Jupyter Notebook

Jupyter Notebook is an open-source, web-based interactive development environment that enables users to create and run code, analyze data, visualize results, and document workflows in a single notebook interface. It is widely used for Python development, data science, machine learning, artificial intelligence, research, education, and data analysis.

Key Features of Jupyter Notebook:

• Web-based interactive environment for Python development and data analysis.
• Supports executable code, Markdown documentation, mathematical equations, and rich visualizations.
• Suitable for data science, machine learning, artificial intelligence, research, and educational workflows.
• Enables interactive data exploration, analysis, and visualization using popular Python libraries.
• Provides an easy-to-use notebook interface for developing, testing, and documenting code and experiments.

Jupyter Notebook usage:

#Activate virtual environment: 
$ sudo su
$ cd /opt/jupyter
$ source /opt/jupyter/venv/bin/activate
#Verify the Jupyter Notebook version: $ pip show notebook

#Start Jupyter
$ jupyter notebook \
  --ip=0.0.0.0 \
  --port=8888 \
  --no-browser \
  --allow-root

# Access the Jupyter Notebook interface: $ http://YOUR_SERVER_IP:8888 
#Login with token and Get the Jupyter token Open another SSH/terminal session and run:
$ sudo su
$ cd /opt/jupyter
$ source /opt/jupyter/venv/bin/activate
$ jupyter server list

  

Disclaimer:
Jupyter Notebook is an open-source project maintained by the Jupyter community and is not affiliated with or endorsed by Microsoft Azure or any other cloud provider. Users are responsible for configuring network access, authentication, security settings, firewall rules, and access permissions when deploying and using Jupyter Notebook in a cloud environment.