# Julia equivalent for python scipy.optimize.fsolve

**URL:** <https://discourse.julialang.org/t/julia-equivalent-for-python-scipy-optimize-fsolve/46139>\
**Category:** General Usage\
**Tags:** package, roots\
**Created:** [September 6, 2020, 12:09pm UTC](https://discourse.julialang.org/t/julia-equivalent-for-python-scipy-optimize-fsolve/46139 "2020-09-06T12:09:12Z")\
**Posts on this page:** 1\
**Showing post:** 20

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**Author:** ![Tamas\_Papp](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/tamas_papp/32/25949_2.png) [@Tamas\_Papp](https://discourse.julialang.org/u/Tamas_Papp)\
**Post date:** [September 6, 2020, 3:10pm UTC](https://discourse.julialang.org/t/julia-equivalent-for-python-scipy-optimize-fsolve/46139/20 "2020-09-06T15:10:26Z")

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> [@Seif\_Shebl](#):
>
> I also wonder if there is a similar thing in Julia

There are various packages for symbolic manipulations, but that’s probably overkill for this application.

I am curious about the context here. If one is talking about a _single_ linear system, it is trivial to transcribe it to a matrix form. If, on the other hand, one needs to solve a lot of linear systems, it is hard to imagine that they come in the general form and not as a matrix equation.

> [@HerAdri](#):
>
> Maple will automatically use fractions.

```julia
julia> A = [3 5 2;
       2 5 -4;
       4 -1 5];

julia> b = [12, 9, -3];

julia> Rational.(A) \ Rational.(b)
3-element Array{Rational{Int64},1}:
 -33//37
  99//37
  24//37

```

You may want to use `Rational{BigInt}` in general though.

That said, I am wondering if you misunderstand what Julia is for: while various packages address this, Julia in general is not a CAS like Maple, Mathematica, or Maxima.

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