This package plays around with various profilers through the lens of Mandelbrot set computers. Heavily inspired by "High Performance Python" by Gorelick & Ozsvald.

• Run the scripts in mandelbrot.profilers to interact with the (basic) profiler integrations.
• Run the scripts in mandelbrot.implementations to interact with the different Mandelbrot set implementations.

We use a standard Poetry setup.

Caveats:

• For me, poetry shell does not work in PyCharm. Always use a fresh standalone terminal. This is relevant for profilers that run outside the Python interpreter.
• Depending on your poetry install, you may have to run source $HOME/.poetry/env before running any poetry commands.

Profilers:

• is there a good profiler for tracking multi-process applications?

Mandelbrot implementations:

• A pure CUDA version, maybe using PyCUDA? Or maybe cupy?
• the naive implementation, but threaded
• the naive implementation, but multi-process
• C implementations, see Chapter 7 in "High Performance Python".
• A Rust implementation, see PyO3.