# 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:** 14

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**Author:** ![Seif\_Shebl](https://avatars.discourse-cdn.com/v4/letter/s/eada6e/32.png) [@Seif\_Shebl](https://discourse.julialang.org/u/Seif_Shebl)\
**Post date:** [September 6, 2020, 2:58pm UTC](https://discourse.julialang.org/t/julia-equivalent-for-python-scipy-optimize-fsolve/46139/14 "2020-09-06T14:58:38Z")

</div>

In MATLAB, this is done in a single line of code, I also wonder if there is a similar thing in Julia:

```julia
>> syms x y z
>> [x,y,z] = solve(3*x + 5*y + 2*z == 12, 2*x + 5*y - 4*z == 9,4*x - y + 5*z == -3)
 
x =
-33/37
 
 y =
99/37

z =
24/37

```

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