Decorators in Python: How to Write Your Own Custom Decorators

The decorator design pattern in software engineering, is generally when you extend something (like an object or a function) with additional functionality.

In this video, you'll learn what a decorator is, and learn how to apply them to time and optimize a function.

00:00 Introduction
01:09 What are decorators?
01:37 Writing a "timer" decorator
04:51 Using a decorator to cache Fibonacci
08:50 Python built-in decorators

#python #decorators

[michaeldprovenzano]

This is the best video about python decorators i've ever seen! They examples are very helpful and simple.

[TopSecretBase]

Just wanted to let you know your channel actually helped get me a SWE internship, so thanks a lot!

Also another example of a built-in decorator is the cache decorator from the functools module which actually would probably work on the fibonacci function example used here.

[chrisk]

Thanks for the video. I also like the VS code theme and font. Does someone know the name of it?

[moony-]

I playing with the fibonacci algorithm and saw that if there's a cache_result on the main fibonacci not the one with the timer it's incredibly fast! It does the 496th number in less than a sec; if done propperly!

[nesa]

from functools import lru_cache

@lru_cache(maxsize=None)
def fibonacci(n):
if n <= 1:
return n
else:
return fibonacci(n-1) + fibonacci(n-2)

# First function call will be slow as it computes and caches the results.
print(fibonacci(10))

# Subsequent calls with the same argument will be faster due to caching.
print(fibonacci(10))

[jesusperdomo]

Greetings, @pixegami the content that you share is of great value, I am very grateful to you. For when you plan to make another SAAS

[sir_brian_d]

Use time.perf_counter() not time.time()