📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
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- algorithms
- algorithm
- javascript-algorithms
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📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
TranslatedJava interview & general backend interview guide, covering computer fundamentals, databases, distributed systems, high concurrency, system design, and AI application development
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A professional front-end template for building fast, robust, and adaptable web apps or sites.
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List of top 500 ReactJS Interview Questions & Answers....Coding exercise questions are coming soon!!
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Source for remoteintech.company — a community-maintained directory of remote-friendly tech companies
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TranslatedProgrammer Yupi's (程序员鱼皮) complete AI resource collection + zero-basics Vibe Coding tutorial. Shares step-by-step OpenClaw tutorials, ways to use large models (DeepSeek / GPT / Gemini / Claude / GLM), the latest AI news, a complete collection of Prompts, an AI knowledge encyclopedia (Agent Skills / RAG / MCP / A2A), AI programming tutorials (Harness Engineering), guides to using AI tools (Cursor / Claude Code / TRAE / Codex / Copilot), AI development framework tutorials (Spring AI / LangChain), and a guide to monetizing AI products, helping you quickly master AI technology and stay at the forefront of the times. This project is the open-source documentation aiguide, which has been upgraded to the Yupi AI Navigation website (鱼皮 AI 导航网站)
💻 Vibe Coding 101|Your First Course For AI Product Builders.
List of JavaScript methods which you can use natively + ESLint Plugin
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The open curriculum for learning web development
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Translated:octocat: Vue.js source code analysis
Programming style, best practices, and coding conventions.
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TranslatedApacheCN collection of translated texts on data structures and algorithms
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.