Python equivalent of MATLAB’s “ismember” function

After many attempts trying optimize code, it seems that one last resource would be to attempt to run the code below using multiple cores. I don’t know exactly how to convert/re-structure my code so that it can run much faster using multiple cores. I will appreciate if I could get guidance to achieve the end goal. The end goal is to be able to run this code as fast as possible for arrays A and B where each array holds about 700,000 elements. Here is the code using small arrays. The 700k element arrays are commented out.

Best practices for adding .gitignore file for Python projects?

I’m trying to collect some of my default settings, and one thing I realized I don’t have a standard for is .gitignore files. There’s a great thread showing a good .gitignore for Visual Studio projects, but I don’t see many recommendations for Python and related tools (PyGTK, Django). So far, I have… *.pyc *.pyo …for … Read more