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PDL (http://pdl.perl.org). And it's pretty old too, having started in late 90s.

Numpy/Scipi/Pandas/tensorflow etc all did for scientific/analytics but web frameworks also helped. Today what makes python so easy to use is the fact that there is multiple modules for everything.

Yet, deployment/versioning of python remains a shit show. Just the other day, I ran into an issue with the setproctitle package where certain implementations exposed a method via CPython while others didn't. So not only did it matter which version of python you used, but it mattered how it was compiled. The kicker is, the official OSX build from python.org doesn't work, you have to use a version that comes with OSX.

Only Python would have such a ridiculous problem in 2021.

I love Python, but it's best left in the data science space. Maybe the odd micro-service in Flask.

I believe https://metacpan.org/pod/PDL would be the closest Perl equivalent, but it's not my field and I haven't used it.