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.

Jupyter-Notebooks: Code automatisch testen mit Python Mit Unit-Tests können Entwickler ganz einfach ihren Code überprüfen. Unsere Autorin Pina Merkert hat das getestet – musste allerdings ...

Jupyter Notebook use cases The most common use cases for Jupyter Notebook are data science, mathematics, and other research projects that involve visualizations of data or formulas.

The free IPython notebook makes data analysis easier to record, understand and reproduce.

In the regular monthly update to Python tooling for Visual Studio Code, Microsoft announced an improved setup experience for Jupyter notebooks, along with new inlay type hints for the Pylance language ...

Use this in-depth Jupyter Notebook vs. PyCharm comparison to learn more about their features and pricing and to find your best fit.