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You could consider Pandas / numpy an array language, even though it's really a library for Python. The exposed API is IMHO what's important.


I agree, but you have to take extensibility into account. You either have an extensible language and extend it[0], you make it an array language to the core, or you just have a few slightly convenient functions (not a language). (I don't have enough experience to judge which category Pandas / numpy are in)

[0]: https://github.com/phantomics/april




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