# codebasics/data-structures-algorithms-python

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.

Repository: https://github.com/codebasics/data-structures-algorithms-python
Canonical: https://ross.abutalabs.com/products/data-structures-algorithms-python
Language: Jupyter Notebook
License Family: other
Last push: 2024-06-30T17:17:55+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": 2164, "days_push": 794, "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 1431, forks 1618 (observed 2026-08-28T04:04:42.981243+00:00)

## What it is
A tutorial series of Jupyter Notebooks teaching data structures and algorithms in Python, with theory, Big O complexity analysis, and practice exercises. It accompanies a YouTube video playlist from the codebasics channel.

## Use cases
- learn data structures and algorithms in python
- prepare for coding interviews with big o analysis
- practice algorithm exercises in jupyter notebooks
- understand time and space complexity of python data structures
- follow a structured dsa course alongside youtube videos

## When to choose
- you are a beginner wanting theory plus exercises for each data structure and algorithm
- you prefer learning with video lectures paired with runnable python notebooks
- you need big o complexity analysis explained alongside implementations

## When to avoid
- you need a production-ready data structures library to import into your project
- you want an advanced or research-level algorithms reference
- you require a maintained, licensed software package

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools
- domain: tutorials, education
- platform: python
- tags: data-structures, algorithms, big-o, python-tutorial, jupyter-notebooks, exercises, video-course, interview-prep

## Member repositories
- codebasics/data-structures-algorithms-python (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:42.981243+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 2026-08-30T04:37:06.195217+00:00, confidence not recorded.
  - readme: https://github.com/codebasics/data-structures-algorithms-python (fetched 2026-08-28T04:04:42.981243+00:00, sha 29436a796f04)
- Data as of 2026-08-30T08:39:29.467469+00:00.