How to remove the password for Jupyter laptops and set the token again

Question

I need to do this for Picharma.

Here are the steps that I have taken that I cannot undo.

1. I added an authentication password using:
   

   laptop password $ jupyter

2. Then I used the following command to comment on all of the code in jupyter_notebook_config.py

   $ jupyter notebook --generate-config

3. Then I deleted the hashed password generated in jupyter_notebook_config.json, which now looks like this

   {"NotebookApp": {"password": ""}}

4. Then I made the following changes to the jupyter_notebook_config.py file

   c.NotebookApp.password = ''
   c.NotebookApp.token = '<>'
   

5. , Jupyter, , .

   Pycharm git: () notebook
   [I 21: 53: 35.158 NotebookApp] : /Users/...
   [I 21: 53: 35.158 NotebookApp] 0
   [I 21: 53: 35.158 NotebookApp] Jupyter :
   [I 21: 53: 35.158 NotebookApp] http://localhost: 8888/? Token =% 3Cgenerated% 3E
   
   / URL ,
   :
   HTTP://: 8888/ =% 3Cgenerated% 3E
   

, , , ??

PS - Jupyter, URL . , Mac, , , .

Answer 1

, .

,

$ cat ~/.jupyter/jupyter_notebook_config.json
{
  "NotebookApp": {
    "password": "sha1:d0a89f391169:9ca771c3518f845438693b938b39703ce1104eaf"
  }

Answer 2

:

ipython

from IPython.lib import passwd
passwd()

"sha1:12345".

jupyter:

vi ./jupyter/jupyter_notebook_config.py

... .

c.NotebookApp.password='sha1:12345'

Jupyter.

Answer 3

<generated> . , f45cf5d6803b81bcd41bcfbf70130293bcf7a773feabe827.

, :

• python3 -c 'import os;print(os.urandom(24).hex())' ( Linux/macOS)
• py -c "import os;print(os.urandom(24).hex())" ( Windows)

Answer 4

.config("spark.submit.deployMode", "client")

Answer 5

, ( , ), . jupyter notebook list .

, ~/.jupyter/jupyter_notebook_config.py, ~/.jupyter/jupyter_notebook_config.json ( jupyter notebook password), .

, , , : jupyter_notebook_config.py . jupyter notebook list , URL- Jupyter.

, , , @gschizas.

It seems strange that returning token authentication requires adding an empty password entry to the configuration - as if the password set in the past did not allow jupyter to return to its "default token authentication" behavior.