Jupyter Notebook is not a full-blown development environment for Python. Many of the features you would expect to find in an IDE—e.g., interactive debugging, code completion, and module ...

Because of the client/server architecture, it is very simple to share notebooks with other users. You can — in theory — use Jupyter for anything you could use Python for.

The October 2021 update to Python in Visual Studio Code continues to boost notebook functionality, now adding the ability to debug Jupyter Notebooks.

Faster start-up times for the Jupyter Notebook editor and associated server highlight the February update to the wildly popular Python Extension for Visual Studio Code.

For instance, PyXLL-Jupyter can integrate data from your Excel workbook into a Jupyter Notebook using a single command. This enables you to analyze massive datasets quickly.

For data scientists, Python integration with Jupyter Notebooks now enables users to create and share documents that contain live code, equations, visualizations and explanatory text.

With Jupyter Notebooks in Civis Platform, data scientists can take their exploratory code from analysis and push it straight into production scripts. Your data is in the cloud, and your notebooks ...

Kite's code completions powered deep learning now work with JupyterLab and JupyterHub, helping data scientists as they type Python.

Marimo plans to fix this with its Python notebook addressing the key shortcomings of traditional notebooks like Jupyter. Marimo claims that, unlike Jupyter, the marimo notebook ensures true ...