How does the @ syntax apply a decorator?
PICTURE THIS: STACK VS QUEUE
Simple meaning
@my_dec above a function is the same as func = my_dec(func) after the def.
WHY — Decorators instead of guessing?
Why interviewers care about Decorators:
question about Decorators.
trade-offs, and what you would actually do on a Python project - not buzzwords.
Name the idea, why it exists, then one short example.
End with when you use it and one common pitfall.
STEPS — What happens step by step?
Before you speak the answer, walk the interviewer through these steps:
- 1@my_dec above a function
is the same as func = my_dec(func) after the def.
- 2For argument-taking decorators, @my_dec(arg)
first calls my_dec(arg) and then wraps the function with the result.
- 3Stacked decorators apply from
the inside out, closest first.
- 4Give an example
One tiny concrete case you can say aloud.
- 5Common mistake
What juniors usually get wrong.
- 6Close
When you pick this over the alternative.
EXAMPLE — See it in action
Here's a short line you can speak, broken into clear beats:
Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.
Key takeaway
@my_dec above a function is the same as func = my_dec(func) after the def. For argument-taking decorators, @my_dec(arg) first calls my_dec(arg) and then wraps the function with the result.