Diagnose slow Python code. (Feat. async/await)

Just get some more ram or a bigger cpu

There is no slow pyhon code.
It's just Python

Easy, just dont use python. Only compiled languages are worth it

Diagnose show Python code, really? It's Python, it's designed to be slow.

Bruh this didint help at all :(
Im already threading it...

All python code is slow.

Lançou a braba!

I wanted to see a comparison of both versions of the errant function but that wasn't done.

What are the advantages of SnakeViz over KCacheGrind?

"I know it looks pretty simple " he says...

Your channel is amazing! thanks a lot for such excellent and useful content!

Great video thanks! What is the difference between running cProfile.Profile() vs cProfile.run()?

Thank you for making such a high quality video. Amazing.

Masterpiece! Thanks for your effort, I managed to get my hands to keyboard from other side of sofa just to write this comment.

After running it with my project I've found out that 95% of the time is spent on ~:0(<method 'acquire' of '_thread.lock' objects>). I.e. it doesn't analyze the code run in the threads.

There’s no such thing as fast python 🙂

Question: How to make a python program run faster
Answer: Rewrite that in basically any other language

Nice tricks you put here. Thanks a lot.

Yay my console application is now working with 1000+ FPS. My monitor is 60Hz so it doesnt really matter. I only needed 60 FPS.

Thank you so much for contributing to the community in such a wonderful way!

Does asyncio.gather() actually allow for them to complete in whatever order they complete in? I feel like in my testing, it blocks in the order of the tasks in the list. I know that asyncio.as_completed() was made for that purpose.

whenever i see someone use perf_counter(), i find a CoreyMS student :).

awesome

All python is slow.

they seriously named it 'cumtime'?

Hm. So asyncio is good. I'm a little stuck understanding how that's not parallel processing as in different threads.

So when this sends out an async request, it's like this?:

send request > check for response > send request > check for response > send request ...

instead of:

send request > wait for response > send request > wait for response ...

Add threading or multiprocessing and boom 💥

I always use threading using loop requests

Thank you very much!!! Your advice helped me out!

if you made a course I would buy it, you are amazing!

This is a great video. Wow. Thanks!

Liked and subscribed!! That was helpful

Could you make a video explanining asynchronous and parallel programming technically? I see many others just give a broad overview of how to use the library, not explain what it does under the hood. Great content!

very useful, thanks

<3

Man!
You create amazing content! Thanks for all.

Hey there,have you heard of line_profiler? It's an amazing package that will document exactly how much time each line in your code takes. I use it similarly to these features, but it is far easier to implement. (Just import at the top and add a @profile decorator to any functions you want to be profiled)

Nice.

Opinion: JS has got its async/await much better & easier to use.
This is the equivalent JS code for the htmls:

const htmls = await Promise.all(
urls.map(async (url) => {
const res = await fefch(url);
return await res.text();
})
);

lmao cumtime

Marvelous :D

Funny thing is, i made a project that does the 3n1 check for a long range of number, and save the step and result in a file... I wrote in both c++ and python, surprisingly python took half as much time... i guess python is better in writing optimized c++ code than me😅😅

Brilliant! Thank you.

you probably dont mention a critical thing. when i copy your code into my spyder it doesnt work and throws an error "AttributeError: __enter__" .

Hey, Im curious. If you retrieve you URLs using map instead. Would that also take so long?