It is kind of annoying: I saw this on the internet: julia> Array(ones(2,2)) 2×2 Array{Float64,2}: 1.0 1.0 1.0 1.0 but when I do it in my terminal I get: julia> Array(ones(2,2)) 2×2 Matrix{Float64}: 1.0 1.0 1.0 1.0

[image] Schneeschaufel: So Julia is not backwards compatible. Julia follows semantic versioning, which means that minor version updates are backwards compatible. Code that worked on v1.0 must work on 1.8, etc. If a new version is introduced that breaks backwards compatibility, then the major …

[image] Schneeschaufel: IDL data language also does not make a distinction between vectors and arrays as far as I know. I presume you mean it doesn’t distinguish vector and matrix. Vectors are a type of array, as is matrix, but they are different. I don’t know IDL, but I linked to a post whe…

[image] DNF: and comes up everywhere in practical coding I should have said “rarely comes up in practice for me”. I don’t claim to be typical in my uses, my point was that there’s clearly a (well thought out) reason for the way things are done, and after a bit of initial confusion on my part,…

Never came across or heard of vectors in NumPy (I am using Python > 3.8 and a NumPy compatible version in Conda). What would those vectors be in NumPy?

[image] kevbonham: I should have said “rarely comes up in practice for me”. Maybe you don’t use Matlab :wink: Julia takes care of the distinction for you, so you basically rarely have to think about it. In Matlab, you must always be aware of this, and constantly check explicitly whether you a…

[image] Schneeschaufel: What would those vectors be in NumPy? It’s the regular 1D arrays Array creation — NumPy v1.26 Manual a1D = np.array([1, 2, 3, 4]) Perhaps you mean they are not called “vector”? But the point is that you never have to wonder whether to represent a vector as a row or …

[image] DNF: Maybe you don’t use Matlab :wink: :dart: I don’t use much of anything other than Julia these days, though I used to do more python/R. But in python I rarely had need of something more performant then a list, and in R it was basically just “read in the CSV and plot it.”

[image] Schneeschaufel: **julia>** Array[[5,6],[9,78]] 2-element Vector{Array}: It should rather print: **julia>** Array[[5,6],[9,78]] 2×2 Matrix{Int64}: Both are correct syntactically, but they do different things. A Vector is a “flat” collection of items. An Array is a collection of ite…

I know and this was my point. An array consists of vectors of vectors etc. Yes the vectors have to return the same length. In NumPy I often have something like this (treating the list as kind of a poor mans vector): erg=[] for i in range(5): erg.append(xxxx) np.array(erg) where xxxx is a Num…

[image] Schneeschaufel: I know and this was my point. An array consists of vectors of vectors etc. No, an array does not have to be nested. It can contain any type of data, including plain numbers. So [1,2,3] is an array, too, as is a matrix, [1 2 3; 4 5 6], etc. The point of Array is that i…

Julia type displaying change between versions

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Julia type displaying change between versions

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