial_velocity = Vector2(force * cos(angle), force * sin(angle)) draw_trajectory(initial_velocity) After release, each frame updates: