#systematic Python course
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Product Reviews·2 min
Gemini 2.5 Pro Hands-On Review: How Good Is Its Frontend UI Generation?
Hands-on testing of Gemini 2.5 Pro's real performance in frontend UI generation, code writing, and task planning—from blog DevOps to immersive 3D starfield pages on the AntiGravity platform.
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Tutorials·2 min
Deep Learning Beginner Tutorial: From Neural Network Fundamentals to Image Recognition in Three Days
A systematic review of a three-day deep learning crash course covering neural network math, gradient descent, backpropagation, TensorFlow, CNNs, and transfer learning with practical tips.
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Tech Frontiers·3 min
AI Test Development Learning Path: A Practical Guide from Prompt Engineering to RAG Knowledge Bases
A systematic AI test development learning path covering LLM fundamentals, prompt engineering, PyTest automation, RAG knowledge bases, and MCP tool chains to help QA engineers master AI-empowered testing.
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Tech Frontiers·2 min
Andrew Ng's New Course: Experience the Vibe Coding Paradigm with Replit
Andrew Ng partners with Replit on a Vibe Coding 101 course teaching how to build web apps with AI coding agents. Zero experience needed, hands-on in 3 minutes with SEO analyzer and voting app projects.
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Tutorials·3 min
Full-Stack Development for Beginners in the AI Era: Don't Write Code — Learn to Manage It
AI coding tools make code generation easy, but a huge gap remains between code and product. This article breaks down frontend, backend, and DevOps stacks, exploring how beginners can manage code with AI.
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Expert Opinions·2 min
A Stay-at-Home Dad With Zero Coding Skills Built Websites With AI — After 300 Attempts, He's Now Making Over $220K/Year
Stay-at-home dad Liang Chengwei built 300+ websites with AI and zero coding skills. After his 40th site started earning, he now makes $220K+/year. Full breakdown of his process and monetization.
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Tutorials·2 min
Senior Developers Transitioning to AI: A 2025 Pitfall-Avoidance Guide & Practical Roadmap
How can 30+ programmers efficiently transition to AI? Practical advice on learning strategy, project experience, and interview techniques to break into AI.
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Tutorials·2 min
OpenAI Codex Hands-On Tutorial: A Complete Guide to Prompt Engineering, Agent Skills & Cloud Automation
Deep dive into OpenAI Codex's three core capabilities: prompt engineering for better code generation, agent skills for autonomous programming, and cloud automation for end-to-end CI/CD pipelines.
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Product Reviews·2 min
In-Depth Review of the 2026 Python Complete Tutorial (648 Episodes): Can You Really Master It in 7 Days Through Self-Study?
In-depth review of a 648-episode Bilibili Python tutorial: analyzing course structure, learning path, and projects. Reveals the truth behind "7-day mastery" and offers effective self-study tips.
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Tutorials·2 min
Python Machine Learning in Practice: A Complete Guide from Algorithm Derivation to Code Implementation
A systematic Python ML course using a 3-stage framework: algorithm derivation, code implementation, and experimental analysis. Covers logistic regression, decision trees, and ensemble learning.
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Tutorials·1 min
9-Week Python Beginner's Guide: A Complete Learning Path from Zero to Independent Programming
A teaching-proven 9-week Python learning path for absolute beginners, covering syntax, data types, control structures, functions, and file handling with 16 hands-on projects.
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Tutorials·1 min
AI Agent Open-Source Course: 36 Chapters from ReAct to Claude Code Full-Stack Practical Guide
Open-source GitHub project agent-study offers 36 chapters covering ReAct loops, Claude Code reverse engineering, MCP protocol, RAG, DSPy, and production observability as runnable Python code.
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Product Reviews·2 min
astock-peg: An Open-Source Tool for Finding Undervalued A-Share Stocks Using the PEG Ratio
astock-peg is an open-source A-share PEG analysis tool built with Claude Code, integrating watchlist queries, AI deep analysis, and industry PE comparison to help investors find undervalued stocks.
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Tutorials·1 min
Python Learning Roadmap for Beginners: 9 Weeks, 16 Hands-On Projects from Zero to Computational Thinking
A teaching-proven Python beginner roadmap: 9 weeks, 3 phases, 16 hands-on projects. From ten lines of code to computational thinking mastery.
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Tutorials·3 min
2026 AI Learning Roadmap: 3 Proven Paths + A 4-Step Action Checklist (With Complete Technical Framework)
How to learn AI in 2026 without wasting time? This guide covers 3 proven paths — AI Agent customization, vertical specialization, and full-stack LLM development — plus a 4-step action checklist.
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Tutorials·2 min
2026 AI Large Language Model Learning Roadmap: Complete Guide from Zero to Agent Development
2026 AI large model learning roadmap: from Python basics and prompt engineering to RAG knowledge base, Agent development, and fine-tuning deployment. A complete 42-episode full-stack tutorial with three proven paths for enterprise AI deployment.
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Product Reviews·4 min
Manus Hands-On Review: Testing a General-Purpose AI Agent Across Three Real-World Scenarios
Hands-on testing of Manus general AI Agent across history report generation, Tesla stock analysis, and GAIA benchmarks. Compares vertical vs general agents with scoring data and limitation analysis.
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Product Reviews·4 min
Trae Solo vs Cursor Real-World Comparison: Which AI Coding Tool Builds a Better Student Management System?
Real-world comparison of Trae Solo vs Cursor building a Python Flask student management system, testing architecture design, code generation speed, runtime results, and practical recommendations.
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Tutorials·3 min
GitHub Beginner's Guide: A Plain-Language Introduction to the World's Largest Open Source Platform
What is GitHub? This beginner's guide covers core features: discovering trending projects, reading READMEs, downloading Releases, using Issues, and Forking repos—no coding required.
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Tutorials·4 min
Vibe Coding Practical Guide: SDD Methodology Explained with 4 Enterprise-Level AI Programming Projects
Deep dive into SDD specification-driven development methodology with 4 enterprise-level Vibe Coding projects including Chat BI and multimodal knowledge bases, covering Cursor, Claude Code, and Prompt Engineering.
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