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by monkeyfacebag 1913 days ago
> Go has a ton of potential in the data science space.

Does it? I'm not familiar with Go data science applications but the design of the language, tooling and runtime, eg low latency garbage collector, errors thrown for unused imports, do not, to me, seem to fit well with the needs of data science. I'm interested in hearing what advantages Go brings.
3 comments
moooo99 1913 days ago
I guess the best thing would be the lightweight and simple concurrency model of go when it comes to data science applications. But other than that, I can't really think of a good reason why go should have so much potential.
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jrockway 1913 days ago
How do unused imports relate to a language's suitability for data science? Your Python IDE adds and removes imports as you use them. Your Go IDE adds and removes imports as you use them. Unless you're using "ed" as your editor, it shouldn't even be something you see or ever think about.
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jy3 1913 days ago
> errors thrown for unused imports

You're doing something wrong if it doesn't get cleaned up automatically.

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