# Choosing a numerical programming language for economic research: Julia,

**URL:** <https://discourse.julialang.org/t/choosing-a-numerical-programming-language-for-economic-research-julia/85697>\
**Category:** Community\
**Tags:** blog, blog-post\
**Created:** [August 13, 2022, 7:37am UTC](https://discourse.julialang.org/t/choosing-a-numerical-programming-language-for-economic-research-julia/85697 "2022-08-13T07:37:53Z")\
**Posts on this page:** 1\
**Showing post:** 30

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**Author:** ![stevengj](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/stevengj/32/71_2.png) [@stevengj](https://discourse.julialang.org/u/stevengj)\
**Post date:** [August 13, 2022, 9:08pm UTC](https://discourse.julialang.org/t/choosing-a-numerical-programming-language-for-economic-research-julia/85697/30 "2022-08-13T21:08:30Z")

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> [@JackStrauss](#):
>
> Try googling “Julia simulate student-t random numbers”, You end up here [Random Numbers · The Julia Language](https://docs.julialang.org/en/v1/stdlib/Random/) and how do you figure out how to get Student-t RNs?

Huh, I googled “julia student-t” and got to [Univariate Distributions](https://juliastats.org/Distributions.jl/v0.14/univariate.html) which is where `Distributions.TDist` is documented.

It’s true that this is not in the Julia manual itself, but that’s inherent to not having a single monolithic library, so I’m not sure what you are asking for here.

As I wrote [in another thread](https://discourse.julialang.org/t/how-to-know-if-a-package-is-good/82133/47)

> I think part of the issue here is that in an extremely well-established language like Python, there are large organizations with deep pockets that pour resources into a few high-profile packages in key problem areas. […] it is easier to identify a well-resourced solution.

That being said, there’s no question that more documentation could be written, and better documentation, and I agree that having more examples in the documentation is desirable.

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