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I've been

> scientific computing

for quite some time, and I've the value of a REPL steadily in decline: what's far more useful is a tested code snippet or function & a debugger, occasionally.

Also, if a scientific stack were available in Go, I'd jump on it, because deploying Go is so much simpler than Python. Python's deployment story for scientific software often starts with either )a) create the perfect storm of dependency versions or (b) use Anaconda. Even MATLAB is way better in this regard.



In fairness, "use Anaconda" usually nullifies this dependency / deployment problem completely.


The "perfect storm of dependency versions" is a problem in Go as well though?


Not in practice. The vendoring solution that they are standardizing on makes versioning issues very manageable.


Which solution is this? Do you have any links or more information about that spesifically?



out of interest, what do you find lacking in https://github.com/gonum offering as a scientific stack?




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