When should I use type annotations in Python?

Nikeee00 report abuse

I am learning Python and recently I have noticed that sometimes variables, function parameters and outputs are types annotated. Python is the dynamically typed language, so why should we use this feature that resembles statically typed languages?

Answers

LatM0919 report abuse

You are right, Python is a dynamically typed language and it is its strength. This makes Python very flexible and versatile. But sometimes it becomes its weakness. There are many situations where you want to emphasize that the given variable is intended to be an integer (or string, or another type, etc). This helps in code maintenance, refactoring and debugging. Also, this makes the life of your coworkers a little bit easier.

Zuska report abuse

I just want to add that some IDEs (for example, PyCharm) helps you to write clean and understandable code. In the same time, they can be wrong when showing you some tips about variables types, or function parameters and return object types. But when you explicitly specify types, this feature of IDE works significantly better.

Nikeee00 report abuse

Interesting... When this PyCharm's functionality could be useful?

Zuska report abuse

For instance, you annotate the function so that it should return an integer. Then you write a lot of code and call this function. But it returns a string. PyCharm can detect this and notify you about the possible issue even before you run this code.

Nikeee00 report abuse

Thank you, now it becomes more clear for me.

Add Answer

Need support?

Just drop us an email to ... Show more