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What is this?
A large curated repository of resources for preparing for FAANG-style technical interviews: Data Structures and Algorithms sheets (450 DSA by Love Babbar, Striver's SheetS, Apna College), FAANG interview questions, core CS subjects, and system design material.
A large curated repository of resources for preparing for FAANG-style technical interviews: Data Structures and Algorithms sheets (450 DSA by Love Babbar, Striver's SheetS, Apna College), FAANG interview questions, core CS subjects, and system design material.Is this a single list or a collection of multiple study sheets and subjects?It's an index of multiple curated lists and subject folders combined into one repo: several DSA sheets, interview question banks, and separate folders for OS, DBMS, SQL, Computer Networks, and OOP.
It's an index of multiple curated lists and subject folders combined into one repo: several DSA sheets, interview question banks, and separate folders for OS, DBMS, SQL, Computer Networks, and OOP.How is the content organized and where should I start?Content is organized by topic: DSA sheets (450 DSA, Striver's, Apna College), FAANG questions, core CS subjects, and System Design (LLD/HLD) materials, each in its own section/folder you browse directly on GitHub.
Content is organized by topic: DSA sheets (450 DSA, Striver's, Apna College), FAANG questions, core CS subjects, and System Design (LLD/HLD) materials, each in its own section/folder you browse directly on GitHub.Do I need any tools to use this?No, it's a reading/reference repository of notes and problem lists; you just browse the files, no installation or software required.
No, it's a reading/reference repository of notes and problem lists; you just browse the files, no installation or software required.Is this a single consistent author's notes or a mix of sources?It aggregates multiple well-known external sheets (Love Babbar's, Striver's, Apna College's) rather than being one original curriculum, so depth and style vary across sections.
It aggregates multiple well-known external sheets (Love Babbar's, Striver's, Apna College's) rather than being one original curriculum, so depth and style vary across sections.Does it cover interview questions beyond coding, like aptitude or HR rounds?Yes, the repo's topics list includes aptitude alongside DSA and technical subjects, suggesting broader interview prep beyond just coding problems.
Yes, the repo's topics list includes aptitude alongside DSA and technical subjects, suggesting broader interview prep beyond just coding problems.Is this actively maintained or community-driven?It carries a hacktoberfest topic tag and has a CodeQL analysis workflow, indicating it accepts community contributions and gets ongoing maintenance.
It carries a hacktoberfest topic tag and has a CodeQL analysis workflow, indicating it accepts community contributions and gets ongoing maintenance.What programming languages are the solutions in?The repo's topics mention both Java and Python alongside C++, implying solutions and examples span multiple languages rather than one.
The repo's topics mention both Java and Python alongside C++, implying solutions and examples span multiple languages rather than one.What are similar projects?SDE-Interview-and-Prep-Roadmap, hello-algorithm, tech-interview-handbook, CS-Notes, leetcode-company-wise-problems-2022, LeetcodeTop, interviews, awesome-leetcode-resources
SDE-Interview-and-Prep-Roadmap, hello-algorithm, tech-interview-handbook, CS-Notes, leetcode-company-wise-problems-2022, LeetcodeTop, interviews, awesome-leetcode-resourcesWhich topics is it in?dsa, learn, leetcode-solutions, readme, interview-prep, leetcode, jupyter-notebook, system-design, operating-system, interview-questions, data-structures, algorithms
dsa, learn, leetcode-solutions, readme, interview-prep, leetcode, jupyter-notebook, system-design, operating-system, interview-questions, data-structures, algorithms