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Running `jupyter notebook` gives me: OSError: [Errno 99] Cannot assign requested address
See original GitHub issueIssue Description
Hi there,
I just started using Codenvy. I wanted to run jupyter notebook (http://jupyter.org) but it gave me the following error:
It could be that I am just not getting the concept right, I’m completely new to this program. If that’s the case, please point me in the right direction 👍
Thanks!
Traceback (most recent call last):
File "/usr/local/bin/jupyter-notebook", line 11, in <module>
sys.exit(main())
File "/usr/local/lib/python3.4/dist-packages/jupyter_core/application.py", line 267, in launch_instance
return super(JupyterApp, cls).launch_instance(argv=argv, **kwargs)
File "/usr/local/lib/python3.4/dist-packages/traitlets/config/application.py", line 657, in launch_instance
app.initialize(argv)
File "<decorator-gen-7>", line 2, in initialize
File "/usr/local/lib/python3.4/dist-packages/traitlets/config/application.py", line 87, in catch_config_error
return method(app, *args, **kwargs)
File "/usr/local/lib/python3.4/dist-packages/notebook/notebookapp.py", line 1296, in initialize
self.init_webapp()
File "/usr/local/lib/python3.4/dist-packages/notebook/notebookapp.py", line 1120, in init_webapp
self.http_server.listen(port, self.ip)
File "/usr/local/lib/python3.4/dist-packages/tornado/tcpserver.py", line 142, in listen
sockets = bind_sockets(port, address=address)
File "/usr/local/lib/python3.4/dist-packages/tornado/netutil.py", line 197, in bind_sockets
sock.bind(sockaddr)
OSError: [Errno 99] Cannot assign requested address
Reproduction Steps:
- Create a new workspace
- Select ubuntu(latest) as OS
- When inside the IDE, do:
sudo apt update
sudo apt install python3-pip
sudo pip3 install -vU setuptools
sudo pip3 install jupyter
jupyter notebook
Codenvy version: 5.17.0
OS and version: Not sure (it’s on codenvy.io, no self-hosted)
Docker version: Also not sure
Codenvy cli.log output: N/a
Issue Analytics
- State:
- Created 5 years ago
- Reactions:16
- Comments:13
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jupyter notebook --ip=0.0.0.0 --port=8080In dashboard, go to your workspace settings, runtime - dev machine - servers. Find URL that corresponds to 8080
jupyter notebook --ip 0.0.0.0 --no-browser --allow-root