📚 InsightStack – Learning Library

Welcome to the InsightStack Learning Library — a curated, structured, and enriched folder of books, handbooks, visual references, and templates across key knowledge domains:

🎨 Programming & Creative Coding
📊 Data Science with R and Excel
🎓 Research Design & Methodology
🤖 AI-enhanced Workflows
✍️ Visual Learning & Concept Sketches

Each folder includes:

PDFs or guides
README with summary, tags, and key excerpts
Cross-references to related folders
Prompts, cheatsheets, or learning templates where applicable

📂 Folder Structure

Folder	Description
`01_programming/`	Creative and generative coding resources
`02_data_science/`	R programming, Excel, visualization, data analysis
`03_research_methods/`	Research paradigms, design, and digital methods
`04_ai_tools/`	AI-enhanced workflows and prompt engineering
`05_visual_summaries/`	Sketch-based, illustrated learning guides

🧭 Quick Access Index

🔄 USE_CASES.md – Suggested learning paths by goal
🧰 workbooks/ – Markdown-based templates, cheatsheets, and prompt guides
📘 ABOUT_THIS_LIBRARY.md – Background, use rationale, licensing
🤝 CONTRIBUTING.md – How to add summaries, templates, or new resources
🧾 docs/index.md – Offline-friendly guide to the full structure
🏷️ labels/tags.md – Shared tagging structure

🧑‍🎓 Who This Is For

Independent learners building real-world skills
Researchers navigating methodology and digital tools
Development practitioners blending tech + social insight
Teams who want to explore LLM-enhanced productivity

⚖️ Licensing Notes

Open-access items retain attribution and license info
Fair-use PDFs are for educational, private, or review use only
If any resource needs to be removed or replaced, open an issue or pull request

Created and maintained by @varnasr
Part of the broader InsightStack repository for accessible knowledge tooling.