ABOUT_THIS_LIBRARY.md

📚 What Is This?

This learning library is a curated collection of handbooks, guides, visual references, and templates designed to support:

Independent learners seeking to upskill in data science, programming, or AI tools
Researchers exploring methodological depth or open paradigms
Teams working with AI-enhanced workflows in Excel or R

It brings together open-access resources and review copies in a structured, thematically organized way.

🎯 Why It Was Built

This library was assembled to bridge practical learning (e.g., Excel + AI, creative programming) with foundational thinking (e.g., research design, epistemology). It reflects a commitment to:

Open learning
Interdisciplinary fluency
Practical application

📁 How It’s Organized

Each folder in this library is organized by theme:

01_programming/ → Creative and generative coding
02_data_science/ → Analysis and visualization using R or Excel
03_research_methods/ → Critical paradigms, design, and epistemology
04_ai_tools/ → Prompt engineering and AI productivity (cross-linked)
05_visual_summaries/ → Illustrated concepts for visual reinforcement

⚖️ Licensing Notes

Many files here are educational review copies or open-licensed works:

GO-GN Research Methods Handbook is CC-BY 4.0
Others are included under educational fair use for private study and scholarship
Attribution is preserved in filenames and summaries

If you believe a file should be removed or replaced, please open an issue or pull request.