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Clean up SignalStack: remove stubs, fix docs, add .github files
- Remove 18 empty stub files across 3 book directories (research_methods, network_collective_action, learning_ai_excel) - Remove emojis from all markdown files - Rewrite extras/README.md and extras/index.md to reflect actual contents - Rewrite CHANGELOG.md with real release notes - Update README.md with honest content status and extras table - Fix index.md landing page (remove emojis, fix broken resources link) - Fix issue notes (remove emoji section headers) - Add CITATION.cff - Add .github/FUNDING.yml with correct username - Add bug report and feature request issue templates
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.github/FUNDING.yml

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github: varnasr
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custom: ["https://openstacks.dev"]
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---
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name: Bug Report
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about: Report broken links, incorrect content, or formatting issues
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labels: bug
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---
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**What's wrong?**
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**Where is it?**
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(Link to the file or section)
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**Expected behavior**
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---
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name: Feature Request
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about: Suggest a resource, tool, or newsletter topic to feature
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labels: enhancement
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---
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**What would you like to see featured?**
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**Why is this relevant to development research?**
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**Links or references**

CHANGELOG.md

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### Changelog
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All notable changes to this project will be documented in this file. Dates are displayed in UTC.
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#### v1.1.0 (April 2025)
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- Published Issue 2: Gender-responsive climate resilience, health equity, BRICS+, visualizing uncertainty
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- Added extended notes for THR June edition with source links
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- Added book companion extras for 101 Data Science Drawings
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- Added featured tool: Learning Generative AI Tools for Excel
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Generated by [`auto-changelog`](https://github.com/CookPete/auto-changelog).
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#### v1.0.0 (June 2024)
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- Initial release with Issue 1: Food security, IPCC synthesis, ocean gender equity
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- Repository structure with issues, extras, and featured sections
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- Landing page and newsletter subscription links

CITATION.cff

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cff-version: 1.2.0
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message: "If you reference this collection, please cite it as below."
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type: dataset
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title: "SignalStack"
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abstract: "Research Rundown newsletter archive and curated development resources."
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authors:
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- family-names: "Sri Raman"
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given-names: "Varna"
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version: 1.1.0
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date-released: "2025-04-27"
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license: MIT
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url: "https://openstacks.dev"
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repository-code: "https://github.com/Varnasr/SignalStack"
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keywords:
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- development research
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- newsletter
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- climate resilience
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- gender equity
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- open science

README.md

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## What This Is
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SignalStack is the companion repository for the **Research Rundown** newsletter. It hosts archived newsletter issues, featured research tools, method spotlights, and curated resources for development practitioners.
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SignalStack is the companion repository for the **Research Rundown** newsletter. It hosts archived newsletter issues, featured research tools, book companion materials, and curated resources for development practitioners.
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This is the **knowledge curation layer** of [OpenStacks for Change](https://openstacks.dev) an open ecosystem of tools for public interest research and evaluation.
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This is the **knowledge curation layer** of [OpenStacks for Change](https://openstacks.dev) -- an open ecosystem of tools for public interest research and evaluation.
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## What's Inside
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```
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SignalStack/
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├── issues/ # Newsletter issue archives with summaries
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├── featured/ # Featured research tools and methods
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├── extras/ # Extended notes and companion materials
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├── assets/banner/ # Visual assets
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├── index.md # Landing page content
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└── package.json # Automation config
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├── issues/ # Newsletter issue archives
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│ ├── april-2025/ # Issue 2
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│ └── june-2024/ # Issue 1
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├── featured/ # Featured research tools and methods
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├── extras/
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│ ├── books/ # Book companion notes (101 Data Science Drawings)
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│ └── issue notes/ # Extended newsletter notes with source links
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├── assets/banner/ # Visual assets
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└── index.md # Landing page content
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```
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## Newsletter Issues
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| Issue | Date | Topics |
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|-------|------|--------|
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| Issue 2 | April 2025 | Gender-responsive climate resilience, health equity |
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| Issue 1 | June 2024 | Food security, ocean gender equity |
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| Issue | Date | Topics | Status |
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|-------|------|--------|--------|
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| [Issue 2](issues/april-2025/) | April 2025 | Gender-responsive climate resilience, health equity, BRICS+, visualizing uncertainty | Published |
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| [Issue 1](issues/june-2024/) | June 2024 | Food security, IPCC synthesis, ocean gender equity, decolonising research, OpenAlex | Published |
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## Extras
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| Resource | Description |
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|----------|-------------|
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| [101 Data Science Drawings](extras/books/101_data_drawings_extras/) | Companion notes for Raymond Lim's visual data science guide |
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| [THR June Notes](extras/issue%20notes/notes-on-THR-june-edition.md) | Extended links and references for the June edition |
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| [AI Tools for Excel](featured/learning-generative-ai-tools-for-excel.md) | Featured tool: using AI to supercharge Excel workflows |
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## How It Connects
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SignalStack is one of several stacks in the [OpenStacks](https://openstacks.dev) ecosystem:
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| Stack | Focus | Link |
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|-------|-------|------|
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| [InsightStack](https://github.com/Varnasr/InsightStack) | MEL tools, calculators, documentation | Knowledge systems |
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| [FieldStack](https://github.com/Varnasr/FieldStack) | R notebooks for fieldwork & evaluation | Applied data work |
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| [EquityStack](https://github.com/Varnasr/EquityStack) | Python workflows for development data | Data pipelines |
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| **SignalStack** (this repo) | Research Rundown newsletter archive | You are here |
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| Stack | Focus |
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|-------|-------|
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| [InsightStack](https://github.com/Varnasr/InsightStack) | MEL tools, calculators, documentation |
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| [FieldStack](https://github.com/Varnasr/FieldStack) | R notebooks for fieldwork and evaluation |
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| [EquityStack](https://github.com/Varnasr/EquityStack) | Python workflows for development data |
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| **SignalStack** (this repo) | Research Rundown newsletter archive |
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**SignalStack curates and highlights** tools and methods from the other stacks. If you find a tool here that interests you, follow the link to the relevant stack for the actual code.
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SignalStack curates and highlights tools and methods from the other stacks. If you find a tool here that interests you, follow the link to the relevant stack for the actual code.
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## Subscribe
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## License
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MIT free to use, modify, and share. See [LICENSE](LICENSE).
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MIT -- free to use, modify, and share. See [LICENSE](LICENSE).
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---
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**Created by [Varna Sri Raman](https://github.com/Varnasr)** Development Economist & Social Researcher
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**Created by [Varna Sri Raman](https://github.com/Varnasr)** -- Development Economist & Social Researcher

extras/README.md

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# Extras Collection
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# 📚 Extras Collection: Expanded Book Resources
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Companion materials for Research Rundown newsletter issues and featured books.
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Welcome to the comprehensive extras collection for four major books and curated newsletter editions on AI, collective action, research methods, and data storytelling.
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## Contents
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## 📂 Structure Overview
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- /network_collective_action/
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- index.md
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- summary.md
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- concepts.md
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- examples.md
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- strategies.md
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- network_dynamics.md
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- /research_methods/
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- index.md
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- summary.md
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- methods.md
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- templates.md
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- open_research.md
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- research_design.md
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- /learning_ai_excel/
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- index.md
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- summary.md
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- concepts.md
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- examples.md
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- tools.md
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- advanced_use.md
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- /101_data_drawings/
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- index.md
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- summary.md
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- key_concepts.md
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- applications.md
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- visual_walkthroughs.md
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- resources.md
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- README.md
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- /issue_notes/
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- thr_june.md
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- README.md
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- index.md
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- **books/101_data_drawings_extras/** -- Companion notes for *101 Data Science Drawings* by Raymond Lim
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- **issue notes/** -- Extended notes and resource links for newsletter editions
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Each section links to organized, content-rich resources based directly on published material or curated editions of *The Research Rundown*.
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Each section contains curated resources based on published material or editions of *The Research Rundown*.
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# 📘 101 Data Science Drawings - Companion Extras
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# 101 Data Science Drawings - Companion Extras
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This folder contains structured companion resources to Raymond Lim's book *101 Data Science Drawings*.
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This folder contains structured companion resources to Raymond Lim's book *101 Data Science Drawings*.
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It supports quick learning and reference through:
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- Summarized notes for each topic
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- Definitions and refresher concepts
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- Use-case applications across fields
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- Links to visual TikTok walkthroughs
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- Study and practice resources
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- Summarized notes for each topic
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- Definitions and refresher concepts
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- Use-case applications across fields
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- Links to visual TikTok walkthroughs
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- Study and practice resources
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## 📂 Folder Contents
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## Folder Contents
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- `index.md` Overview and table of contents
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- `summary.md` Book summary across all 6 parts
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- `key_concepts.md` Definitions and annotated ideas
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- `applications.md` Real-world applications and relevance
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- `visual_walkthroughs.md` TikTok walkthrough links
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- `resources.md` Further study recommendations
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- `index.md` -- Overview and table of contents
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- `summary.md` -- Book summary across all 6 parts
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- `key_concepts.md` -- Definitions and annotated ideas
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- `applications.md` -- Real-world applications and relevance
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- `visual_walkthroughs.md` -- TikTok walkthrough links
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- `resources.md` -- Further study recommendations
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This folder is part of the broader OpenStacks and Research Rundown extras ecosystem.
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This folder is part of the broader OpenStacks and Research Rundown extras ecosystem.

extras/books/learning_ai_excel/advanced_use.md

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extras/books/learning_ai_excel/concepts.md

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