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Release Notes — Snippets Repository

v1.0.0 (April 2025)

🎉 First complete public release of the Snippets repository, a modular Python-based toolkit for data cleaning, EDA, modeling, visualisation, and policy-relevant summaries — tailored to development research, MEL, public health, gender, education, and WEE work in South Asia.

🔍 Overview

This repository includes:

📓 Notebooks

  • 10 fully structured Jupyter notebooks in /notebooks/
  • Designed for plug-and-play use with step-by-step code and markdown instructions
  • Fully Colab-compatible — includes launch badges in README.md
  • Sample datasets included for demo

🧾 Python Scripts

  • Modular .py functions for cleaning, modeling, exporting, mapping, etc.
  • Includes STATA/SPSS import via pyreadstat, Excel reporting via xlsxwriter, and validation via pydantic

🧪 Sample Data

  • Simulated CSVs for gender and time use examples (usable out-of-the-box)

✅ Colab Compatibility

All notebooks live in the /notebooks/ directory.
Colab badge links in the README.md are pre-configured and will work after uploading this structure to GitHub on the main branch.

Example badge (in README):

[Open in Colab](https://colab.research.google.com/github/Varnasr/Snippets/blob/main/notebooks/sector_gender_summary.ipynb)

📂 Documentation Included

  • README.md: Project overview and Colab badges
  • use_cases.md: Public health, education, gender, and MEL scenarios
  • requirements.txt: All libraries used (installable via pip)
  • CONTRIBUTING.md: Guidelines for external contributors
  • LICENSE: MIT license for reuse and modification
  • release_notes.md: You’re reading it.

🔖 Recommended GitHub Tags

public-health  mel  gender  data-cleaning  python  evaluation  jupyter-notebooks  education  wee  india  policy-analysis

👩🏽‍💻 For Use In

  • MEL & Evaluation workflows
  • Mixed-methods and field datasets
  • Exploratory analyses for NFHS/NSSO-style data
  • WEE indicators, gender-disaggregated metrics
  • Health access and resilience scoring

Let me know if you use it or want to contribute improvements. Thanks for exploring!