# microsoft/c9-python-getting-started

Sample code for Channel 9 Python for Beginners course

Repository: https://github.com/microsoft/c9-python-getting-started
Canonical: https://ross.abutalabs.com/products/c9-python-getting-started
Language: Jupyter Notebook
License: MIT
License Family: permissive
Last push: 2023-05-25T02:53:23+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": 2542, "days_push": 1196, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 8020, forks 2285 (observed 2026-08-28T04:10:11.829777+00:00)

## What it is
Sample code and Jupyter notebooks accompanying Microsoft's Channel 9 'Python for Beginners' video course series. It teaches Python fundamentals, syntax, and popular packages like pandas and scikit-learn to developers familiar with another programming language.

## Use cases
- learn python from scratch
- python tutorial for experienced developers
- getting started with jupyter notebooks
- learn pandas and scikit-learn basics
- python video course sample code
- transition from javascript or java to python

## When to choose
- you already know another programming language and want to learn Python quickly
- you prefer video-based learning with accompanying code samples
- you want a gentle introduction to data science tools like Jupyter, pandas, and scikit-learn

## When to avoid
- you have never programmed before and need absolute beginner material
- you need comprehensive or up-to-date Python documentation rather than course samples
- you are looking for a production-ready library or tool

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, programming-languages, data-science, tutorials
- platform: python, cross-platform
- tags: python-beginners, video-course, jupyter-notebooks, channel-9, sample-code, scikit-learn, pandas

## Member repositories
- microsoft/c9-python-getting-started (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:11.829777+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 2026-08-29T17:31:59.287585+00:00, confidence not recorded.
  - readme: https://github.com/microsoft/c9-python-getting-started (fetched 2026-08-28T04:10:11.829777+00:00, sha d3552b4a0a9a)
- Data as of 2026-08-30T08:39:29.467469+00:00.