# ChawlaAvi/Daily-Dose-of-Data-Science

A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/

Repository: https://github.com/ChawlaAvi/Daily-Dose-of-Data-Science
Canonical: https://ross.abutalabs.com/products/daily-dose-of-data-science
Language: Jupyter Notebook
License Family: other
Topics: data-science, jupyter, python, python-tips, data-science-tips, data-analysis, data-visualization, jupyter-notebook, jupyter-tips, matplotlib, pandas, pandas-tips, sklearn, matplotlib-tips, numpy
Last push: 2025-06-09T17:52:17+00:00

## Health v2 (maintenance only)
Score: 43/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 25, release rhythm 35, longevity 97
- inputs: {"age_days": 1370, "days_push": 450, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1223, forks 267 (observed 2026-08-28T04:04:02.637789+00:00)

## What it is
A curated collection of Jupyter notebook code snippets from the Daily Dose of Data Science Substack publication, covering pandas, NumPy, matplotlib, sklearn, Jupyter tips, and optimization techniques. It serves as a companion repository to the daily data science newsletter.

## Use cases
- learn pandas tips and tricks with runnable notebooks
- find matplotlib plotting examples
- compare pandas vs polars performance
- learn jupyter notebook productivity tips
- improve python data analysis skills
- find sklearn and machine learning code examples
- learn memory and runtime optimization for data science

## When to choose
- you want short, practical, runnable data science examples
- you follow the Daily Dose of Data Science newsletter and want the code
- you are learning pandas, numpy, or matplotlib idioms

## When to avoid
- you need a production-ready library or package
- you need a single cohesive tool rather than scattered snippets
- you require a maintained software dependency with a license

## Facets
- artifact type: learning-resource
- maturity: active
- function: data-science, data-visualization, developer-tools
- domain: data-science, tutorials, data-visualization
- platform: python, cross-platform
- tags: jupyter-notebooks, pandas-tips, numpy, matplotlib, sklearn, code-snippets, newsletter, substack

## Member repositories
- ChawlaAvi/Daily-Dose-of-Data-Science (main) score 43

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:02.637789+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:15:30.470498+00:00, confidence not recorded.
  - readme: https://github.com/ChawlaAvi/Daily-Dose-of-Data-Science (fetched 2026-08-28T04:04:02.637789+00:00, sha 38854462656d)
- Data as of 2026-08-30T08:39:29.467469+00:00.