How to integrate google cloud with dropbox and jupyter notebook using tensorflow

So I opened up a google cloud account and have access to global and local (us east 1) resources (Compute Engine API , NVIDIA K80 GPUs) and connected it to my dropbox.

Next, I followed this youtube video to try to connect it to my jupyter notebook.

The code to be entered into the google cloud platform is as follows:

sudo apt-get update
sudo apt-get - -assume-yes upgrade
sudo apt-get - -assume-yes install software-properties-common
sudo apt-get install python-setuptools python-dev build-essentials
sudo easy_install pip
sudo pip install jupyter
jupyter notebook - - generate-config
sudo nano ~/.jupyter/jupyter_notebook_config.py

Insert these following lines under #configuration file for jupyter notebook c=get_config()

c.NotebookApp.ip = ‘*’
c.NotebookApp.open_browser = False (or True)
c.NotebookApp.port=1000

ctrl+alt? enter ctrl+x? from 3.5.0.tar.gz you write tmux0.tar.gz ctrl+b shift+double_course (to get two diff windows) or exit to go out of the double

jupter notebook password
jupyter notebook –no-browser –port=1000

And then you go to your browser and write external ip:port (ex. 35.197.7.72:1000) At the top window, upload your environment

BUT, before running the following line:

sudo nano ~/.jupyter/jupter_notebook_config.py

It asks me if I want to overwrite .../jupyter/jupyte_notebook_config.py with default config, and with both scenarios (when entering yes and when entering no) after I run the line it says

sudo: nano: command not found

I even tried to pip install nano and it worked (the installation) but still the same response - anyone know what I should do?