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Using _vectors_ as fundamental datatype could make for a really neat experience.
Imagine e.g.:
* fundamental arithmetic operations that apply to both vectors and scalars
* implicit component-wise or vector-wise operations
* scalar values as 1D vectors
* higher order functions to manipulate those vectors
* `map` function that applies a (quoted?) word to all vector elements and returns the result
* efficient parallel operations
* a rich library of vector manipulation functions
* or even: matrices as a fundamental datatype?
* problem: probably harder to conveniently enter via a 1-D repl
* sound more and more like a RPN version of APL…
Back to reality, here is what this prototype actually adds:
* new `DList!int` based datatype alongside the existing int, string and bool types
* basic support for printing such values in a readable fashion
* new fundamental `:` word that constructs a vector of two elements
* `1 2 :` yields `[1, 2]`
* adapted `+` and `*` to support component-wise operations
* `1 2 : 3 +` yields `[4, 5]`
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