Ross ROSS = Recommend OSS · open-source software intelligence for agents

coells/100days resource

100 days of algorithms observed · 2026-08-28

github.com/coells/100days · Jupyter Notebook observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3449
  • days_rel: n/a
  • days_push: 3036
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

7475 stars · 1159 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A collection of Jupyter notebooks accompanying the '100 days of algorithms' Medium challenge, implementing one algorithm per day in Python. It serves as an educational resource with live, runnable code rather than production-quality software.

Use cases

  • learn algorithms with runnable python notebooks
  • study implementations of classic algorithms
  • follow a 100-day algorithm learning challenge
  • find example code for sorting, graphs, and math algorithms
  • use notebooks as teaching material for algorithms

When to choose

  • you want hands-on, runnable notebook examples of many algorithms
  • you are learning algorithms and prefer code over theory
  • you want a broad survey of algorithm implementations in Python

When to avoid

  • you need production-ready, bug-free, or optimized implementations
  • you need a maintained library with a license for commercial use
  • you need up-to-date compatibility with modern Python versions

Facets

learning-resource · maturity abandoned

developer-tools data-visualization tutorials education python cross-platform jupyter-notebooks algorithms learning-challenge educational

1 source

Member repositories

RepositoryRoleHealth v2
coells/100daysmain32

For agents

markdown · JSON · MCP: product_card(name="coells/100days")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem