# anushka23g/Complete-Placement-Preparation

This repository consists of all the material required for cracking the coding rounds and technical interviews during placements.

Repository: https://github.com/anushka23g/Complete-Placement-Preparation
Canonical: https://ross.abutalabs.com/products/complete-placement-preparation
Language: Python
License Family: other
Topics: placements, placement, placement-preparation, placement-preparation-portal, faang, faang-interview, faang-preparation, amazon, aws, datastructures, algorithms-and-data-structures, data-structures, datastructures-algorithms, interview, algorithms, technical-interviews, dream-company, language, google, dsa-for-free
Last push: 2025-07-30T14:13:52+00:00

## Health v2 (maintenance only)
Score: 48/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 34, release rhythm 35, longevity 100
- inputs: {"age_days": 2077, "days_push": 399, "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 4064, forks 1109 (observed 2026-08-28T04:08:34.060970+00:00)

## What it is
A curated collection of data structures and algorithms questions with solutions, PDFs, and study material for preparing for coding rounds and technical interviews at tech companies. It serves as a complete roadmap for placement preparation, compiled from various sources.

## Use cases
- prepare for faang technical interviews
- crack coding rounds during campus placements
- find most asked DSA questions topicwise
- build a study roadmap for placement season
- practice data structures and algorithms problems with solutions
- get ready for amazon google interview loops

## When to choose
- you are a student preparing for campus placements or off-campus interviews
- you want a free, topic-wise organized set of DSA questions and solutions
- you need a structured roadmap covering DSA, OOP, OS, DBMS, and networks for interviews

## When to avoid
- you need an interactive coding platform with automated judge feedback
- you want professionally maintained, versioned course content with a license
- you are looking for system design or behavioral interview material specifically

## Facets
- artifact type: learning-resource
- maturity: active
- function: developer-tools
- domain: education, tutorials
- platform: cross-platform
- tags: interview-preparation, data-structures, algorithms, faang, placements, coding-interview, dsa, study-guide

## Member repositories
- anushka23g/Complete-Placement-Preparation (main) score 48

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:34.060970+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 2026-08-29T18:23:33.921348+00:00, confidence not recorded.
  - readme: https://github.com/anushka23g/Complete-Placement-Preparation (fetched 2026-08-28T04:08:34.060970+00:00, sha ae79f0d0a5f4)
- Data as of 2026-08-30T08:39:29.467469+00:00.