以前，Excel和Python Jupyter Notebook之间我们只能选择一个。但是现在随着PyXLL-Jupyter软件包的推出，可以将两者一起使用。在本文中，我将向你展示如何 ...

Jupyter MCP 服务器采用后台服务的运行模式，它不提供独立的用户界面，而是集成在 JupyterLab 或 Jupyter Notebook 的运行环境中。

随着 2019 年 VS Code Python 插件的最新发布，VS Code 已经提供了对 Jupyter Notebook 的本地支持，也就是可以在不运行 Jupyter Notebook 的情况下在笔记本上工作。

Jupyter Notebook installation and setup The easiest way to create and work with Jupyter Notebooks for Python is to set up an instance of the Anaconda distribution of Python.

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 ...

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.

Add-on to Jupyter Notebooks enables a literate Python development style that gives you high-quality documentation, tests, continuous integration, and packaging for free.

Jupyter notebooks started out as a tool for Python code exclusively and Anaconda, which produces the leading Python distribution, has been hard at work enhancing the Jupyter notebook facility into ...

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.

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