Static type checking provides code-level safety.
- It analyzes the code without running it (before code execution)
- It catches developer mistakes ahead of time (during compile time)
- In Python, it uses Type Hints for Typing
Letβs consider the following User Pydantic model and Python function:
from pydantic import BaseModel
class User(BaseModel):
age: intdef process_user(user: User) -> int:
return user.ag + 10 # TypoIn the function, we have a typo: user.ag should have been user.age.
- If we donβt perform static type checking, the Python code will run (because it is dynamically typed) and crash at runtime by throwing an
AttributeError. - With Static Analysis, we can find this typo bug before executing the code. It helps with catching code mistakes early.
Python
Following are some of the popular static type checking tools for Python.
