Maximize development velocity and eliminate operations toil with this indie-favorite serverless, event-driven, no-ops stack.

FastAPI在API开发、微服务、AI部署等场景下表现惊艳，但在大型企业级全栈应用、CPU密集型计算等场景下，Spring Boot依然是更稳妥的选择。 前言 Java开发者也能看懂的Python高性能框架指南 最近这几年，Python在AI和数据处理领域如日中天，很多Java开发者也开始接触Python生态。 在Python的众多Web框架中，FastAPI的崛起速度让人瞠目结舌。 GitHu ...

My AI stopped having goldfish syndrome.

MCP Server（Model Context Protocol 服务器）是让 AI 模型调用外部工具与数据的标准化接口，由 Anthropic 于 2024 年底开源后迅速成为行业标准。截至 2026 年 4 月，Python SDK 在 PyPI 的月下载量已突破 1.64 亿次，公开目录收录的 MCP 服务器超过 20,000 个，OpenAI、Google、Microsoft 相继采纳同 ...

Abstract: As few empirical performance comparisons of modern Python web frameworks exist, it is hard to choose an appropriate architecture under real I/O-bound workloads. This study compares a ...

Asynchronous processing is essential for achieving high-speed network communication and parallel processing in Python. At its core are asynchronous functions (coroutines) defined with the async def ...

You can use threading and asyncio for asynchronous processing in Python. import asyncio async def async_task_a(seconds): print(f"タスクA開始: {seconds}秒待機します...") await asyncio.sleep(seconds) print("タスクA終了 ...

In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...