Jupyter Notebooks let you combine code, comments, multimedia, and visualizations into an interactive document that can be shared, re-used, and re-worked. Originally developed for data science ...

While you can do some good data analysis with a spreadsheet like Excel, if you want to take your calculations to the next level, you might try Python in a Jupyter notebook instead. Here are some ...

Jupyter MCP 服务器是基于模型上下文协议（Model Context Protocol, MCP）的 Jupyter 环境扩展组件，它能够实现大型语言模型与实时编码会话的无缝集成。该服务器通过标准化的协议接口，使 AI 模型能够安全地访问和操作 Jupyter 的核心组件，包括内核管理、文件系统以及 ...

Python is great for data exploration and data analysis and it’s all thanks to the support of amazing libraries like numpy, pandas, matplotlib, and many others. During our data exploration and data ...

PyCharm and Google Colab are finally joining forces.

At some point, we all need to show our work. Most programming work is shared either as raw source code or as a compiled executable. The source code provides complete information, but in a way that’s ...

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