function myFunction(a: number, b: number): void { console. log(a); console. log(b); } // 👇️ type T = void type T = ReturnType<typeof myFunction>; If the function might return values of multiple types, its return type will be a union type.
A function may be defined to return any type of value, except an array type or a function type; these exclusions must be handled by returning a pointer to the array or function. When a function does not return a value, void is the type specifier in the function declaration and definition.
5 Types of Arguments in Python Function Definition:keyword arguments. positional arguments. arbitrary positional arguments. arbitrary keyword arguments.
The argument is any string you pass to your function when you call it. The return value is the number of words.
Well things have changed a little bit since 2011! Now there's type hints in Python 3.5 which you can use to annotate arguments and return the type of your function. For example this:
def greeting(name):
return 'Hello, {}'.format(name)
can now be written as this:
def greeting(name: str) -> str:
return 'Hello, {}'.format(name)
As you can now see types, there's some sort of optional static type checking which will help you and your type checker to investigate your code.
for more explanation I suggest to take a look at the blog post on type hints in PyCharm blog.
This is how dynamic languages work. It is not always a good thing though, especially if the documentation is poor - anyone tried to use a poorly documented python framework? Sometimes you have to revert to reading the source.
Here are some strategies to avoid problems with duck typing:
Also, one of the most important points:
There should only be a few well-defined and documented types being passed around. Anything else should be obvious by looking at the code: Don't have weird parameter types coming from far away that you can't figure out by looking in the vicinity of the code...
Related, (and also related to docstrings), there is a technique in python called doctests
. Use that to document how your methods are expected to be used - and have nice unit test coverage at the same time!
I attended a coursera course, there was lesson in which, we were taught about design recipe.
Below docstring format I found preety useful.
def area(base, height): '''(number, number ) -> number #**TypeContract** Return the area of a tring with dimensions base #**Description** and height >>>area(10,5) #**Example ** 25.0 >>area(2.5,3) 3.75 ''' return (base * height) /2
I think if docstrings are written in this way, it might help a lot to developers.
Link to video [Do watch the video] : https://www.youtube.com/watch?v=QAPg6Vb_LgI
Yes, you should use docstrings to make your classes and functions more friendly to other programmers:
More: http://www.python.org/dev/peps/pep-0257/#what-is-a-docstring
Some editors allow you to see docstrings while typing, so it really makes work easier.
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