Greetings, fellow Monks
This is not Perl related but my friends live here.
I ventured into Python and learned a lot. The theme is parallelization which is my passion. So, what better way to consume CPU cores than to explore the Mandelbrot Set in real time. Included in the GitHub repo are complementary CUDA and OpenCL demonstrations using PyCUDA and PyOpenCL respectively. To make things fast, Numba JITs Python code to C-like performance.
The various demonstrations work on FreeBSD, Linux, macOS, and Microsoft Windows. What about threads and GIL? Fortunately, not a problem. Meaning full CPU utilization on Windows. This is possible by specifying nogil=True for Numba and that releases the GIL.
I wanted to finish by Christmas and there it is.