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Mandelbrot code using the CPU and numba also using jit and is multi thread

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Fast Mandelbrot Set Renderer

A highly optimized Mandelbrot set renderer using NumPy and Numba for CPU parallelization, featuring real-time progress tracking.

Features

  • Fast CPU rendering using Numba's parallel JIT compilation
  • Real-time progress bar with ETA estimation
  • Efficient memory usage with NumPy vectorization
  • Adjustable parameters: resolution, iterations, zoom region
  • Clean grayscale output ready for post-processing
  • New Mandelbrot code for use in termux or device which cannot support numba (still requires pillow(PIL), NumPy, tqdm, Python 3.x

Installation(termux have separate installation method please check the file termux_mandelbrot_setup.sh)

git clone https://github.com/icannotcodeijuststartmynewaccount/fast-mandelbrot.git
cd fast-mandelbrot
pip install -r requirements.txt

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Mandelbrot code using the CPU and numba also using jit and is multi thread

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