We all love and know our trusted series, but certain apps need all the performance they can get, especially when dealing with large datasets. For that specific reason, the vector!, map!, and hash! datatypes were constructed.
Datatypes for performance
The vector! datatype
When your series contains values of one of the integer!,float!, char!, or percent! types and only one of these, and you need fast mathematical operations, then you want to use the vector! type, like this:
;-- see Chapter10/perf-datatypes.red:
v1: make vector! [7 13 42 108]
vector? v1 ;== true
In a vector!, all values need to be of the same type. You can perform simple arithmetic with vectors like so:
v1 + 2 ;== make vector! [9 15 44 110]
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