python typing list of strings
from typing import List
def my_func(l: List[int]):
pass
python typing list of strings
from typing import List
def my_func(l: List[int]):
pass
python optional type annotation
from custom_module import SomeClass
from typing import Optional
class SubClass:
a_reference: Optional[SomeClass] # Provides info that a_reference may be 'None'.
def __init__(self):
self.a_reference = None
python static type
# In Python, typing is dynamic. You can, if you want, change the type
# of a variable at will (don't do that please)
# Lets define an integer in python using type hints.
an_integer: int
# Now you can give it a value
an_integer = 5 # an_integer now have the value 5
# But you can't change the type anymore
an_integer = "a string" # Your IDE will give you an error
# You can also define the value and the type on the same line
an_integer: int = 5
"""Note : The Python runtime does not enforce function and variable type
annotations. They can be used by third party tools such as type
checkers, IDEs, linters, etc."""
# You can give a special type for enumerators
from typing import List
an_integer_list: List[int] = [0,1,2,3]
"""
# Writing
my_list: list
# Is the same as
from typing import Any
my_list: List[Any]
"""
# You can give multiple type
from typing import Union
string_or_integer: Union[int, str]
string_or_integer = 5 # Will work fine
string_or_integer = "a string" # Will work fine
string_or_integer = [] # IDE will give an error
# They are lot of interesting things that you can do with static type.
# Take a look at https://docs.python.org/3/library/typing.html
Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us