Datatypes

ASnake Documentation

Summary:

Datatypes are information that a Python interpreter or compiler can use to compute. This is the very basics, and a fundamental which all Python code, and thus ASnake code, will rely on.

If you are aware already of Python datatypes, you can skip this page. However, bool is slightly different.

There are more datatypes than this page will cover. The official documentation on these datatypes are here:
https://docs.python.org/3/library/datatypes.html

Scalar types:

Represents a single value.

Syntax int:

Stands for integer. It is any number.

123
-12
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Can be represented as hexidecimal or octal, if you're a nerd.

0xFF
0o11
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Syntax float:

Stands for floating point. It's a decimal. Integers and decimals are separate, though they often intermix when operating upon them.

12.1242
-3.14
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Syntax str:

Stands for string. It's text!

"It look's something like this"
'or this'
"""Or this if you wish to have
multiline text, which can be useful sometimes."""
"1234"
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Syntax bool:

Any expression results in a result which is True, False, or even None. The primary purpose of this is for conditionally executing blocks of code when comparing.

In ASnake, it does not matter if these values are capitalized.

true
FALSE
None
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Iterable types:

Iterables can be iterated upon by loops or have individual elements accessed by indexes.

Syntax list:

An extendable array of other datatypes.

['this', 12, "is", 6.999999999 , """A LIST!"""]
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Syntax tuple:

An array similar to a list, but non-modifiable. It can accept any datatype.

('123',12.345,"this is a tuple")
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Syntax dict:

Stands for dictionary. You can have a int or str represent any datatype, including a list and dict.

{'ASnake':"is a transpiled language", "My favorite number is": 12, 9:[1,2,3,4,5,6,7,8,9]}
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