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by jwilbs
2980 days ago
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It may sound weird, but
I believe if any data scientists switch to a ‘nontypical’ language for the domain, it should be JavaScript. What’s required for data science is a healthy ecosystem of scientific computing tools. While js obviously isn’t as mature as python (anaconda stack + Jupiter, etc) or R (tidyverse etc) in this aspect, it has made great strides recently:
- tensorflow.js
- observable notebooks
- mathjs
- simple-statistics / jstat Furthermore, with tools like d3 + leaflet, js has very little competition when it comes to data visualiation. A big thing holding js back is a mature library for data manipulation, hopefully this changes in the future (anybody know of any potential fills for this gap?). |
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