# theja-m/Data-Structures-and-Algorithms

Data Structures and Algorithms in Python

Repository: https://github.com/theja-m/Data-Structures-and-Algorithms
Canonical: https://ross.abutalabs.com/products/theja-m-data-structures-and-algorithms
Language: Python
License Family: other
Last push: 2024-10-07T05:31:03+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": 2433, "days_push": 695, "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 1666, forks 988 (observed 2026-08-28T04:05:19.521857+00:00)

## What it is
A collection of Python implementations of common data structures and algorithms, including arrays, graphs, linked lists, sorting, dynamic programming, and graph traversals. It serves as an educational reference for learning and reviewing core computer science concepts.

## Use cases
- learn data structures in python
- study algorithms for coding interviews
- find example implementations of graphs and linked lists
- review dynamic programming and recursion examples
- reference sorting and BFS/DFS implementations

## When to choose
- you want readable Python examples of classic data structures and algorithms
- you are preparing for technical interviews and need reference code
- you are teaching or learning CS fundamentals

## When to avoid
- you need a production-ready, tested algorithm library
- you need guaranteed maintenance, licensing clarity, or performance-optimized implementations

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, tutorials
- platform: python
- tags: data-structures, algorithms, interview-prep, python-examples

## Member repositories
- theja-m/Data-Structures-and-Algorithms (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:19.521857+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 2026-08-30T03:43:00.453611+00:00, confidence not recorded.
  - readme: https://github.com/theja-m/Data-Structures-and-Algorithms (fetched 2026-08-28T04:05:19.521857+00:00, sha 87d274f702fe)
- Data as of 2026-08-30T08:39:29.467469+00:00.