The Complete FAANG Preparation
A large collection of DSA and FAANG interview practice material, including solution sets and CS subject notes.
- Stars
- 12.3k
- Forks
- 2.6k
- Licence
- MIT
- Language
- Jupyter Notebook
- Last update
- 25 days ago
- Type
- Learning resource
What it is
This is a GitHub repository of interview preparation material for software engineering roles. Per its description, it covers data structures, algorithms, and several well-known practice sheets (450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet), plus technical subjects such as operating systems, DBMS, SQL, computer networks, and object-oriented programming. The README shown is mostly profile badges and social links, so the exact contents of each section could not be verified from the text provided.
- Work through DSA problem lists in a structured order
- Review SQL and DBMS topics before an interview
- Compare your solutions against the solution code in the repository
Great for
- Students preparing for technical software engineering interviews
- Developers who want structured DSA practice problems
- People reviewing core CS subjects like DBMS, SQL, or networking before interviews
Not ideal for
- Anyone wanting a complete course with lessons, since the README excerpt does not show tutorial content
- Beginners with no programming background, who will need to learn a language first
- Users who need a maintained, versioned software library (there is no release)
How to get it
- 1
Clone and build from source
Clone the repository
git clone https://github.com/AkashSingh3031/The-Complete-FAANG-Preparation - 2
Run it
- Clone the repository to your machine
- Open the README to see the table of contents
- Pick one topic or sheet and start with the first problem or section
- 3
Get the most out of it
- Follow one sheet at a time rather than jumping between them
- Track which topics you have covered alongside the README links
- Use the Jupyter Notebook files if you want to run code interactively
Downloads
Strengths
- Covers a broad range of interview topics in one place
- Based on well-known, widely used practice sheets
- Free and licensed under MIT
Trade-offs
- The README excerpt is largely badges and links, so content depth is hard to verify
- No formal releases; the repository is a collection rather than a tool
- Mixed-language content (Jupyter Notebook, C++, Python) may need adjusting to your preferred language
How it compares
| Project | Stars | Type | Level | Updated | Best for |
|---|---|---|---|---|---|
| The-Complete-FAANG-Preparation (this) | 12.3k | Learning resource | beginner | 25 days ago | Students preparing for technical software engineering interviews |
| C-Plus-Plus | 34.8k | Learning resource | intermediate | 1 months ago | Students learning algorithms and data structures in C++ |
| LeetCode-Go | 33.8k | Learning resource | beginner | 25 days ago | Developers practicing LeetCode problems in Go |
| javascript-algorithms | 197k | Learning resource | beginner | 3 months ago | Students learning core computer science concepts in JavaScript |
| tech-interview-handbook | 143k | Learning resource | beginner | 3 months ago | Engineers preparing for technical interviews who have limited study time |
| Java | 66.7k | Learning resource | beginner | 4 days ago | Students learning algorithms and data structures in Java |
Stats synced from GitHub. The assessment above was drafted with AI from the project's README on 2026-10-29 and may miss recent changes — check the README before relying on a command. MIT licence: free to use, modify and distribute, including commercially, as long as you keep the copyright notice.