https://github.com/saqibbedar/cpp-algorithms-datastructures
Structured Data Structures & Algorithms (DSA) in C++: topic-wise implementations, labs, assignments, revision notes, and interview practice.
https://github.com/saqibbedar/cpp-algorithms-datastructures
algorithms c-plus-plus coding-interview coding-practice competitive-programming cp cpp data-structures dsa interview-preparation linked-list priority-queue problem-solving queue recursion searching sorting stack stl tree
Last synced: 10 days ago
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Structured Data Structures & Algorithms (DSA) in C++: topic-wise implementations, labs, assignments, revision notes, and interview practice.
- Host: GitHub
- URL: https://github.com/saqibbedar/cpp-algorithms-datastructures
- Owner: saqibbedar
- License: mit
- Created: 2024-09-27T04:14:55.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2026-04-29T17:44:04.000Z (about 1 month ago)
- Last Synced: 2026-04-29T19:30:06.299Z (about 1 month ago)
- Topics: algorithms, c-plus-plus, coding-interview, coding-practice, competitive-programming, cp, cpp, data-structures, dsa, interview-preparation, linked-list, priority-queue, problem-solving, queue, recursion, searching, sorting, stack, stl, tree
- Language: C++
- Homepage:
- Size: 5.04 MB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Funding: FUNDING.yaml
- License: LICENSE
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README
# cpp-algorithms-datastructures
Structured **Data Structures & Algorithms (DSA) in C++**: topic-wise implementations, labs, assignments, revision notes, and interview practice.
> This repository is organized “folder-first” so you can study one topic at a time, run code locally, and build strong fundamentals for problem solving and coding interviews.
---
## What’s inside (high level)
- **Topic-wise DSA implementations (C++)**
Path: `Data Structures & Algorithms/`
- **Assignments** (coursework-style practice)
Path: `Assignments/`
- **DSA Friday Lab** (lab-style practice to build consistency)
Path: `DSA Friday Lab/`
- **Quick C++ Revision** (C++ concepts used frequently in DSA)
Path: `Quick C++ Revision/`
- **Past Papers** (exam-style / revision material)
Path: `Past Papers/`
- **Docker guide** (notes for a consistent environment)
Path: `docker-guide/`
- **Notes/structure helpers** (`NOTES.yaml` and other YAML files)
These help document folders and keep the repo navigable.
---
## Recommended way to use this repo
1. Start from the main folder:
`Data Structures & Algorithms/`
2. Pick **one** topic folder (example: `LinkedList`, `Stack`, `Queue`, `Sorting Algorithms`).
3. Read the code, trace the logic, and run it locally.
4. Modify it:
- add edge cases
- add missing operations
- refactor for clarity
5. Move to the next topic.
Tip: progress becomes much faster when you go **topic-by-topic** instead of jumping randomly.
---
## Quick links
- Main content:
https://github.com/saqibbedar/dsa/tree/main/Data%20Structures%20%26%20Algorithms
- Assignments:
https://github.com/saqibbedar/dsa/tree/main/Assignments
- DSA Friday Lab:
https://github.com/saqibbedar/dsa/tree/main/DSA%20Friday%20Lab
- Quick C++ Revision:
https://github.com/saqibbedar/dsa/tree/main/Quick%20C%2B%2B%20Revision
---
## Topics (examples you’ll see in the repo)
Inside `Data Structures & Algorithms/` you’ll find topic folders such as:
- Linked List
- Stack
- Queue
- Priority Queue
- Trees / Binary Search Tree
- Sorting Algorithms
- Recursion
- Iterators
(Exact folders may vary—this repo is intended to grow over time.)
---
## Run code locally
Most code is designed to compile and run independently (file-by-file or folder-by-folder).
### Compile and run a single file
```bash
g++ -std=c++17 file.cpp -o app
./app
```
### Compile multiple files together (if a topic uses more than one `.cpp`)
```bash
g++ -std=c++17 main.cpp other.cpp -o app
./app
```
Notes:
- If you get missing include errors or symbol collisions, compile **one topic folder at a time**.
- Prefer a modern compiler (GCC/Clang) and at least **C++17**.
---
## Contribution
Contributions are welcome—especially improvements that keep the repo consistent and easy to learn from.
Suggested contributions:
- improve naming + comments
- add missing operations + edge cases
- add small driver examples (`main.cpp`) for topics
- fix bugs and simplify implementations
General flow:
1. Fork the repo
2. Create a branch
3. Make changes and test
4. Open a PR with a clear description
---
## License
MIT License — see [`LICENSE`](./LICENSE).