# chiphuyen/python-is-cool

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

Repository: https://github.com/chiphuyen/python-is-cool
Canonical: https://ross.abutalabs.com/products/python-is-cool
Homepage: https://huyenchip.com
Language: Jupyter Notebook
License Family: other
Topics: python-tutorials, python3, advanced-python, data-science, machine-learning
Last push: 2019-12-27T04:06:24+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2508, "days_push": 2441, "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 3667, forks 569 (observed 2026-08-28T04:08:13.405053+00:00)

## What it is
A Jupyter notebook tutorial by Chip Huyen covering advanced Python features (lambda, map, filter, reduce, and more) aimed at machine learning practitioners. It can be run locally or in the browser via Binder.

## Use cases
- learn advanced python features for machine learning
- understand lambda map filter reduce in python
- python tips for data science
- brush up on python 3 idioms
- interactive python tutorial with binder

## When to choose
- you know basic python and want to level up for ML work
- you prefer runnable notebooks over static docs

## When to avoid
- you need a maintained library or tool rather than a tutorial
- you are a complete beginner to python
- you need content guaranteed to be updated

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: machine-learning, tutorials, programming-languages, data-science
- platform: python
- tags: jupyter-notebook, python-tips, advanced-python, binder

## Member repositories
- chiphuyen/python-is-cool (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:13.405053+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 2026-08-29T18:31:31.582627+00:00, confidence not recorded.
  - readme: https://github.com/chiphuyen/python-is-cool (fetched 2026-08-28T04:08:13.405053+00:00, sha 804d6132f2be)
  - homepage: https://huyenchip.com (fetched 2026-08-29T09:25:28.157562+00:00, sha 7f2d89bfddef)
- Data as of 2026-08-30T08:39:29.467469+00:00.