# jmportilla/Python-for-Algorithms--Data-Structures--and-Interviews

Files for Udemy Course on Algorithms and Data Structures

Repository: https://github.com/jmportilla/Python-for-Algorithms--Data-Structures--and-Interviews
Canonical: https://ross.abutalabs.com/products/python-for-algorithms-data-structures-and-interviews
Language: Jupyter Notebook
License Family: other
Last push: 2023-12-26T19:49:05+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4079, "days_push": 981, "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 2599, forks 2341 (observed 2026-08-28T04:07:03.292050+00:00)

## What it is
A collection of Jupyter Notebook files accompanying a Udemy course on algorithms, data structures, and technical interview preparation in Python. It serves as supplementary course material with examples and exercises for learners.

## Use cases
- prepare for python technical interviews
- learn data structures in python
- study algorithms with jupyter notebooks
- practice coding interview questions
- find course material for python algorithms udemy course

## When to choose
- you are enrolled in or considering the associated Udemy course
- you want notebook-based study material for python interview prep
- you prefer learning algorithms and data structures through runnable examples

## When to avoid
- you need a production software library or tool
- you want a standalone curriculum without the paid video course
- you need actively maintained or licensed educational content

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: education, programming-languages, tutorials
- platform: python, cross-platform
- tags: interview-preparation, data-structures, jupyter-notebooks, udemy-course, technical-interviews, algorithms

## Member repositories
- jmportilla/Python-for-Algorithms--Data-Structures--and-Interviews (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:03.292050+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 2026-08-30T02:21:17.696202+00:00, confidence not recorded.
  - readme: https://github.com/jmportilla/Python-for-Algorithms--Data-Structures--and-Interviews (fetched 2026-08-28T04:07:03.292050+00:00, sha 574c1885c62a)
- Data as of 2026-08-30T08:39:29.467469+00:00.