# Tonight I hated julia, REPL and overflows

**URL:** <https://discourse.julialang.org/t/tonight-i-hated-julia-repl-and-overflows/34884>\
**Category:** New to Julia\
**Tags:** integer-overflow\
**Created:** [February 20, 2020, 2:10am UTC](https://discourse.julialang.org/t/tonight-i-hated-julia-repl-and-overflows/34884 "2020-02-20T02:10:21Z")\
**Posts on this page:** 1\
**Showing post:** 39

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**Author:** ![Jakub\_Wronowski](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/jakub_wronowski/32/204030_2.png) [@Jakub\_Wronowski](https://discourse.julialang.org/u/Jakub_Wronowski)\
**Post date:** [February 22, 2020, 11:13pm UTC](https://discourse.julialang.org/t/tonight-i-hated-julia-repl-and-overflows/34884/39 "2020-02-22T23:13:13Z")

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> [@Jean\_Michel](#):
>
> have the choice to redo entirely the computation in `BigInt` (very slow) or (better) to use `SaferIntegers`

Maybe try BitIntegers.jl, they work well for me, much faster than bigints

> [@ANN: BitIntegers.jl (Int256, ...) and BitFloats.jl (Float80, Float128)](https://discourse.julialang.org/t/ann-bitintegers-jl-int256-and-bitfloats-jl-float80-float128/15935):
>
> I’m glad to present two new registered packages which add more “native-like” types to Julia, mostly implemented in the same way as Base builtin integer and floating point types. Both packages can lead to segfaults that I don’t understand, and they are under-tested, so they must be considered as experimental; other contributors will be needed to overcome the shortcomings (read the respective READMEs for more information). That said, they can already be useful smiley[BitIntegers.jl](https://github.com/rfourquet/BitIntegers.jl) exports s…

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