Mathematical Art, Fractal & Nature Computing

COMPUTATIONAL ART RESEARCH & DEVELOPMENT

My work bridges the intersection of art, computation, design, math and science, with a focus on exploring the innate beauty of nature through experimental approaches. This project utilized Python in Jupyter Notebook to create graphical representations of various fractal models, such as linear fractals (Sierpinski triangle, Koch snowflake, Barnsley fern, and fractal trees) and complex fractals (Julia sets and the Mandelbrot set). The goal was to deepen understanding of fractal geometry and its connection to biology and computation, demonstrating how fractals reveal the self-similar patterns found in nature. Using Python libraries like Turtle, Matplotlib, and Numpy, unique algorithms and color techniques were applied to illustrate the fractals' properties and aesthetic appeal. The project highlighted fractals' potential to enhance comprehension of natural phenomena and showcased their artistic and mathematical elegance. Despite minor challenges in rendering due to computer limitations, this work successfully met its objectives and opened pathways for further exploration and innovation in the field.