akashsingh3031/the-complete-faang-preparation

Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet,...

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Summary Information

Updated 5 minutes ago
Added to GitGenius on September 5th, 2026
Created on May 29th, 2021
Open Issues & Pull Requests: 28 (+0)
GitHub issues: Enabled
Number of forks: 2,619
Total Stargazers: 12,194 (+0)
Total Subscribers: 162 (+0)

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Detailed Description

The Complete FAANG Preparation is a study resource collection that covers data structures, algorithms, technical computer science subjects, and interview questions for FAANG company preparation.

The repository addresses the challenge of finding consolidated, organized learning materials for technical interview preparation. It aggregates content across multiple well-known DSA curricula including the Love Babbar 450 DSA series, Striver DSA sheet, and Apna College DSA sheet, alongside solutions to interview problems. Beyond algorithms and data structures, it includes foundational computer science topics such as operating systems, database management systems, SQL, computer networks, and object-oriented programming. The material is organized in Jupyter Notebooks and covers implementations in multiple programming languages including C++, Java, and Python.

This resource suits candidates preparing for FAANG technical interviews who want a single repository combining algorithm practice, conceptual foundations, and curated problem sets. It works best for those following established DSA learning paths who want supplementary materials and solutions in one place. The collection draws from recognized preparation frameworks rather than creating original curriculum, making it valuable as a reference and practice hub rather than a primary learning source.

The project maintains an active collaborative structure with contributions organized around multiple DSA frameworks and technical subjects. The repository includes solutions to problems from popular platforms and integrates content from several established preparation methodologies. Development activity centers on expanding coverage across the named technical domains and maintaining solutions across different programming languages.