Analysis updated 2026-07-03
Find free YouTube playlists covering data structures and algorithms organized by topic to prepare for coding interview rounds
Study computer science fundamentals like operating systems, databases, and computer networks using linked video courses
Explore system design resources and book recommendations to prepare for architectural interview questions
Browse project ideas in web development or data science to build a portfolio before applying to placements
| riti2409/resources-for-preparation-of-placements | aws/copilot-cli | cloudflare/mcp-server-cloudflare | |
|---|---|---|---|
| Stars | 3,738 | 3,738 | 3,738 |
| Language | — | Go | TypeScript |
| Setup difficulty | easy | moderate | moderate |
| Complexity | 1/5 | 3/5 | 3/5 |
| Audience | developer | ops devops | ops devops |
Figures from each repo's GitHub metadata at analysis time.
This repository is a curated list of free YouTube video links and online resources for anyone preparing for software engineering job placements and technical interviews. It does not contain code or tutorials of its own, instead it points to existing playlists and courses made by well-known instructors. The collection is organized by topic and by programming language. For C, C++, Java, and Python there are links to beginner programming courses as well as data structures and algorithms playlists. The data structures covered include arrays, strings, binary search, dynamic programming, stacks, queues, heaps, sliding window techniques, recursion, backtracking, trees, graphs, linked lists, tries, segment trees, and hashing. Several of these topics have multiple playlist options from different instructors so you can pick the teaching style you prefer. Beyond algorithms, the repository also links to resources on computer science fundamentals that commonly come up in placement interviews: database management systems, operating systems, computer networks, object-oriented programming, theory of computation, and software engineering. There are also system design resources, covering both high-level architectural thinking and low-level design practice, with references to widely read books like System Design Interview by Alex Xu and Designing Data-Intensive Applications. At the end there are links to placement-focused series from popular educators, curated problem sheets for DSA and CS theory subjects, project ideas in web development, data science and machine learning, and a few GitHub repositories with coding interview patterns. The repository is open for community contributions. Anyone can add more links to extend the list.
A curated list of free YouTube playlists and online resources organized by topic to help software engineering students prepare for technical placement interviews and coding rounds.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.