1 generates the configuration file

linux and mac open system terminal
windows open system terminal comes anaconda

jupyter notebook --generate-config

And will generate ~ / .jupyter / hide the folder, and the folder are generated in a configuration file jupyter_notebook_config.py jupyter

2 ports configured password + + + remote landing start working directory + mathjax

2.1 jupyter generated passwords

Open IDE or the command line, type the following command

from notebook.auth import passwd
passwd()
# 此时需要输入两次密码（一次设置，一次确认），然后生成sha1的密文，拷贝下来。
# Enter password: ········
# Verify password: ········
# sha1:b11ba7ae862e:6eeb922ef6b770e43a1c90922ba341faaaaaaaa

Need to type the password twice after entering passwd (), then will have some ciphertext

2.2 modify the configuration file jupyter_notebook_config.py

Open jupyter_notebook_config.py, scroll to the last line of the file, add the following configuration options

# 允许所有ip访问
c.NotebookApp.ip='*' 

# 密码 2.1中生成'sha1:xxxx"那一大串，复制时包括sha1 
c.NotebookApp.password = 'sha1:0d00e0994444:3aeecafab4d91260d42647df8df4c3859a3430a9' 

# 是否打开浏览器 
c.NotebookApp.open_browser = False 

# 指定端口 jupyter的默认端口为8888
c.NotebookApp.port = 10000

# 启用 MathJax 
c.NotebookApp.enable_mathjax = True 

# 修改工作空间文件夹  '/home/jupyter/'改成你的目录
c.NotebookApp.notebook_dir = '/home/jupyter/'

2.3 Starting jupyter notebook

Use jupyter notebook started on the server, then the machine via http: // address_of_remote: 10000 remote access to login screen requires a password set.

3 Jupyter installation nbextensions

If you have installed, unmount command:

pip uninstall jupyter_contrib_nbextensions
pip uninstall jupyter_nbextensions_configurator

Anaconda Prompt window opens, first command is executed, for mounting nbextensions:

pip install jupyter_contrib_nbextensions

Then execute a second command, for mounting javascript and css files

jupyter contrib nbextension install --user

The last execution for installation configurator

pip install jupyter_nbextensions_configurator

Then restart Jupyter Notebook, you will find the label has Nbextensions.

Common extensions, you can check on:
The most common explanation, we recommend checking on:

Collapsible headings folding title
Notify notification mechanism, running some of the longer time-consuming task, after completion notification
Codefolding collapsing code
Zen mode extension to hide the status bar activities to facilitate pay attention to the code
Execute time extension to display the running time

Jupyter Notebook Configuration (remote login password port + + nbextension)