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freeCodeCamp.org

别名:freeCodeCamp

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已收录 30 条与 freeCodeCamp.org 相关的内容,按评分排序。

freeCodeCamp.org 图标

本文详解如何用HTML的<dialog>和 popover 属性创建可访问的模态框,强调语义化标签与键盘交互的重要性。

入选理由:使用 <dialog> 标签可自动处理模态框焦点管理

FeaturedArticle#HTML#CSS#可访问性#前端开发英文
How to Evaluate AI Agents with an LLM-as-a-Judge Harness in Python

How to Evaluate AI Agents with an LLM-as-a-Judge Harness in Python

freeCodeCamp.org2416 字 (约 10 分钟)
85

本文提供本地化AI代理评估框架,结合LLM作为裁判与规则检查,使用LangChain、Ollama等工具实现零API成本测试。

入选理由:使用LLM-as-a-judge与规则检查双重机制评估AI代理输出

FeaturedArticle#AI评估#LLM#Python#LangChain#Ollama英文
How to Build Your First Multi-Agent AI System in Python and LangGraph

How to Build Your First Multi-Agent AI System in Python and LangGraph

freeCodeCamp.org2452 字 (约 10 分钟)
85

本文详解使用Python和LangGraph构建多智能体AI系统,对比框架与无框架实现的差异,强调本地运行的低成本优势。

入选理由:LangGraph通过节点边实现工作流管理,降低多智能体系统开发复杂度

FeaturedArticle#Python#LangGraph#多智能体系统#AI#Ollama英文
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How a Bloom Filter Works: Build One From Scratch in Python

freeCodeCamp.org2458 字 (约 10 分钟)
85

Bloom Filter通过位数组和哈希函数实现高效成员检查,仅需少量内存且查询时间恒定,适用于大规模数据场景。

入选理由:Bloom Filter使用位数组和多个哈希函数实现空间高效的数据结构

FeaturedArticle#Bloom Filter#Python#数据结构#算法英文
How to Build an AI Agent That Runs its Own LLM Experiments with autoresearch

How to Build an AI Agent That Runs its Own LLM Experiments with autoresearch

freeCodeCamp.org5135 字 (约 21 分钟)
85

autoresearch是一个开源工具,允许AI代理自动优化LLM训练过程,通过实验找到模型改进点。

入选理由:autoresearch在700次实验中找到20个有效改进模型的变更

FeaturedArticle#AI代理#autoresearch#LLM训练#开源工具英文
How to Write Your First Quantum Circuit in Python: A Beginner's Step-by-Step Guide

How to Write Your First Quantum Circuit in Python: A Beginner's Step-by-Step Guide

freeCodeCamp.org3528 字 (约 15 分钟)
85

用Python和Qiskit库可在普通笔记本上构建量子电路,无需量子计算机或物理学位。文章详解量子比特原理、贝尔态实验及代码实现步骤。

入选理由:Qiskit库允许在普通Python环境中模拟量子电路

FeaturedArticle#Quantum Computing#Python#Qiskit#Quantum Circuits#Beginner Guide英文
freeCodeCamp.org 图标

Why Computers Can’t Count Money

freeCodeCamp.org276 字 (约 2 分钟)
85

计算机无法精确处理货币计算,因二进制存储导致小数误差,现代金融系统改用整数避免问题。

入选理由:计算机使用二进制存储数据,导致无法精确表示十进制小数,如0.1或0.2。

FeaturedArticle#计算机科学#金融系统#二进制#浮点数#软件工程英文
freeCodeCamp.org 图标

Scaling Your AI Models with Micro-DDP

freeCodeCamp.org220 字 (约 1 分钟)
85

本文介绍了使用Micro-DDP技术进行AI模型扩展的方法,强调了分布式训练中的关键概念和实践。

入选理由:Micro-DDP通过分布式数据并行训练解决内存限制问题。

FeaturedArticle#AI#分布式训练#DDP#GPU#freeCodeCamp英文
How to Build a Personal AI Web Research Agent with Ollama and Qwen

How to Build a Personal AI Web Research Agent with Ollama and Qwen

freeCodeCamp.org1996 字 (约 8 分钟)
85

本文展示如何使用 Ollama 和 Qwen 构建一个本地运行的 AI 网络研究代理,实现无 API 成本、隐私保护的网页信息检索与总结。

入选理由:使用 Ollama 和 Qwen 可构建本地运行的 AI 研究代理,无需 API 成本。

FeaturedArticle#Ollama#Qwen#AI#Python#本地 LLM英文
freeCodeCamp.org 图标

How to Build Secure-by-Default Node.js APIs

freeCodeCamp.org5353 字 (约 22 分钟)
85

本文提供了一套构建安全默认的 Node.js API 的实用方法,涵盖请求限制、超时、JSON 解析、安全头、常时比较等关键实践。

入选理由:使用 Node.js 22 或更高版本构建 API,可避免常见安全漏洞。

FeaturedArticle#Node.js#API#安全#开发实践英文
Notion Workers – Full Tutorial 2026

Notion Workers – Full Tutorial 2026

freeCodeCamp.org23692 字 (约 95 分钟)
85

Notion Workers 是 Notion 2026 年的重要更新,允许用户通过编程实现自动化任务和复杂业务逻辑。

入选理由:Notion Workers 可以连接外部数据并构建复杂业务逻辑。

FeaturedVideo#Notion#自动化#教程#编程英文
How to Handle Small Context Window Limits in RAG Systems

How to Handle Small Context Window Limits in RAG Systems

freeCodeCamp.org3765 字 (约 16 分钟)
85

在RAG系统中,通过使用摘要路由和上下文预算,可以有效处理小上下文窗口限制问题。

入选理由:使用摘要进行检索,使用原始块进行回答,可以优化上下文窗口的使用。

FeaturedArticle#RAG#AI#上下文窗口#摘要路由英文
freeCodeCamp.org 图标

How Large-Scale Platforms Handle Millions of Daily Transactions

freeCodeCamp.org1703 字 (约 7 分钟)
85

大型平台通过分布式系统和可扩展架构处理数百万笔每日交易,关键在于服务拆分、负载均衡、缓存和异步处理。

入选理由:将单体应用拆分为微服务可提升可扩展性与可靠性。

FeaturedArticle#分布式系统#微服务#高并发#软件架构英文
freeCodeCamp.org 图标

Building a Website in 2026: What Matters More Than Your Tech Stack

freeCodeCamp.org1988 字 (约 8 分钟)
85

2026年,网站开发中技术栈的重要性下降,发现性、性能、基础设施、结构化数据和AI搜索可见性成为决定网站成功的关键因素。

入选理由:现代网站几乎可以用任何成熟框架构建,性能优化比技术栈选择更重要。

FeaturedArticle#Web Development#AI#前端#性能优化英文
freeCodeCamp.org 图标

Build a Self-Healing CI/CD Pipeline with AI

freeCodeCamp.org263 字 (约 2 分钟)
85

通过集成GitHub、OpenAI和n8n,可以构建一个由AI驱动的自愈CI/CD流水线,实现自动化故障检测、补丁生成和拉取请求。

入选理由:使用OpenAI的AI模型可以自动检测CI/CD流水线中的故障并生成补丁。

FeaturedArticle#CI/CD#AI#DevOps#自动化英文
How to Optimize Enterprise Knowledge Graphs for Scalable Digital Product Platforms

企业知识图谱(EKG)是构建可扩展数字产品平台的核心,但其规模化面临挑战,本文提供了优化策略。

入选理由:知识图谱需采用混合架构以应对高吞吐和复杂查询。

FeaturedArticle#知识图谱#数据工程#企业架构#可扩展性英文
Docker Full Course 2026

Docker Full Course 2026

freeCodeCamp.org105162 字 (约 421 分钟)
82

This Docker course, led by veteran instructor Isa, systematically covers containerization from basic concepts to advanced deployment, ideal for job preparation.

入选理由:课程涵盖虚拟机对比、Dockerfile、镜像构建、Docker Hub 使用等内容。

FeaturedVideo#Docker#Containerization#Cloud Computing#DevOps英文
Build Your Own AI Agent

Build Your Own AI Agent

freeCodeCamp.org223 字 (约 1 分钟)
75

This article introduces a tutorial on building and deploying intelligent AI agents, focusing on using modern tech stacks like Node.js, OpenAI GPT-4, and PostgreSQL to create an AI bot on Slack that automatically handles member research and analysis.

入选理由:课程涵盖从零开始到部署的完整流程,使用Node.js和Express构建后端服务。

FeaturedArticle#AI Agent#Slackbot#Node.js#OpenAI#GPT-4英文
Have you used the has selector in CSS? According to Chris Coyier, it's a game-changer.

The CSS :has selector allows styling parent elements based on the presence or state of child elements, like body:has(input:checked), greatly simplifying complex interactions — yet many developers remain unaware of its existence.

入选理由:CSS has 选择器支持通过子元素状态(如 input:checked)直接样式化父元素,无需 JavaScript

FeaturedVideo#CSS#:has selector#Frontend Development#Browser Feature英文
freeCodeCamp.org 图标

Web Scraping for Beginners 2026

freeCodeCamp.org270 字 (约 2 分钟)
70

本文介绍了一种通过API简化网络爬虫的方法,适合初学者使用。

入选理由:使用API可以绕过网络爬虫的常见障碍,如机器人检测和速率限制。

FeaturedArticle#Web Scraping#API#教程#前端英文
Sometimes, the more you learn about something, the more curious you become. Follow that curiosity.

The deeper you learn, the more curious you become: understanding surface-level knowledge is essential for exploring advanced technical topics like CSS and web security models.

入选理由:学习CSS等技术会激发更多关于其交互机制和实现方式的深度问题。

FeaturedVideo#CSS#Web Development#Learning Method#Curiosity#Technical Exploration英文
How to Build a Case Converter Tool Using HTML, CSS, and JavaScript

How to Build a Case Converter Tool Using HTML, CSS, and JavaScript

freeCodeCamp.org1948 字 (约 8 分钟)
60

本文指导如何使用 HTML、CSS 和 JavaScript 构建一个案例转换工具,适合前端开发初学者。

入选理由:使用 HTML、CSS 和 JavaScript 构建一个案例转换工具。

FeaturedArticle#HTML#CSS#JavaScript#前端英文
Did you know...Instagram didn't start off as a photo-sharing app?

Did you know...Instagram didn't start off as a photo-sharing app?

freeCodeCamp.org187 字 (约 1 分钟)
55

Instagram was initially a complex app called Bourbon that failed, but users focused on the photo feature; after deleting redundant features and adding filters with fast posting, it exploded in growth, showing that product growth comes from simplification, not feature bloat.

入选理由:Instagram前身Bourbon包含签到、计划等功能,但用户仅使用照片功能。

FeaturedVideo#Product Design#Feature Simplification#Growth Strategy英文
Learn Figma in 6 Hours – Full Course for 2026

Learn Figma in 6 Hours – Full Course for 2026

freeCodeCamp.org69439 字 (约 278 分钟)
52

This is a promotional transcript for freeCodeCamp’s 6-hour Figma crash course, covering basics to high-fidelity prototyping with travel/food delivery projects, but lacking technical depth or code—typical edutainment marketing.

入选理由:课程时长6小时,覆盖Figma基础到高保真原型设计,含旅行与外卖App实战项目

FeaturedVideo#Figma#UI/UX Design#Online Course#freeCodeCamp英文
Scaling Your AI Models with Micro-DDP – Tutorial

Scaling Your AI Models with Micro-DDP – Tutorial

freeCodeCamp.org969 字 (约 4 分钟)
50

该视频教程讲解了如何使用Micro-DDP扩展AI模型,但内容以视频形式呈现,缺乏详细的技术深度和结构化信息。

入选理由:Micro-DDP是一种用于扩展AI模型的分布式训练方法。

FeaturedVideo#AI#Micro-DDP#教程#扩展模型中英混合
"I just like computers" - sounds like reason enough to work in tech, doesn't it?

文章讲述个人因对计算机的热爱而选择进入科技行业,但内容缺乏技术深度和实用价值。

入选理由:作者因喜欢计算机而选择科技行业,但未提供具体技术见解。

FeaturedVideo#个人经历#科技行业英文
How Jessica "accidentally" became a developer while living and working in Japan

Jessica accidentally became a developer after teaching in Japan through a government program, discovering higher programmer salaries and gaining the space to pursue coding, illustrating a possible career shift across fields.

入选理由:Jessica因政府项目赴日任教,后从事技术写作工作

FeaturedVideo#Career Transition#Programmer#Japan#Technical Writing#Developer英文
Here's a little programming challenge for you: can you figure out the output of this code?

This article is a transcript of a programming challenge video that presents a code output question and gives the answer as B (14), explaining it results from A=6 being divisible by 3, thus printing 2×B=14. The content lacks technical depth and practical insights, offering only basic logic evaluation.

入选理由:代码输出结果为14,对应选项B。

FeaturedVideo#Programming Challenge#Code Output#Conditional Logic英文

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