Jupyter Notebook benefits Originally developed for data science applications written in Python, R, and Julia, Jupyter Notebook is useful in all kinds of ways for all kinds of projects: ...

Microsoft's separate Jupyter notebooks extension aims to improve support for Python's programming language rivals.

Databot is an experimental alternative to querychat that works with R or Python. And it’s now available as an add-on for the ...

On the other hand, PyXLL-Jupyter operates locally, on your device. This gives you total control over your Python environment and data.

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 ...

Yearly report finds explosion of GenAI projects, new users from outside the coding community responsible for boost There's been an upset in the Octoverse, as Python has unseated JavaScript as the most ...

A new developer survey about Python reveals the programming language is now used primarily for data analysis, supplanting the previous No. 1 use case, Web development.

Unlock deeper analytical capabilities by integrating BQL, Bloomberg’s most advanced data API,  with Python via the BQL Object ...

With the maturation of the open-source, cross-platform .NET Core initiative, Microsoft has been upping its data science analysis tooling lately, previewing .NET Core with Jupyter Notebooks ...