# yakimka/python_interview_questions

Вопросы для подготовки к интервью на позицию Python Developer

Repository: https://github.com/yakimka/python_interview_questions
Canonical: https://ross.abutalabs.com/products/python_interview_questions
Language: CSS
License: MIT
License Family: permissive
Topics: interview, python, questions, answers, questions-and-answers
Last push: 2026-06-18T20:30:24+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 88, release rhythm 8, longevity 100
- inputs: {"age_days": 1986, "days_push": 76, "days_rel": 676, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2627, forks 487 (observed 2026-08-28T04:07:05.388497+00:00)

## What it is
A curated collection of Python developer interview questions with community-contributed answers, maintained as a Markdown document and published as ebook releases. It covers core Python topics like sequences, sets, mappings, and databases.

## Use cases
- prepare for a python developer interview
- review python fundamentals before an interview
- find common python interview questions with answers
- study python concepts like lists vs tuples and hashing
- prepare questions as an interviewer

## When to choose
- you want a free, community-maintained question bank for Python interviews
- you prefer reading as an ebook via releases
- you want both interviewer and interviewee perspectives

## When to avoid
- you need authoritative, rigorously reviewed answers - the author warns some answers may be inaccurate
- you need structured courses or practice coding challenges rather than Q&A lists

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: education, programming-languages, tutorials
- platform: cross-platform
- tags: interview-preparation, python-interview, questions-and-answers, ebook, career

## Member repositories
- yakimka/python_interview_questions (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:05.388497+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 2026-08-30T02:19:45.684174+00:00, confidence not recorded.
  - readme: https://github.com/yakimka/python_interview_questions (fetched 2026-08-28T04:07:05.388497+00:00, sha a396690866a7)
- Data as of 2026-08-30T08:39:29.467469+00:00.