Docker install: /bin/sh: 1: /install.sh not found about py4fi2nd HOT 8 CLOSED

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Are you saying that it worked once but not a second time?

With your description alone it is hard to tell what might go wrong.

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from py4fi2nd.

I'm pretty new to linux, so I may be making some really basic mistakes here.

from py4fi2nd.

I think I'll try the whole procedure again from scratch :)

from py4fi2nd.

Ok, still have the same problem.

I follow the receipe in chapter Using Cloud Instances.
My expected outcome is a fully set up python workspace.

Pre-requisites:

• I have created a droplet on DigitalOcean, and acquired access via ssh, so that I can move files across.
• This is my welcome screen:
  

1. I have updated Jupyter notebook config file with a new password
2. I have put all these install files (install.sh, jupyter_notebook_config.py, reset_droplet.sh, setup.sh) in a folder named cloud under my user
3. using root user, I have run the command bash setup.sh my.ip.address
   

• the software does not find the files, it seems like a problem finding the IP address?
• No copies of the install files seem to move to the root user folder, so it seems like the first scp command in setup.sh fails
• running root@FirstDrop2:/home/havard/cloud# scp install.sh reset_droplet.sh [email protected]: results in error message. First, "the authenticity of host cannot be established, do you want to continue". Then, after "yes", the answer is permission denied (publickey)
• I've tried moving the files manually to /root, but it doesn't work either.

from py4fi2nd.

I think you approach is fundamentally "wrong".

You are already logged into the Droplet and then you try to use the code to setup a Droplet from the Droplet itself.

The code to setup the Droplet is to be executed from your LOCAL machine -- once you have created the Droplet and have the IP available.

I.e. the command bash setup.sh IP-ADDRESS is to be executed on your machine to set up the Droplet remotely.

from py4fi2nd.

The whole procedure as described in the book and the code examples are designed to be initiated/executed from a LOCAL machine to set up a REMOTE machine. That is why you should follow the instructions and execute the code as described from a local machine and NOT on a Droplet.

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