This repository provides lecture materials, including presentation slides (PDFs) and accompanying code examples, aimed at technical education. It targets students and learners who require stable internet access and reliable tools for AI model interaction, offering curated recommendations for third-party services to facilitate a seamless learning environment.

How It Works

This repository offers lecture materials, including presentation slides (PDFs) and accompanying code examples, designed for technical education. The project's core approach centers on enabling effective learning by addressing common infrastructure challenges. It curates and strongly recommends third-party services, such as VPNs/proxies ("airport services") for stable global internet access and API relay stations (e.g., PackyAPI) for cost-effective and reliable access to large language models like ChatGPT and Claude. This ecosystem focus aims to provide a seamless learning environment, abstracting away complexities of network access and API management.

Quick Start & Requirements

• Primary install command for specific examples: pip install -U scikit-learn
• Lecture PDFs require local download via a "Download" link on their respective pages.
• Access to recommended VPN/proxy and API relay services may incur costs.
• Links to Bilibili homepage and personal blog are provided for further resources.

Highlighted Details

• Strong recommendations for paid VPN/proxy services (XMRth, 赔钱机场, marslink) with claims of 4+ years of stable operation, AI risk control bypass, and streaming unblocking.
• Endorsement of PackyAPI as an AI API relay service, highlighting low costs (1 RMB = 1 USD credit), broad model coverage (Claude, OpenAI, Gemini), and stability.
• Includes a Python code example demonstrating loading the iris dataset using scikit-learn.

Maintenance & Community

• Community interaction is encouraged via QQ (1366420642).
• Links to the author's Bilibili homepage and personal blog are provided for additional content and engagement.

Licensing & Compatibility

• No software license is specified within the provided README content.
• Compatibility for commercial use is undetermined due to the lack of licensing information.

Limitations & Caveats

• Lecture PDFs are not directly previewable in the browser and must be downloaded.
• The repository heavily relies on third-party, paid services for core functionality (stable internet, AI API access), representing a potential ongoing cost and dependency.
• No explicit license information is provided, making commercial use or redistribution unclear.