Відео

amazing explanation

it is a amazing video really, thank you

❤

As the number of threads grows it seems the first one gets preferential treatment.

Very useful bits. Thank you. Subscribed.

Great stuff. I look forward to scoping your channel. Thanks. Subscribed. Cheers

Why would I ever want to use multi-threading since it's just concurrent but not parallel? what advantages it brings over not using multiple threads?

Fantastic video. Can you please upload the nonlinear 2d pde solutions?

Hi! Great video, I just wanted to ask for clarification around 19:40, my project is running large amounts of data onto one function iteratively, and I'm trying to use multiprocessing with Pool and ThreadPoolExecutor to speed up the process. What do you recommend in this case would be the best approach? Because I know you said in the video that multiprocessing doesn't work well with large amounts of data.

Brilliant 👍

Great video. Thanks

Best. Explanation. Ever. You must have put so much time into this video. Thank you for that!

Hi, I liked very much this video. In real world, how this could be implemented? I guess it is using op-amps. Is there some real world example you could show us? Thank you very much

Dear Dave, Looks like you have the perfect graphical view of the threads and cpu usage.. is it possible to get this python code so as I can run on my PC ?

Very good!

im deploying a python API file on amazon ec2 where one function in it utilizes multiprocessing to parallelize some data processing - assigned 2 CPU cores1 Now if this api is deployed and if the api receives 100 concurrent calls will api fail because it exceeded the processor capacity or any other cause to fail???

Thank you so much for this video! I was trying to do a physice simulation where I am animating particle movements... This tutorial made my animation generation more than 10 times faster!

I can't thank you enough!

Thank you for your excellent video. On line 103 of your code, is shows lineL.set_data(t[frame], y[frame]) where frame is a single number from range(N). This produces an error. Please tell us why your code functions. Thank you!

Awesome channel thanks for your effort, i hope you post more videos on comm. systems

Thanks 🙏

David, your video helped me a lot to understand more QAM. What software do you use to make these dynamic graphs? Thank you very much!

кто еще здесь с курса Шибаева по многопоточке )) ?

12:15 .copy() returns a shallow copy, right? You were talking about deepcopies

If we pandas for data analysis task, what should we use multithreading or multiprocessing?

in 2.15: Why A(1- cos) ~ A

dude keep it up

Could you explain how to get the filtering signal phase sync'd with the carrier signal ? Is frequency sync also an issue, because maybe there could be slight differences in the freq of the emitter and the receiver.

Very good explanations of QAM !!

Modulation ka spelling galat hai

one of those hidden gem channels

This is the very best explanation of threading vs multiprocessing that I have ever seen. Well done!

❤this is amazing

really good visualization of the process!

what's a negative amplitude? (10:00)

Such an underrated video, thanks a lot for such an informative series

Were doing 1D finite difference method along the length of the reactor. Can I phone a smart friend? Your future president is getting creamed by the school right now!

All the videos are incredibly good! 💯

Nice video, but they are not clocks; they are counters.

in 8:29 you said that , 2 million function calls across all threads are done , how you computed it , can you explain little more

wow

Which software is used to monitor the activity?

Excellent video! Thank you!

Rust>>>>>>>python Rust is just better, the Austrian painter was right

In summary, Python supports multiprocessing but not multi-threading.

This is helpful ❤

Thanks ❤

Python Removed GIL

Really informative video¡¡ I struggled a bit with the accent and speed but it's really good¡

Where are you getting the information that python threads are managed by the CPython interpreter? That's not impossible, but it would be unusual -- they could implement them much more easily in terms of actual OS-managed threads. All they need to do is to manage the locking and unlocking of the GIL before and after running the user code.