Ray: Faster Python through parallel and distributed computing 

the way you compacted 1 hour worth of content into 10min video is just amazing.

astonishingly efficient pedagogy here. Props man! Thanks!!

Simple and Lucid, thanks a lot. This gives me hope for my current project.

Awesome video Jack! Keep on with the good content bro!

Thank you, I've been trying to do distributed computing using hadoop and spark. And I just found out that there is an easier way for it. Thank you, I will try it next time.

the best ray intro I have seen

Great introduction to Ray, thank you!

You are great Jack! Learn new things with you. Keep it up!!

What an amazing awesome video! thanks a TON for making this gem!

Nice work, Jack

this is very helpful even in 2023

Thank you! This was an awesome presentation. well planned out and thought through. I'm going to give ray a go.!

Excellent.

Interesting stuff, thank you

🙏 🙏 😊 great intro! 😅 show us your tmux, vim setup?

Awesome video. Small nit though… in the second time test… imread comes after start time. Wouldn’t that increase the time taken!?

That is very awesome, will have to try it out

Beautiful!

Omg best solution for my case

this is awesome .... thanks for shared

thanks for the info, I am new to setting something like this up. I do have a couple questions. So using the function decorator with .get(), ray will automatically use multiprocessing on each individual machine as well? My current implementation is using python multiprocessing pool with apply_async. Also, is there a tool/easy way to install the same venvs and dependencies for many cloud servers? You also mention to have a good internet connection or LAN but I imagine in most applications it will be a cloud server connection.

How would I have it so I just have to start the server and not type the command using ws (websocket)?

Very cool

Very helpful video. How would this be hooked up to remote AWS servers? Thanks

Can you please help the client node gets connected to cluster but the worker is just idle all the workload is done by host computer

Hi when I try to connect another laptop to head node I get an error can’t connect to GCS address check that it is correct or firewall is turned off can you help us please

Great video. Where can I get the source code for this demo?

I have tried run 'ray start --head --redis-port=8888' and an error arisees, which is 'no such option: --redis-port'

Hi, I installed ray using pip and I am able to import in python program but when I try using 'ray start --head' then it shows 'command ray not found'. I am using ubuntu. Any suggestions?

does it work with windows? I can't seem to get ray installed

Can you use this to parallelize the code for cluster computing?

Great tutorial, but what to do when neither the virtual machines nor the local machine are on the same network? I have 3 VMs on different networks in Azure and a local machine. How to spin these up? Do I have to have Redis server installed somehow manually? Help please.

Hello again. I have another problem: I am using WSL 2 on 2 windows 10 computers to use the Ubuntu console. I have downloaded Anaconda and Ray to be able to make the connection as shown in the video. The server computer works fine and I can see everything on the "Localhost", but the client node that I want to connect cannot do so. The console returns: "RuntimeError: Unable to connect to Redis. If the Redis instance is on a different machine, check that your firewall is configured properly." I have already disabled the Firewall of both computers from windows, manually (including the full antivirus), and also disable the Firewall from Ubunto with "sudo ufw disable". Please help. I need it to work for an integrative practical job in a subject at my university.

That was very helpful ! I am setting up a small office with a couple of servers and will try this for sure. Does anyone know how to set up a VPN to connect from home ? Thanks !!!

I cannot see ray dashboard after ray.init() method browser says This site cannot be reached what should I do now?

can you please share link of github?

Hi there, how does ray compare to dask?

be honest jack, did you expect it to be slower @ 4:10 ? I can almost hear the "what the f-" in your voice lol

how is the ray web link? (this is my serious account)

Help me, reallly important, i can't install ray, i'm on windows

"As straight forward as doing pip install ray"... Ahh, the naïveté of x86 people. Ray uses stupid Bazel as a build system and it needs a lot of tinkering around to install from source.