krahets/hello-algo
Summary
Hello Algorithm is an open-source tutorial on algorithms and data structures, featuring animated illustrations and implementations in multiple programming languages, suitable for self-study by beginners.
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Open-source Project: 503 lessons. 20 phases. Every algorithm built from raw math before a single framework gets imported.
An open-source project offering 503 lessons across 20 phases, teaching each algorithm from raw mathematical foundations before introducing any framework.
@0x0SojalSec: Learn algorithms visually! interactive visualizations that actually make concepts click, Prim's, Dijkstra, sorting it's…
Introduces a tool that provides live visualizations and code for learning algorithms like Prim's, Dijkstra, and sorting, making concepts easier to understand.
datawhalechina/hello-agents
Datawhale社区发布的开源中文教程《从零开始构建智能体》，系统性讲解AI原生智能体的理论与实践，涵盖从基础原理到自研框架HelloAgents的完整学习路径。
@cevenif: Using Claude Code or Codex for development, but feel like AI is running wild? This course might be the missing piece you need. There's an open-source course on GitHub called Learn Harness Engineering, which teaches you to establish a controllable workflow framework for AI coding assistants, centered around five core mechanisms...
GitHub open-source course Learn Harness Engineering teaches you to build a controllable workflow framework for AI coding assistants (e.g., Claude Code, Codex). It includes 12 theory lessons and 6 hands-on projects, covering core mechanisms: instruction, state, validation, scope, and session.
@NFTCPS: MIT's 'Mathematics for Computer Science' — if you're serious about CS, save this now. This book is basically the ceiling. Don't be intimidated by 1,048 pages; it's thick but it's written for beginners. I was also stunned at first: 1,048 pages counts as introductory? But when I flipped through, I realized it doesn't rush you to finish at once — it breaks down the fundamentals into tiny pieces...
Recommending the MIT classic textbook 'Mathematics for Computer Science', suitable for computer science beginners to systematically learn foundational mathematics.