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This Repo provides Data Structures and Algorithms (DSA) lab tasks, including implementations of sorting/searching algorithms, data structures (arrays , linked list, trees, graphs), dynamic programming and more. Perfect for hands-on DSA learning. contributions are welcome!

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Saad123ali/ALL-DSA-LAB-TASK

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ALL-DSA-LAB-TASK

This repository contains a comprehensive collection of Data Structures and Algorithms (DSA) lab tasks, designed to help learners and developers understand and implement fundamental DSA concepts. The repository is perfect for hands-on practice and improving problem-solving skills.

📁 Contents

  • Sorting & Searching Algorithms: Implementations of popular algorithms like Bubble Sort, Quick Sort, Merge Sort, Binary Search, and more.
  • Data Structures: Code examples for essential data structures, including Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, and Hash Tables.
  • Dynamic Programming: Classic problems solved using dynamic programming techniques.
  • Recursion & Backtracking: Solutions to problems using recursive approaches and backtracking algorithms.
  • Greedy Algorithms: Problem-solving examples using greedy methods.
  • Daily Quizzes with Solutions: Regularly updated quizzes with solutions to test and reinforce your understanding of DSA concepts.

🚀 Getting Started

To get started with the repository, follow these steps.
🤝 Contributing We welcome contributions from the community! If you have improvements or new lab tasks to share, please follow these steps:

  1. Clone the Repository:
    git clone https://github.com/Saad123ali/ALL-DSA-LAB-TASK.git
  2. Make new Branch:
    git checkout -b feature-branch-name
  3. Add commit with new feature:
    git commit -m "Add new feature or fix"
  4. Push the Repo to merge:
    git push origin feature-branch-name
    
    

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This Repo provides Data Structures and Algorithms (DSA) lab tasks, including implementations of sorting/searching algorithms, data structures (arrays , linked list, trees, graphs), dynamic programming and more. Perfect for hands-on DSA learning. contributions are welcome!

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