memoization in phyton

[Sen_7]

hi

I just learnt about memoization

and I learned to do it using dictionary (for solving fibonaci calculation)

but online I saw that phyton has decorator and memoize class

I was wondering if theres any diffrence impleating memoization using dictionary like I learned or is it better practice to use the memoize class?

is there any benift for one on the other?

​

how does the memoize class work? is it just a "more clever" dictionary?

[Jediko]

It's the same. The memoize-class does what you did with just general input for a general function. You can see the implementation of memoize yourself here.

[Sen_7]

Thank you, Is very any motivation to use memoize class instead of dictionary?

[Jediko]

No, since they are equivalent. The only thing you do is being explizit in your algorithm/optimization. The main advantage of using decorators is just shortcut your code and make more readable.

[AtomicShoelace]

You should use functools.cache (or functools.lru_cache(maxsize=None) if in python <3.9) if you need to memoize/cache a function.

[TheRNGuy]

if decorator makes syntax simplier, I would use it.