I’ve been reading all reference materials of Julia seen alot of scopes, … all things. Would you please paint a code of mistake that begineer (especially python developers) do when writing simple like (variable, functions, let, module while, for, scoping, datatypes, dictionaries…etc) Thank your ex…

I think I have a slightly different take on the original question. It is based on a false premise in my opinion. I do not think that anybody telling you “things you should be aware of” is going to help you learn to code in Julia (or any language). Beyond superficial differences in syntax, you will l…

[image] paulmelis: Vectors of Bool show 0 and 1 elements values when printed instead of true and false , leading you to believe that the values are of type integer Well… julia> supertype(Bool) Integer Bool is a type of Integer (i.e., the abstract type) in Julia. But I understand your annoy…

[image] Henrique_Becker: julia> supertype(Bool) Integer Bool is a type of Integer (i.e., the abstract type) in Julia. But I understand your annoyance. If you see numbers without decimal places it is easy to assume Int and not to think of Bool . It’s also the inconsistency compared to singul…

FWIW, I consider this a feature rather than an inconsistency.

Feature in what way? What’s the advantage?

julia> X = rand(["true", "false"],10,10) 10×10 Array{String,2}: "false" "true" "false" "false" "true" "false" "false" "true" "true" "true" "false" "false" "false" "false" "false" "true" "true" "false" "false" "true" "false" "false" "false" "true" "false" "false" "fa…

[image] paulmelis: It’s also the inconsistency compared to singular values That’s just how they are printed in a compact form.

It’s possible that this compact printing should be turned off for vectors? E.g.: julia> rand(ComplexF64, 2, 4) # Compact printing 2×4 Matrix{ComplexF64}: 0.471554+0.731366im 0.832658+0.694934im 0.21162+0.420378im 0.558943+0.646677im 0.904187+0.33054im 0.545873+0.438978im 0.712625+0.785231…

The fact that Bool <: Integer leads to a bigger problem that you have to be very careful when implementing indexing and it gets done inconsistently even in Julia Base: julia> (1,2,3)[true] 1 julia> [1,2,3][true] ERROR: ArgumentError: invalid index: true of type Bool julia> (a=1,b=2,c=3)[true] ERR…

That’s a good point and should be considered (might have been?). Personally, I still prefer the 1,0 representation for (long) vectors, though.

Good list. While I know different programming languages, I initially started using Julia as I program in Python, and I find the majority of them. In particular, I spend months without realising that many of my functions returned values even when I did not use return, it was very confusing for me …

What are common mistakes in julia that beginners should aware of?

New to Julia

lmiq September 20, 2022, 2:43pm 67

Something on the lines of this would be useful as well: Common allocation mistakes

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What are common mistakes in julia that beginners should aware of?

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