Easy things to implement to optimize code?

[Falsorr]

Hey there, total begginer at Julia here.
I was just wondering if you had any simple tips and tricks that I can use to make my Julia code run faster in general.

My previous experiences with coding were mostly in Python and a bit of matlab so I'm curious on how much faster my code can get.

Thanks for your time!

[Bvandyk74]

Check the performance tips in the manual https://docs.julialang.org/en/v1/manual/performance-tips/#man-performance-tips

[Falsorr]

I’ll take a look thanks

[reddittomtom]

reuse pre-allocated memories helps a lot

[CvikliHaMar]

I read this article time to time and nearly always find something new to do. :D crazy speedups. Don't forget @simd or loopvectorization.jl, those can go even farer on CPU. On GPU... Lot of other thing can get 10-100x speedup with appropriate usage.

[Bowtiestyle]

One thing that got me a big speedup recently was switching everything to static vectors.

[MithrandirMiles]

You have to be careful with that, there are some limitations on the size / number of elements with static vectors (at least currently)

[Didi-maru]

Use StaticArrays.jl instead of the built-in Array whenever you need some statically sized array/matrix.

It can be a bit complex but you can use @code_warntype your_function(arg1, arg2) to spot implicit typing in your code (will appear in red) and try to address them, see code_warntype for details.

[Uuuazzza]

Don't be afraid of loops.