coells/100days resource
100 days of algorithms 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
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
- readme: https://github.com/coells/100days · fetched 2026-08-28 · 07f5549a96f2
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| coells/100days | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem