You can use Jupyter Notebooks to share Python code and its output with third parties, to run code with live interactive feedback, or to systematically track and document the progress of your work.

The advantage of using Jupyter instead of an ordinary interactive interpreter like Python's is that Jupyter automatically saves a record of what you do.

Jupyter Notebook Using a Jupyter Notebook is a good way to interactively write Python code (and other languages supported by Jupyter). Similar to Mathematica, Jupyter Notebooks let you write code ...

JupyterLab A next-generation user interface for Jupyter Notebook, called JupyterLab, is now available and considered ready for production use.

When doing data analysis, I prefer to use Jupyter notebooks as they provide a more convenient environment than the command line. You can inspect the data you are working with and write your ...

Both Google Colab and Jupyter Notebook allow users to run R scripts, though they are primarily designed for Python. In Google Colab, users can now select to work with R by selecting it within the ...