总结 Jupyter MCP 服务器作为一个创新的技术解决方案，为 Jupyter 环境带来了智能化的 AI 交互能力。 通过实现模型上下文协议（MCP），该服务器以安全和标准化的方式实现了 AI 模型与 Jupyter 环境的深度集成。 目前该服务器已经可以投入实际使用，且具有良好的易用性。

The EiC looks back on a concept presented in CiSE’s inaugural issue: that of problem-solving environments, with a promise to be ‘all things to all people’ in computational science. Reviewing the ...

A Python wrapper for GNU parallel that naturally embeds shell code into Python scripts or Jupyter notebooks (no delimiter hell). Features parameter substitution, environment substitution, and ...

Computational notebooks have become the tool of choice for many data scientists and practitioners for performing analyses and disseminating results. Despite their increasing popularity, the research ...

Python lets you parallelize workloads using threads, subprocesses, or both. Here's what you need to know about Python's thread and process pools and Python threads after Python 3.13.

Python的Subprocess模块提供了强大的工具，允许与外部进程进行交互。可以使用它执行外部命令、传递参数、处理输入输出和错误信息，以及支持管道和重定向。这为编写需要与外部程序进行通信的Python应用程序提供了关键的功能。

据微软官方新闻稿，微软今天发布了 VS Code Python 与 Jupyter 扩展插件的 2 月更新，主要将 Python 扩展插件拆分为本体及调试器部分，为 Jupyter 扩展新增一项“变量检视器”，新增“触发断点（Triggered Breakpoint）”支持。

For Python-based Data Science projects, the integration of these magic commands enhances the Jupyter Notebook experience. These commands greatly improve workflow through interactions with models, ...

VS Code has become increasingly user-friendly and feature-rich when it comes to Python code development, with plenty of community support and online examples you can follow. However, if you still ...

3. Running a Python Jupyter Notebook Interactively in VS Code This step is an extension of step 11 in the Run VS Code on OSCER instruction, where you start using VS Code after connecting to the VS ...