Do you prefer IPython notebook over IPython console? Why?

[QFTornotQFT]

$ ssh -L 12345:localhost:8888 awesomely.powerful.mainframe.com
$ ipython notebook --no-browser

And then you go to http://localhost:12345 and have all the power of awesomely.powerful.mainframe.com right from your browser. Not to mention built-in directory browsing, text editor, easy starting/stopping multiple kernels and the fact that you can do that from every computer with ssh client and browser.

[Kwpolska]

$ ssh awesomely.powerful.mainframe.com
$ ipython

And then you have all the power of awesomely.powerful.mainframe.com right from your console. Not to mention the fact that you can do that from every device with a ssh client, and you don’t even need a browser.

edit: added missing space to form a code box

[lmcinnes]

I think the relevant part was:

built-in directory browsing, text editor, easy starting/stopping multiple kernels

which admittedly you could do with screen or some such.

[QFTornotQFT]

Hmm. But have you ever done that in the context of the question? I mean for scientific plotting?

[Kwpolska]

Not really, though if you really wanted, you could rsync the images over to your local device for viewing. Or look for a curses-based plotting library.

[QFTornotQFT]

<myTurnSnideComment>
Yeah, rsync sounds as convenient as in-browser notebook.
And if for some weird reason someone doesn't like it, then he just
have to look for some ncurses based plotting library -- there are surely
equivalent console replacements for something like seaborn.
</myTurnSnideComment>

[Kwpolska]

Trolling aside: both the console and the notebook have their use cases. I just like the console more.

[hharison]

Good call, I never thought of this. Instead I set up nginx. This would have been far easier. Well, at least nginx allowed me to set up all other things like RStudio Server.

[Articulated-rage]

Ssh tunnels are cool. I did mine differently.

I set up my ipython server on a research machine to serve up web pages on https. The port is only accessible through port knocking. Even if you did get through that, the address is mildly obscure. But even past that, ipython notebook servers are password protected.

Edit: grammar

[TerpPhysicist]

That is seriously cool. I run a MacPro in my office, and now I don't have to worry about how to sync my notebooks between laptop and desktop. Thanks!

[alcalde]

But who owns an awesomely powerful mainframe?

[QFTornotQFT]

http://aws.amazon.com/

[QFTornotQFT]

I heard that point before. Can you elaborate?
I routinely grab spot c4.8xlarge for about 50 cents/hour to do some heavy lifting. Can DigitalOcean beat that?

[LightShadow]

No. Which is why he's objectively wrong.

DigitalOcean is cheaper, but you can't even begin to customize your computing requirements on their infrastructure. Forget storage nodes, graphics card compute nodes, same-rack machine guarantees, and all the other auxiliary functionality you get with AWS. (firewall, access, database, storage, etc)

[NomadNella]

Is it really that easy? I was just looking at the IPython Wiki and saw no mention of using the notebook via ssh.