Best. Explanation. Ever. You must have put so much time into this video. Thank you for that!
@anlpereira20 күн бұрын
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
@shahanazpatel-gd2cqАй бұрын
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 ?
@o2blomАй бұрын
Very good!
@Gametime00789Ай бұрын
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???
@athipthirupathiraj2035Ай бұрын
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!
@nohaelgammal4782Ай бұрын
I can't thank you enough!
@electron46Ай бұрын
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!
@Anasfrag89Ай бұрын
Awesome channel thanks for your effort, i hope you post more videos on comm. systems
@tripathi26Ай бұрын
Thanks 🙏
@user-mi1dn5gt9xАй бұрын
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!
@non5309Ай бұрын
кто еще здесь с курса Шибаева по многопоточке )) ?
@TragicGFuelАй бұрын
12:15 .copy() returns a shallow copy, right? You were talking about deepcopies
@shriramsethi8296Ай бұрын
If we pandas for data analysis task, what should we use multithreading or multiprocessing?
@PhuLeVan-no5qyАй бұрын
in 2.15: Why A(1- cos) ~ A
@benr3346Ай бұрын
dude keep it up
@dominiquelarchey-wendling5829Ай бұрын
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.
@dominiquelarchey-wendling5829Ай бұрын
Very good explanations of QAM !!
@Manus-hh1hdАй бұрын
Modulation ka spelling galat hai
@harrybellingham98Ай бұрын
one of those hidden gem channels
@aeronesto2 ай бұрын
This is the very best explanation of threading vs multiprocessing that I have ever seen. Well done!
@Tuk_tuk_222 ай бұрын
❤this is amazing
@jaiisrani25502 ай бұрын
really good visualization of the process!
@mdesm20052 ай бұрын
what's a negative amplitude? (10:00)
@user-ju7xw1wq9f2 ай бұрын
Such an underrated video, thanks a lot for such an informative series
@JamesVestal-dz5qm2 ай бұрын
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!
@niboonboonprakob22092 ай бұрын
All the videos are incredibly good! 💯
@gedtoon64512 ай бұрын
Nice video, but they are not clocks; they are counters.
@gokul14292 ай бұрын
in 8:29 you said that , 2 million function calls across all threads are done , how you computed it , can you explain little more
@user-lu7fk3qd5i2 ай бұрын
wow
@trinetram7073 ай бұрын
Which software is used to monitor the activity?
@daniiltroshkov60813 ай бұрын
Excellent video! Thank you!
@gustavojoaquin_arch3 ай бұрын
Rust>>>>>>>python Rust is just better, the Austrian painter was right
@amitvyas79053 ай бұрын
In summary, Python supports multiprocessing but not multi-threading.
@not_amanullah3 ай бұрын
This is helpful ❤
@not_amanullah3 ай бұрын
Thanks ❤
@azogdevil3 ай бұрын
Python Removed GIL
@gastonarevalo12373 ай бұрын
Really informative video¡¡ I struggled a bit with the accent and speed but it's really good¡
@isodoubIet3 ай бұрын
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.
@Aceptron3 ай бұрын
how did you graph the thread usage and work done per thread. Loved your illustrations
@sinan44953 ай бұрын
I feel like one comment isn't enough to express how great this video is. If i could frame this explantation and hang it in my room i would do so in a heartbeat
@sinan44953 ай бұрын
I am immensely greatful for this amazing explanation and visualisation of QAM. I have been wrecking my brain for days to understand this topic, but only now i feel like i can finally grasp it
@shanks62083 ай бұрын
Hahh,Congratulations!
@CherifRahal3 ай бұрын
The amount of work done here is unblievable. Thank you so much
@linuxguy11993 ай бұрын
One major improvement I've found is taking your CPU intensive Python code and writing it in this language called "C". Joking aside, great video!
@user-jt5nd3yq4u3 ай бұрын
Excellent work, very informative! Thanks a ton for your time!
@mehmetfurkanceylan3 ай бұрын
finally all makes sense. thanks for clear explanation
@HarnessedGnat3 ай бұрын
Nice! I am new to multiprocessing, but also appreciate a good visualization. As I was watching the other video that uses these animations I wondered “how did he do that?” And here we are.
@HICHEMZIMI4 ай бұрын
amazing explanation! thank you for the video
@user-se4hk1jt3u4 ай бұрын
Nice, but without that getfigax code much of the video lose it sense for a newbie in Python and plotlib