Welcome to the DSA Code Repository! This is a comprehensive collection of Data Structures and Algorithms implementations in multiple programming languages, organized specifically for Hacktoberfest 2025 contributions.
This repository serves as:
- Learning Resource: A well-organized collection of algorithms and data structures
- First Contribution Hub: Perfect for newcomers to open source
- Reference Library: Quick access to implementations in multiple languages
- Practice Platform: Solve problems and contribute solutions
🗣 Hacktoberfest encourages participation in the open-source community, which grows bigger every year. Complete the challenge and get a tree planted on your name showing your love towards mother Earth 🌍
📢 Register here for Hacktoberfest and make six pull requests (PRs) between October 1st-31st for exclusive T-shirt + Tree contribution! 🔥🌱
🌟 Make Sure to Star the repository - We need 100 Stars to make it a 'worthy repository' ⭐⭐⭐
📖 Read our complete Hacktoberfest 2025 guide on dev.to - Step-by-step instructions, tips, and everything you need to get started!
🛠️ Co-Admin & Maintainer
Feel free to reach out for any questions, contributions, or support!
Our repository follows a clear Language → Topic → Implementation structure:
DSA_Code/
├── C/ # C Language Implementations
│ ├── algorithms/ # Algorithm implementations
│ ├── data_structures/ # Data structure implementations
│ └── dynamic_programming/ # DP solutions
├── CPP/ # C++ Language Implementations
│ ├── algorithms/ # Algorithm implementations
│ ├── data_structures/ # Data structure implementations
│ ├── dynamic_programming/ # DP solutions
│ └── object_oriented_programming/ # OOP concepts
├── Java/ # Java Language Implementations
│ ├── algorithms/ # Algorithm implementations
│ ├── data_structures/ # Data structure implementations
│ └── dynamic_programming/ # DP solutions
└── Python/ # Python Language Implementations
├── algorithms/ # Algorithm implementations
├── data_structures/ # Data structure implementations
├── dynamic_programming/ # DP solutions
└── projects/ # Complete projects
| Language | Folder | Focus Areas |
|---|---|---|
| C | /C/ |
Core algorithms, data structures, system programming |
| C++ | /CPP/ |
Advanced algorithms, STL, OOP concepts |
| Java | /Java/ |
Object-oriented implementations, enterprise patterns |
| Python | /Python/ |
Clean implementations, data science algorithms |
We welcome contributions in ANY programming language! 🚀
If you want to contribute in a language that's not listed above, you can add it by following our structure:
-
Create Language Folder: Create a new folder with your language name (e.g.,
JavaScript/,Go/,Rust/,Kotlin/) -
Follow Our Structure: Use the same directory organization:
YourLanguage/ ├── algorithms/ │ ├── searching/ │ ├── sorting/ │ ├── graph_algorithms/ │ └── arrays/ ├── data_structures/ │ ├── trees/ │ ├── stacks/ │ └── queues/ ├── dynamic_programming/ └── projects/ # Optional: Complete projects -
Add README: Create a
README.mdin your language folder explaining:- Language-specific setup instructions
- Naming conventions for that language
- How to run/test the code
- Any special dependencies
-
Start Contributing: Add your algorithms following the same quality standards!
- JavaScript/TypeScript - Web development algorithms
- Go - Systems programming, concurrent algorithms
- Rust - Memory-safe implementations
- Kotlin - Android/JVM algorithms
- Swift - iOS development algorithms
- PHP - Web backend algorithms
- Ruby - Dynamic language implementations
- C# - .NET framework algorithms
- Dart - Flutter development algorithms
- Scala - Functional programming approach
Your language contribution will help developers worldwide! 🌟
- 🔍 Algorithms: Searching, Sorting, Graph Algorithms, String Processing, Mathematical
- 🏗️ Data Structures: Arrays, Linked Lists, Trees, Graphs, Heaps, Tries
- 💡 Dynamic Programming: Classic DP problems, Optimization techniques
-
Fork & Clone
git clone https://github.com/YOUR_USERNAME/DSA_Code.git cd DSA_Code -
Choose Directory
cd CPP/algorithms/sorting/ # For C++ sorting algorithms cd Java/data_structures/ # For Java data structures cd Python/dynamic_programming/ # For Python DP solutions
-
Add Implementation
- Use proper naming:
binary_search.cpp,merge_sort.py - Include clear documentation
- Add test cases
- Use proper naming:
-
Submit PR
git add . git commit -m "Add [algorithm_name] implementation in [language]" git push origin your-branch
- ✅
binary_search.cpp,merge_sort.py,dijkstra_algorithm.java - ❌
BinarySearch.cpp,mergesort.py
- Clean Code: Readable, well-commented
- Documentation: Add algorithm explanation and complexity analysis
- Testing: Include test cases and examples
- Error Handling: Proper input validation
C/C++:
C/ or CPP/
├── algorithms/searching/ → binary_search.c
├── algorithms/sorting/ → quick_sort.cpp
├── data_structures/trees/ → binary_tree.c
└── dynamic_programming/ → knapsack.cpp
Java:
Java/
├── algorithms/sorting/ → HeapSort.java
├── data_structures/trees/ → AVLTree.java
└── dynamic_programming/ → CoinChange.java
Python:
Python/
├── algorithms/searching/ → binary_search.py
├── data_structures/graphs/ → graph_adjacency_list.py
├── projects/games/ → tic_tac_toe.py
└── dynamic_programming/ → edit_distance.py
- New Algorithms: Implement missing algorithms in any language
- Data Structures: Add new data structure implementations
- New Languages: Add support for JavaScript, Go, Rust, Kotlin, Swift, etc.
- Documentation: Improve comments and examples
- Bug Fixes: Fix issues in existing implementations
- Projects: Complete applications using the algorithms
- Language-Specific READMEs: Setup guides for new languages
We prioritize quality contributions that provide real value to the community.
- Well-documented code with clear explanations and complexity analysis
- Original implementations - not copy-pasted from other repositories
- New algorithms/implementations - check existing files before contributing
- Proper testing with multiple test cases and edge cases
- Clean, readable code following language-specific best practices
- Meaningful commit messages that explain what and why
- ❌ Copy-pasted code from other repositories or websites
- ❌ Duplicate implementations - always check if it already exists first!
- ❌ Code without documentation, comments, or complexity analysis
- ❌ Low-effort PRs created just to increase PR count
- ❌ Spam, irrelevant changes, or placeholder files
- ❌ Code that doesn't compile, run, or has syntax errors
🔍 Step 1: Check for Duplicates
- Browse the language folder to see what already exists
- Search the repository for similar implementations
- If it exists, consider improving it instead of duplicating
- Automated Check: Our workflow will detect potential duplicates and notify you
✍️ Step 2: Ensure Quality
- Algorithm explanation included
- Time & space complexity documented
- Multiple test cases with edge cases
- Proper comments explaining logic (3+ for single file, 5+ for multiple files)
- Code follows language conventions
- No compilation/runtime errors
- Automated Check: Our quality workflow will review your code and provide helpful feedback
🎯 Step 3: Add Unique Value
- Implement algorithms NOT yet in the repository
- Add new language support
- Improve existing implementations with better approaches
- Add advanced variations of existing algorithms
- Contribute complete projects using multiple algorithms
We use automated workflows to maintain high quality and help contributors improve:
-
Duplicate Detection
- Scans for similar file names and implementations
- Notifies you if potential duplicates are found
- Helps avoid redundant contributions
-
Code Quality Validation
- ✅ Algorithm description and complexity analysis (Required)
- ✅ Meaningful comments and documentation (Recommended)
- ✅ Test cases and examples (Recommended)
- ✅ File structure and naming conventions
-
Compilation & Testing
- Automatically compiles C/C++/Java code
- Syntax checks for Python/JavaScript
- Identifies compilation errors with helpful explanations
-
Helpful Error Reporting
- Clear explanations when checks fail
- Step-by-step fix instructions
- Example templates and best practices
All automated comments are smart and non-spammy:
- Updates existing comments instead of creating duplicates
- Shows current status of your PR
- Provides actionable feedback for improvements
- Helpful, not critical - designed to educate!
Contributing just one file? You get more lenient checks:
- Only 3 comments required (vs 5 for multiple files)
- Minimum 15 lines (vs 20 for multiple files)
- Focus on critical requirements only
- Perfect for beginners!
See our Contributing Guidelines for complete details!
- Make 6+ quality pull requests for Hacktoberfest Super Contributor status (T-shirt + Tree!)
- Quality over quantity - one great PR beats ten mediocre ones
- Add new, unique implementations - avoid duplicating existing code
- Help others by reviewing PRs and suggesting improvements
- Ensure proper documentation and testing
- Check existing files first to avoid duplicate work
See all our amazing contributors, their achievements, and how you can join them!
🎯 99+ Contributors • 🔥 200+ Commits • 💻 5+ Languages • 🎃 Hacktoberfest Ready
This repository wouldn't be possible without the incredible contributions from our amazing community of developers. Every line of code, every algorithm implementation, every bug fix, and every documentation improvement has made this project a valuable resource for developers worldwide.
Click on the image above to see all our amazing contributors! ✨
Made with contrib.rocks ❤️
"To every single contributor - from 1 commit to 130+ commits - THANK YOU! 🙏"
Your contributions have made this repository a valuable resource for developers worldwide. Whether you fixed a bug, added a new algorithm, improved documentation, or helped a fellow contributor, you've made a difference in the open-source community.
Together, we've built something amazing! 🚀
Whether you're making your first open source contribution or you're an experienced developer, we're excited to have you contribute to this repository. Let's make Hacktoberfest 2025 amazing together!
⭐ Star this repository if you find it helpful! 🔗 Share with friends interested in algorithms and open source!
#Hacktoberfest2025 #OpenSource #Algorithms #DataStructures #Programming