Built-in Functions

Function	Description
`assert(condition)`	Panics if `condition` is falsy
`assert(condition, message)`	Panics with `message` if `condition` is falsy
`panic(message)`	Immediately halts execution with an error message
`dict()`	Creates a new empty dictionary
`dict(key=value, ...)`	Creates a dictionary with string keys from keyword names
`Range(start, end)`	Creates a range from `start` (inclusive) to `end` (exclusive)
`enumerate(iterable)`	Returns an iterable yielding `(index, value)` tuples
`filter(iterable)`	Returns a list of truthy values from any iterable
`filter(iterable, fn)`	Returns a list of values where `fn(value)` is truthy
`average(iterable)`	Returns the arithmetic average, or `0` for an empty iterable
`bool(value)`	Converts a value’s truthiness to a boolean
`str(value)`	Converts a value to a string
`repr(value)`	Converts a value to a string with an equivalent in source code (where possible)
`int(value)`	Converts a value to an integer (panics on failure)
`float(value)`	Converts a value to a float (panics on failure)
`try_int(value)`	Converts a value to an integer, returns `None` on failure
`try_float(value)`	Converts a value to a float, returns `None` on failure

print(int("42"))
print(float("3.14"))
print(str(123))

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The try_ variants return None instead of panicking on invalid input:

let good = try_int("42")
print(good)
let bad = try_int("hello")
print(bad)

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Generic iterable helpers work with lists, ranges, strings, dictionaries, and custom iterators:

for i, value in enumerate(["a", "b"]) {
    print(i, value)
}

print(filter([0, 1, "", "ok"]))
print(average([2, 4, 6]))
print(average([]))

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