# darshanime/notes

detailed notes on computer science topics, in one page

Repository: https://github.com/darshanime/notes
Canonical: https://ross.abutalabs.com/products/darshanime-notes
License: MIT
License Family: permissive
Topics: interview, notes, computer-science, interview-preparation, python, operating-systems
Last push: 2022-06-11T08:45:05+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": 3376, "days_push": 1544, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2187, forks 336 (observed 2026-08-28T04:06:23.806653+00:00)

## What it is
A single repository of the author's consolidated study notes on dozens of computer science topics, written as one-page org-mode documents. It spans operating systems, algorithms, databases, programming languages, ML, and cloud tooling, aimed at learning and interview preparation.

## Use cases
- prepare for software engineering interviews
- get a quick refresher on operating systems concepts
- review algorithms and data structures before an interview
- learn kubernetes basics from condensed notes
- study a one-page overview of golang or python
- brush up on machine learning and AI fundamentals
- find consolidated cs study notes in one place

## When to choose
- you want breadth-first, condensed notes on many CS topics without wading through textbooks
- you are cramming for technical interviews and need quick single-page reviews
- you prefer plain-text org-mode/markdown-style notes you can read or grep locally

## When to avoid
- you need deep, authoritative, textbook-level treatment of a single subject
- you need interactive exercises, quizzes, or a structured course
- you need up-to-date coverage of fast-moving tools, since the last release was mid-2022 and some notes are admittedly disorganized

## Facets
- artifact type: learning-resource
- maturity: stable
- function: documentation
- domain: tutorials, education, developer-tools
- platform: -
- tags: computer-science, notes, interview-preparation, org-mode, cheat-sheets, operating-systems, algorithms, data-structures, databases, python, golang, machine-learning, kubernetes, cloud-computing, compilers

## Member repositories
- darshanime/notes (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:23.806653+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 2026-08-30T02:47:52.753824+00:00, confidence not recorded.
  - readme: https://github.com/darshanime/notes (fetched 2026-08-28T04:06:23.806653+00:00, sha c76c8c220f4a)
- Data as of 2026-08-30T08:39:29.467469+00:00.