Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Try out the examples in the examples folder using the binder service. The package can also be installed on Google Colab using the commands: The easiest way to get started with the Control Systems ...

Excel and other spreadsheets are ubiquituous in business because they let you create simple graphics. If you want to take your reports and presentations to the next level, you might want to consider ...

Use Python libraries—developed for Python users of all experience levels—to clean up, explore, and analyze data within the familiar, secure Excel environment. No need to install anything. Anaconda is ...

The master branch in that repo is supposed to be ready for use and might be ahead of the official releases. To install directly from the master branch use: A small test mrio is included in the package ...

Jupyter Notebook is a tool to run and write Python code easily, showing results right away, and allowing you to combine code, charts, notes, and files in one place ...

过去一年，AI Agent 在编程、写作、搜索、数据分析等场景里越来越常见。 很多学者也开始把Claude Code、Cursor、Codex这类智能体拉进自己的科研流程里，让Agent帮忙改论文、做图表、查资料。 但真正的科研任务，不是把论文丢给 Claude Code，然后让它「帮我研究一下」就完事了。 比如想写一篇文献综述，Agent 不能只是把十几篇论文简单总结一遍，而是需要把不同论文之间 ...

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

本文介绍如何构建一套文本聚类流水线，将大语言模型嵌入与基于密度的聚类算法 HDBSCAN 相结合，在无标注文本数据中自动发现主题。 当前的生成式 AI热潮，表面上似乎主要集中在聊天界面与提示词工程，但大语言模型（LLM）的实际应用范围远不止于此。

课程特别引入大语言模型（LLM）辅助科研新范式，从Ollama本地部署到LangChain射频智能体开发，帮助学员掌握AI Agent构建方法，推动射频信号智能处理技术向自动化、精准化、自适应方向发展。 核心目标：系统学习射频数据集的构建方法，掌握CNN、LSTM、Transformer ...