str_example = "Evry"
int_example, float_example, complex_examle = 1, 2.0, 3j
liste_example = ["Evry", "Courcouronnes"]
tuple_example = ("Evry", 77)
range_example = range(77)
map_example = {"Evry": 77}
set_example = {"France", "Italy", "Spain"}
frozenset_example = frozenset({"France", "Italy", "Spain"})
bool_example = True
binary_example = b"Evry"
byte_array_example = bytearray(5)
memory_view_example = memoryview(bytes(77))
none_type_example = None2-Data types
Notebook
Link to the Google Colaboratory notebook: 2-Data types
Build-in Data Types
Variables can store different type of data and then act differently for each type.
Default Build-in types
| Name | Type |
|---|---|
| Text | str |
| Numeric Types | int, float, complex |
| Sequence Types | list, tuple, range |
| Mapping Type | dict |
| Set Types | set, frozenset |
| Boolean Type | bool |
| Binary Types | bytes, bytearray, memoryview |
| None Type | NoneType |
Here is an example for each type:
Type
You can get the type of any variable using the type function:
x, name = 77, "Evry"
print(type(x), type(name))<class 'int'> <class 'str'>Cast
It is sometimes possible to convert a type to another.
To do so, you just need to pass the type name.
x = int(2.0) # convert a float into an integer
y = int("2") # convert a string into an integer
print(type(x), type(y))
z = float(1) # convert an integer to a float
a = float("1") # convert a string to a float
print(type(z), type(a))
name = str(77) # convert an integer to string
name_2 = str(2.3) # convert a float to string
print(type(name), type(name_2))<class 'int'> <class 'int'>
<class 'float'> <class 'float'>
<class 'str'> <class 'str'>