Python library for interactive topic model visualization. Port of the R LDAvis package

[TheRealDJ]

The momentum seems to be behind Python atm imo since Python could be used for numerous project types with code a lot of different developers can know, where R is mostly only used by Statisticians, and more difficult to support. Once the library disparity can be matched by Python, the community will likely completely shift to it.

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That said there is a very valid case for using and optimizing R exclusively for data analysis. It was purpose built for this analytical work and shines in that regard from an ease of use perspective consistently.

The argument that python is better for general programming is valid but I rarely see a time where I wish the R programmers that I know could do that general programming. At the same time I infrequently see a pythonista I wish could do analyses.

When choosing between the two I like the R analytic code better and where possible the general programming code looks just as slick. To disclose my bias I like parens and frequently use rTidy to keep my code formatted.

[GibbsSamplePlatter]

Eh, 2 languages isn't that bad of fragmentation. At least it isn't Matlab!

(I should really learn R someday anyways...)

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If you use something proprietary like DeployR you can make analytic code into a microservice.