本文介绍一个完整的"AI智能体工厂"平台的设计与实现。该平台以本体模型（Ontology Model）作为中间表示层，打通了从原始业务需求到可运行AI智能体的完整链路：需求探索 → 本体建模 → 可视化验证 → 能力代码生成 → 技能封装 → Agent动态发布。 今天完整分享下最近通过AI编程实现的一个基于本体模型+AI大模型驱动的端到端AI智能体交付平台。包括需求分析，整体设计，核心功能实现。

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

Hello, this is Jinsei Library. In the previous [Part 1], we decided to prioritize time performance by opting for a local-only VTuber schedule site that wouldn't be published to the web, and we ...

Travel support is covered as part of the ACCESS Support grant #2138286. ACCESS is an advanced computing and data resource program supported by the U.S. National Science Foundation (NSF) under the ...

Data visualization is the art of organizing and presenting data visually compellingly. It makes it easier for anyone—regardless of their technical background—to interpret patterns, trends, and ...

Flask通过组件化设计实现“微内核+可扩展”架构，下述十大组件覆盖了Web开发核心需求。 Flask作为轻量级Python Web框架以其简洁灵活的设计哲学备受开发者青睐。其强大之处在于通过扩展组件生态系统解决复杂需求。以下精选10个核心组件，助您构建高性能应用。

Master: A web artisan who has been making a living with Python for many years. Lately, FastAPI is their favorite. Apprentice: A beginner who recently learned Python. Currently loves using Streamlit.

In the dynamic scene of Python development, understanding the qualification between frameworks and libraries is pivotal for extended success. Python frameworks give structure and support for building ...

Microsoft Excel is essential for the End-User Approach (EUA), offering versatility in data organization, analysis, and visualization, as well as widespread accessibility. It fosters collaboration and ...