Functools is one of the MOST USEFUL Python modules

Подписаться 18 тыс.

Просмотров 32 тыс.

50% 1

Functools is definitely one of the more useful packages in the standard lib; it's amazing I haven't covered it yet! Some stuff in functools needs its own video, so look out for further installments in the functools saga!
-
If you enjoy my content, consider supporting me on Patreon or becoming a member!
patreon.carberra.xyz
join.carberra.xyz
If you need help with anything, feel free to join the Discord server:
discord.carberra.xyz
I get a lot of people asking, so here's my Visual Studio Code setup!
• My Visual Studio Code ...
-
If you have any questions, don't hesitate to ask in the comments! I'll try and answer as soon as I can, providing someone else hasn't already done so.
#python #coding #howto

Опубликовано:

6 янв 2023

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист

Посмотреть позже

Комментарии : 39

@Carberra Год назад

Slight correction: The @cached_property and the @property @cache decorator combo are functionally identical as I stated. While they do the same thing, they do it in different ways.. For example, you can't use a @cached_property in a slotted class, but you can use the other method just fine. @cached_property also allows writes by default.

@BeesAndSunshine Год назад

Careful with an example like the one at 7:00. If instead of 3, x was bound to a mutable object, and then a mutable operation was done to that object, the change would be reflected in partial.

@friendliness1337 Год назад

Thanks for the video! Only just discovered your channel and I've already discovered a fair few new things or finally grasp things I didn't fully understand before :) Really like the way you explain things!

@Carberra Год назад

Glad I could help out! (:

@MrJet84 8 месяцев назад

Very useful lesson. Thank you!

@aaronater1088 Год назад

always great stuff man 👌 Definitely will be using cache and partial on some projects

@Carberra Год назад

Thanks! Yeah I've used partial before, but never played too much with caching, something I'll deffo be changing.

@tan.nicolas Год назад

you are amazing man! cheers and thanks from Chile!

@Carberra Год назад

Thank you!

@benjaminfranklin329 Год назад

Thanks, I'd not actually seen wraps or cache before. I've been manually implementing these for years...

@JorgeEscobarMX 6 месяцев назад

That partial function seems useful when you don't have all arguments at the same time. Some times you'll need to process something or wait for an api response to get the rest of the arguments.

@miguelvasquez9849 7 месяцев назад

great video, i have a question. In the next script, why does the function only print "adding" twice?, i think it should print 3 times, one for each different sequence number. @cache def add(value1, value2): print('adding') return value1 + value2 sequence = [1, 1, 2, 3, 1, 2, 2] for num in sequence: print(add(2, num))

@Carberra 7 месяцев назад

Thanks! Just ran it myself and it prints three times for me. I almost missed the first time it printed adding, maybe you did the same?

@Fine_Mouche Год назад

10:00 it's weird to me to use time.sleep() and @cache in/on the same function, what can be a true use of that combination ?

@Carberra Год назад

I just used the sleep to represent a function that takes a long time to execute. You'd probably never need to combine the two in the real world.

@benjaminfranklin329 Год назад

You might use cache with a function that accesses a slow resource such over a network, where you don't care about any updates that may happen to that resource. If you needed to read a configuration file from say a web server or s3 for example.

@fire17102 Год назад

Really nice channel! How can @cache be exported or saved? I'd like it to not reset every runtime for certain functions and properties :) Thanks🙏 👍

@Carberra Год назад

Thank you, glad you like it! Afaik you can't do that with @cache, but there are some options available: 1. Build your own implementation on top of @cache 2. Use Redis -- it's designed for on-disk caching (so it'll persist between runtimes), and it's ludicrously quick. I don't have a video on the channel, but sounds like it could be a nice idea.

@fire17102 Год назад

@@Carberra thanks for the quick reply! Already using redis :P Can probably make a @cache_redis pretty easily, thanks :)

@Carberra Год назад

Yeah, I think the way my work does it is by creating a decorator and decorating the wrapper function with the @cache deco.

@benjaminfranklin329 Год назад

For basic problems where running redis, you could wrap wrap read/write a pickled object. Obviously, this has some security and performance implications, so may not be appropriate

@SonnyGeorgeVlogs Год назад

Joblib's cache does it this way (w/ pickle) (no need to build it yourself)

@johnstarfire Год назад

What if you called the wrapper add?

@dragweb7725 5 месяцев назад

that only works if you only use the wrapper on the add function, but the goal of a decorator is to be used on many different functions on which you want to add the same bit of actions. In this example if you wrote another function called "substract" you can apply the with_greetings decorator on both add and substract and it will still work properly for both

@Andrumen01 7 месяцев назад

I am guessing that if you have some random process in a function, using the @cache decorator will not be convenient. That would be useful for deterministic functions....a word of caution! Also, maybe calculating some Fibonacci with the @cached property would be an interesting exercise!

@Carberra 7 месяцев назад

You've more or less predicted a video going live in a few weeks! I focus specifically on caching there, including a Fibonacci example! 😄