I would really appreciate some help here, basically I'm learning to use tensorflow, I've decided that the easiest way to go about this would be to install ubuntu on either VMware and/or Virtualbox and then access the ipython notebook (came with anaconda) through the browser on the host computer.
I have successfully installed both vmware and virtualbox, I downloaded a ubuntu image and also successfully installed anaconda on both, I get it to work without a problem on both VMs and even installed tensorflow.
Some research online on how to expose the ipython to the host machine suggested port forwarding or ssh tunneling, none of these have worked (very likely I'm doing it wrong). Can someone please help? think of me as a newbie.
Generally you must edit the jupyter configuration file to allow network access to the notebook server. See this link: http://jupyter-notebook.readthedocs.org/en/latest/public_server.html for details. (Even if it is not a "public" server, you still intend to access the notebook server living in the VM from the host machine via a network connection...)
Here is a quotation from the linked documentation that indicates by default, you can only access the notebook via the localhost.
By default, a notebook server runs locally at 127.0.0.1:8888 and is accessible only from localhost. You may access the notebook server from the browser using http://127.0.0.1:8888.
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I want to run local code using local data on a remote server and get back execution results back to my Jupyter notebook cells.
Not usual scheme "run Jupyter notebook remotely, connect to remote notebook via ssh tunneling" but more sophisticated via custom remote kernel which I may choose from the kernel list, and run local code on remote server seamlessly.
Some packages (like this -- https://pypi.org/project/remote-kernel) mention that it is possible, but look dated and come with limited usage instructions.
Anyone knows how to implement this? If so, be as more detailed as possible, thanks!
I want to access Jupyter lab interface on my local machine browser (also running on windows) from a Jupyter server running on a remote Windows VM.
Is there any analogous technique to SSH tunneling in linux but for windows?
Thanks in advance!
EDIT:
I am not looking for remote desktop since the code autocomplete doesn't work and it's really unresponsive (and I think people can relate to other problems of coding on a remote desktop platform)
Remote Desktop would be the easiest option.
If you need a browser, windows has ssh built in, but I think it has to be activated in the Windows options
We have a Linux server with Jupyterhub installed and can be accessed by users over browser, similarly we are able to access Rstudio.
Is it possible to install Spyder on the Linux server and provide access via web browser. Multiple users will be accessing it simultaneously. We are not looking for remote desktop or SSH solution.
Thanks
(Spyder maintainer here) Spyder can't work inside a web browser because it's a pure desktop application, sorry.
How about broadening your search space to include VS Code Server as an alternative? It closely resembles the classic Windows (GUI) version, but it has client-server architecture, so your code resides and runs on the server, but the user interface is rendered locally in the browser, so no graphical desktop needs to be installed on the server.
I work in an environment such that I have python installed on my laptop (windows 10). I also have access to a couple of Linux servers. I work with some very large datasets, some which would be too large for my machine's memory to handle.
My question, which I so far haven't found an answer to, is if it's possible to connect to the linux server and run the code from my windows PC. I want to take advantage of the processing and memory on the linux server, but don't want to log on to server and do all of my development there and execute the scripts on the linux environment.
As an aside, another person in my department has been asking if it's possible to do this from Jupyter Notebook or an IDE like Spyder?
For jupyter you could just run the Jupyter notebook on the server and connect to the server IP and edit the notebook locally.
Of course you'd have to save your local notebooks and import them on the server but that should be pretty straight forward.
You can see how to set up a public Jupyter instance on a server here:
https://jupyter-notebook.readthedocs.io/en/stable/public_server.html
Is there any way to work with Python in iPad as I would on a PC? I will have quite some time with only my iPad and would like to continue with the same files.
I currently use Jupyter notebook and Sublime text, but I don't mind any other alternative that works on iPad.
I will be working on Python, Pandas, Django, Bokeh... just to give you an idea of what libraries I use.
Since you are using Jupyter Notebooks as your front end, you could use something like Microsoft Azure to act as your Jupyter server. The Python code runs on their cloud servers, so you don't need to have it installed locally.
Alternatively, if you have a Linux box available to you on your network, you could run JupyterHub and connect to that via your iPad browser.
You may be interested to try Juno Connect, it is a Jupyter Notebook client for iPad. It is a client though — so you will need a remote server running Jupyter to connect to.