Wonderful! The one untold story is the more I use it the better the programmer I become. It is so easy to benchmark and profile code. It has a great community that will help you how to write high performance code. Congrats!
I would also bet (but not too much) that we eventually see major progress in removing the GIL. I really don’t think it’ll be around forever!
One starts with quick and dirty solution, makes it work on a small dataset and then struggle to make it utilize at least 4 cores to cut running time with more realist datasets. Surelly I can code numerical calculations in C++, but then the code cannot be maintained by python-only guy. So I hope that Julia or anything else with better parallel support replaces Python for scientific calculations when scaling quick and dirty solutions is straightforward.
[1] http://scipy-cookbook.readthedocs.io/items/ParallelProgrammi...