Day_00: Get set up
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Day_00: Get set up¶
Turns out Julia uses base-1 indexing so I’m off to a rocky start ;)
conda create julia
conda install -c conda-forge julia
enter Julia command with
julia] add IJuliaadds Julia to the Python/conda environment (I think)
Playing with interactive code:
x = [1, 2, 3]
creates and displays the 3-element Vector{Int64}.
Trying to get dot product:
> x*x
ERROR: MethodError: no method matching *(::Vector{Int64}, ::Vector{Int64})
The default is a column vector, e.g. \(3\times1\). So trying to multiply these together gives me a mismatched indices error.
Correcting the approach:
> transpose(x)*x
14
I can even reverse it and get the outer product
> x*transpose(x)
3×3 Matrix{Int64}:
1 2 3
2 4 6
3 6 9
Wrapping up¶
I didn’t spend a long time in Julia today, but I really like what I see so far. I still don’t understand how you would deal with environments/dependencies.
It seems like you should be using the latest version of Julia (1.7.2 in this case) and the latest version of Jupyter (3.2.5). It looks like I should be using
the pkg> mode to setup+manage environments within Julia REPL [Set up Julia environments].