# jeroenjanssens/data-science-at-the-command-line

Data Science at the Command Line

Repository: https://github.com/jeroenjanssens/data-science-at-the-command-line
Canonical: https://ross.abutalabs.com/products/data-science-at-the-command-line
Homepage: https://datascienceatthecommandline.com
Language: HTML
License: NOASSERTION
License Family: other
Topics: data-science, linux, unix, cli, bash, book, gnuplot, ggplot2, r, python, bookdown, zsh, jq, curl, cowsay, terminal, shell, oreilly, oreilly-books
Last push: 2024-05-03T09:44:29+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4734, "days_push": 852, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3968, forks 765 (observed 2026-08-28T04:08:30.770966+00:00)

## What it is
The open repository for the book 'Data Science at the Command Line' by Jeroen Janssens, containing the full text, datasets, and scripts from its second edition. The book is freely readable online and teaches data science workflows using Unix command-line tools like jq, curl, and shell scripting.

## Use cases
- learn data science from the command line
- learn shell scripting for data analysis
- find examples of jq and curl for data processing
- get the datasets and scripts used in the book
- read a free book on unix command-line tools for data work

## When to choose
- you want to learn command-line tools for data science tasks
- you prefer shell-based workflows over notebooks or GUIs
- you need the book's companion data and scripts

## When to avoid
- you need a software tool or library rather than a book
- you want GUI-based or Python-centric data science tutorials
- you need a permissively licensed text you can redistribute or modify (CC BY-NC-ND)

## Facets
- artifact type: learning-resource
- maturity: stable
- function: data-science, cli, developer-tools
- domain: data-science, tutorials, education
- platform: cli, cross-platform
- tags: book, shell, bash, command-line-tools, oreilly, bookdown, command-line, linux, macos

## Member repositories
- jeroenjanssens/data-science-at-the-command-line (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:30.770966+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 2026-08-29T18:24:23.372859+00:00, confidence not recorded.
  - readme: https://github.com/jeroenjanssens/data-science-at-the-command-line (fetched 2026-08-28T04:08:30.770966+00:00, sha 4f1c9e622a7f)
  - homepage: https://datascienceatthecommandline.com (fetched 2026-08-29T09:17:48.399093+00:00, sha 6e5d601023ab)
- Data as of 2026-08-30T08:39:29.467469+00:00.