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Python Code || Path Planning with Grey Wolf Optimization (GWO) ~xRay Pixy

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Learn how to implement an obstacle-avoiding path planning for a robot using the Grey Wolf Optimization (GWO) in a static environment. #optimization #algorithm #metaheuristic #robotics #deeplearning #ArtificialIntelligence #MachineLearning #computervision #research #projects #thesis #Python
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TURTLE GRAPHICS USING PYTHON || Turtle Star || 08 || ~xRay Pixy

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TURTLE GRAPHICS USING PYTHON || Turtle Star || 08 || 


STEPS
  1. Python Turtle Graphics Design
  2. First Import Turtle
  3. Here, variable r is considered a Turtle.
  4. Set Turtle Speed.
  5. Set Line Width.
  6. Set Background Color as while. 
  7. Select Colors for the Design. Create a List of Colors.
  8. For Loop Initialization.
  9. Access Colors from the List inside Loop.
  10. Set Direction for Turtle.

SOURCE CODE

import turtle
r = turtle.Turtle()
r = turtle.Pen()
r.speed(1000)
r.width(2)
turtle.bgcolor('white')
c = ['blue','lime','red','black','gold','aqua','purple','silver']
for x in range (600):
    r.pencolor(c[x%8])
    r.forward(x)
    r.right(160)
r.done()

OUTPUT



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