# chaharnishant11/PlacementPrepGuide

Includes all the resources for Core CS fundamentals

Repository: https://github.com/chaharnishant11/PlacementPrepGuide
Canonical: https://ross.abutalabs.com/products/placementprepguide
License Family: other
Last push: 2021-04-03T01:58:53+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": 1989, "days_push": 1979, "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 1578, forks 717 (observed 2026-08-28T04:05:06.256223+00:00)

## What it is
A curated collection of links and resources for learning Core CS fundamentals, covering C++, Java, Python, JavaScript, and Data Structures & Algorithms. It is aimed at students preparing for placement and technical interviews rather than being a software tool.

## Use cases
- find resources to learn data structures and algorithms
- prepare for campus placement coding interviews
- pick a language to start with among c++ java python javascript
- study core computer science fundamentals for interviews
- find beginner-friendly programming learning materials

## When to choose
- you want a single starting point of curated links for CS fundamentals and DSA
- you are a student preparing for placement or technical interviews
- you prefer free external resources over structured courses

## When to avoid
- you need runnable code, exercises, or an interactive learning platform
- you want actively maintained or up-to-date content
- you need structured curricula with assessments rather than link lists

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: documentation, developer-tools
- domain: education, programming-languages, tutorials
- platform: cross-platform
- tags: curated-list, interview-preparation, data-structures-and-algorithms, computer-science-fundamentals, placement-preparation, awesome-list, algorithms

## Member repositories
- chaharnishant11/PlacementPrepGuide (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:06.256223+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 2026-08-30T03:56:54.939827+00:00, confidence not recorded.
  - readme: https://github.com/chaharnishant11/PlacementPrepGuide (fetched 2026-08-28T04:05:06.256223+00:00, sha 06d84641421e)
- Data as of 2026-08-30T08:39:29.467469+00:00.