Using Type Hints for Multiple Return Types in Python (Summary)
Although type hinting is optional, it’s a useful concept to make your code more readable, user-friendly, and easier to debug. Type hints signal to other developers the desired inputs and return types of your functions, facilitating collaboration.
In this video course, you focused on implementing type hints for more complex scenarios and learned best practices for using and maintaing them.
In this video course, you’ve learned how to use:
- The pipe operator (
|
) or theUnion
type to specify alternative types of one piece of data returned from a function - Tuples to specify distinct types of multiple pieces of data
- The
Callable
type for annotating callback functions - The
Generator
,Iterator
, andIterable
types for annotating generators - Type aliases for type hints to help simplify complex type hints that you reference in multiple places in your code
- Mypy, a third-party tool for type checking
Now you’re ready to use type hints in a variety of scenarios. How do you use type hints in your code? Share your use cases in the comments below.
Congratulations, you made it to the end of the course! What’s your #1 takeaway or favorite thing you learned? How are you going to put your newfound skills to use? Leave a comment in the discussion section and let us know.
00:00 Summary. Well done. You’ve made it to the end of the course. Although type hinting is optional, it’s a useful concept to make your code more readable, user-friendly, and easier to debug. Type hints signal to other developers the desired inputs and return types of your functions, facilitating collaboration.
00:19 In this course, you’ve focused on implementing type hints for more complex scenarios and learned best practices for using and maintaining them.
00:27
In this course, you’ve learned how to use the pipe operator or the Union
type to specify alternative types for one piece of data returned from a function, tuples to specify distinct types of multiple pieces of data the Callable
type for annotating callback functions, the Generator
, Iterator
and Iterable
types for annotating generators, type aliases for type hints to help simplify complex type hints that you reference in multiple places in your code, and mypy
, a third-party tool for type checking.
00:59 Type hints are a useful tool in improving clarity of your code, particularly in complex code bases, and you are now ready to use them in many situations.
01:08 We hope you found this course useful and we’ll see you again soon at realpython.com.
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