<feed xmlns="http://www.w3.org/2005/Atom"> <id>https://inorilzy.github.io/</id><title>Inorilzy</title><subtitle>A minimal, responsive and feature-rich Jekyll theme for technical writing.</subtitle> <updated>2026-06-18T00:00:58+08:00</updated> <author> <name>inorilzy</name> <uri>https://inorilzy.github.io/</uri> </author><link rel="self" type="application/atom+xml" href="https://inorilzy.github.io/feed.xml"/><link rel="alternate" type="text/html" hreflang="zh-CN" href="https://inorilzy.github.io/"/> <generator uri="https://jekyllrb.com/" version="4.3.4">Jekyll</generator> <rights> © 2026 inorilzy </rights> <icon>/assets/img/favicons/favicon.ico</icon> <logo>/assets/img/favicons/favicon-96x96.png</logo> <entry><title>使用 uv 安装 python</title><link href="https://inorilzy.github.io/posts/%E4%BD%BF%E7%94%A8-uv-%E5%AE%89%E8%A3%85-python/" rel="alternate" type="text/html" title="使用 uv 安装 python" /><published>2025-07-14T17:49:02+08:00</published> <updated>2025-07-14T17:49:02+08:00</updated> <id>https://inorilzy.github.io/posts/%E4%BD%BF%E7%94%A8-uv-%E5%AE%89%E8%A3%85-python/</id> <content src="https://inorilzy.github.io/posts/%E4%BD%BF%E7%94%A8-uv-%E5%AE%89%E8%A3%85-python/" /> <author> <name>inorilzy</name> </author> <category term="uv" /> <summary> export UV_PYTHON_INSTALL_MIRROR=https://python-standalone.org/mirror/astral-sh/python-build-standalone/ </summary> </entry> <entry><title>ceshi</title><link href="https://inorilzy.github.io/posts/ceshi/" rel="alternate" type="text/html" title="ceshi " /><published>2025-03-21T12:58:41+08:00</published> <updated>2025-03-21T12:58:41+08:00</updated> <id>https://inorilzy.github.io/posts/ceshi/</id> <content src="https://inorilzy.github.io/posts/ceshi/" /> <author> <name>inorilzy</name> </author> <category term="blog" /> <summary> </summary> </entry> <entry><title>linux 无 ui 代理工具</title><link href="https://inorilzy.github.io/posts/linux-%E6%97%A0-ui-%E4%BB%A3%E7%90%86%E5%B7%A5%E5%85%B7/" rel="alternate" type="text/html" title="linux 无 ui 代理工具" /><published>2025-03-21T10:40:26+08:00</published> <updated>2025-03-21T10:40:26+08:00</updated> <id>https://inorilzy.github.io/posts/linux-%E6%97%A0-ui-%E4%BB%A3%E7%90%86%E5%B7%A5%E5%85%B7/</id> <content src="https://inorilzy.github.io/posts/linux-%E6%97%A0-ui-%E4%BB%A3%E7%90%86%E5%B7%A5%E5%85%B7/" /> <author> <name>inorilzy</name> </author> <category term="Linux" /> <summary> https://github.com/juewuy/ShellCrash/blob/dev/README_CN.md </summary> </entry> <entry><title>SQLAlcyemy relationship</title><link href="https://inorilzy.github.io/posts/SQLAlcyemy-relationship/" rel="alternate" type="text/html" title="SQLAlcyemy relationship" /><published>2025-02-10T14:54:00+08:00</published> <updated>2025-02-10T14:54:00+08:00</updated> <id>https://inorilzy.github.io/posts/SQLAlcyemy-relationship/</id> <content src="https://inorilzy.github.io/posts/SQLAlcyemy-relationship/" /> <author> <name>inorilzy</name> </author> <summary> 最佳实践方案： 使用字符串引用（推荐）： ```python from sqlalchemy import Column, Integer, String from sqlalchemy.orm import relationship from app.db.base_class import Base class User(Base): tablename = “users” id = Column(Integer, primary_key=True) name = Column(String(100)) # 使用字符串引用，不需要导入 Post 模型 posts = relationship(“Post”, back_populates=”author”) ```python from sqlalchemy import Co... </summary> </entry> <entry><title>Python 函数参数介绍</title><link href="https://inorilzy.github.io/posts/Python-%E5%87%BD%E6%95%B0%E5%8F%82%E6%95%B0%E4%BB%8B%E7%BB%8D/" rel="alternate" type="text/html" title="Python 函数参数介绍" /><published>2025-02-08T11:21:54+08:00</published> <updated>2025-02-08T11:21:54+08:00</updated> <id>https://inorilzy.github.io/posts/Python-%E5%87%BD%E6%95%B0%E5%8F%82%E6%95%B0%E4%BB%8B%E7%BB%8D/</id> <content src="https://inorilzy.github.io/posts/Python-%E5%87%BD%E6%95%B0%E5%8F%82%E6%95%B0%E4%BB%8B%E7%BB%8D/" /> <author> <name>inorilzy</name> </author> <category term="Python" /> <summary> Python 函数的参数非常灵活，支持多种不同的形式和组合。理解这些不同类型的参数以及它们的使用方式是掌握 Python 编程的基础之一。以下是对 Python 函数参数的详细介绍，以及与之相关的知识。 1. 位置参数（Positional Arguments） 最常见的参数类型。参数是按顺序传递给函数的，即函数调用时会依照参数的定义顺序进行匹配。 示例： def greet(name, age): print(f"Hello, {name}! You are {age} years old.") # 调用函数时按位置传递参数 greet("Alice", 30) # 输出: Hello, Alice! You are 30 years old. 说明： name 和 age 是位置参数。调用函数时，"Alice" 被传递给 name，30 被传递给 ... </summary> </entry> </feed>
