include link to prelude
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@ -78,6 +78,8 @@ e.g., running `doc! (add)` will send the documentation for `add` to the console.
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For more information on the syntax & semantics of the Ludus language, see [language.md](./language.md).
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For more information on the syntax & semantics of the Ludus language, see [language.md](./language.md).
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The prelude itself is just a Ludus file, which you can see at [prelude.ld](./prelude.ld).
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## A few notes
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## A few notes
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**Naming conventions.** Functions whose name ends with a question mark, e.g., `eq?`, return booleans.
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**Naming conventions.** Functions whose name ends with a question mark, e.g., `eq?`, return booleans.
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Functions whose name ends with an exclamation point, e.g., `make!`, change state in some way.
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Functions whose name ends with an exclamation point, e.g., `make!`, change state in some way.
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@ -92,8 +94,7 @@ This should be enough to indicate order of arguments, types, and so on.
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**Patterns often, but do not always, indicate types.** Typed patterns are written as `foo as :bar`,
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**Patterns often, but do not always, indicate types.** Typed patterns are written as `foo as :bar`,
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where the type is indicated by the keyword.
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where the type is indicated by the keyword.
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Possible ludus types are: `:nil`, `:boolean`, `:number`, `:keyword` (atomic values);
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Possible ludus types are: `:nil`, `:boolean`, `:number`, `:keyword` (atomic values);
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`:string` (strings are their own beast); `:tuple` and `:list` (indexed collections); `:set` (sets are specific),
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`:string` (strings are their own beast); `:tuple` and `:list` (ordered collections), `:set`s, and `:dict`ionaries (the other collection types); `:pkg` (packages, which are quasi-collections); `:fn` (functions); and `:box`es.
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`:dict` and `:ns` (associative collections); and `:ref` (references).
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**Conventional types.** Ludus has two types based on conventions.
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**Conventional types.** Ludus has two types based on conventions.
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* _Result tuples._ Results are a way of modeling the result of a calculation that might fail.
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* _Result tuples._ Results are a way of modeling the result of a calculation that might fail.
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