Jupyter Notebooks provide an interactive computing environment where you can write and execute code in cells.
After installation, you can launch the Jupyter Notebook server by running the following command in your terminal or command prompt
Once the Jupyter server is running, you can create a new notebook and choose the Python kernel.
Jupyter is widely used in the data science community for tasks like data exploration, data cleaning, statistical analysis, and machine learning.
Jupyter Notebooks can be saved and shared in various formats, including HTML, PDF, and slides.
Jupyter supports extensions that enhance its functionality. These extensions provide additional features such as code folding, table of contents, and more.
JupyterLab is an enhanced version of Jupyter Notebook that provides a more flexible and feature-rich interface.