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Mastra released a course for beginners to build an AI agent with TypeScript, covering project structure, tools, MCP, memory, and deployment.
"XQuant: Everyone Can Be a Quantitative Trader" is an open-source introductory manuscript for quantitative trading aimed at beginners, teaching readers to describe strategy ideas in natural language and have AI write the code, building a systematic quantitative trading system from scratch.
A Chinese quantitative finance tutorial for absolute beginners, using Jupyter Notebook format, containing 4 chapters (quantitative cognition, return analysis, dual moving average strategy, and strategy backtesting). Uses yfinance to fetch real data, each chapter can be run through in about 30 minutes.
A personal account of Phase 0 learning AI engineering from scratch, focusing on setting up tooling rather than writing model code, shared as a thread of 12 lessons.
A commerce beginner seeks a step-by-step roadmap and tool recommendations to automate web-to-PDF-to-Excel workflows plus AI-driven Excel formulas without coding experience.