Welcome to the GitHub repository for the "Data Structures using C++ Lab Program" designed for BCA (Bachelor of Computer Applications) students in their third semester at MG University. This repository is a comprehensive collection of lab programs and resources that cover various data structures concepts implemented in C++.

Data structures are fundamental building blocks in computer science that help organize and store data efficiently. This repository aims to provide BCA students with hands-on experience in implementing various data structures using the C++ programming language. The lab programs are designed to reinforce theoretical knowledge and develop practical programming skills to solve real-world problems.

Lab Programs: The repository contains a series of lab programs covering essential data structures such as arrays, linked lists, stacks, queues, trees, graphs, and more. Each lab program is well-documented, providing clear instructions and explanations of the underlying data structure concepts.

C++ Implementation: All lab programs are implemented using the C++ programming language, which is widely used in software development and provides a powerful and efficient environment for data structure implementation.

Code Quality: The programs adhere to best coding practices, including proper indentation, comments, and variable naming conventions, making the code readable and understandable for learners.

Testing: Where applicable, the lab programs include test cases to verify the correctness and robustness of the data structure implementations.

Contributions: Students and developers are encouraged to contribute to the repository by adding additional lab programs, improving existing code, fixing bugs, or enhancing documentation. Contributions will be reviewed and merged to foster a collaborative learning environment.

To use the repository, simply clone or download the code to your local machine. Follow the instructions provided in each lab program to understand the problem statement and expected output. Implement the data structures in C++ as directed and run the programs to verify the correctness of your code. Experiment with different test cases to gain a deeper understanding of the data structures and their behaviors.

💻 Lab Programs Overview Arrays

Implementing basic operations on arrays such as insertion, deletion, searching, and sorting. Linked Lists

Implementing singly linked lists and performing operations like insertion, deletion, and traversal. Stacks

Creating and utilizing stacks to implement stack operations like push, pop, and checking for empty/full stack. Queues

Implementing queue data structure with various operations like enqueue, dequeue, and checking queue status. Trees

Implementing binary trees and performing tree traversal algorithms like inorder, preorder, and postorder. Graphs

Implementing graph data structure and exploring traversal algorithms like depth-first search (DFS) and breadth-first search (BFS). Hashing

Implementing hash table using hash functions for efficient data retrieval and storage. Sorting Algorithms

Implementing various sorting algorithms like bubble sort, selection sort, insertion sort, merge sort, and quicksort. Searching Algorithms

Implementing different searching algorithms like linear search, binary search, and hash-based search. Advanced Data Structures

Exploring advanced data structures like AVL trees, red-black trees, and heap data structures. :rocket: Getting Started To get started, simply clone or download this repository to your local machine and dive into the directories corresponding to each lab program. Each directory contains a well-documented C++ program along with clear instructions to understand the problem statement and expected output.

Feel free to experiment with different test cases to gain a deeper understanding of the data structures and their behaviors. Remember, practice makes perfect, and mastering data structures will greatly enhance your programming skills.

🤝 Contributing We welcome contributions from students and developers! If you have any additional lab programs, improvements to existing code, bug fixes, or enhanced documentation, feel free to contribute. Please follow the contributing guidelines mentioned in the CONTRIBUTING.md file.

📄 License This repository is licensed under the MIT License. You are free to use, modify, and distribute the code for educational purposes following the license terms.

🙏 Acknowledgments Special thanks to all the contributors and resources that have helped in developing this repository and making it a valuable resource for BCA students.

📚 References Curious minds seek knowledge! Check out external resources, textbooks, or online tutorials that inspired our lab programs and explanations.

Let's unlock the power of data structures with C++! Happy coding! 🎉

If you would like to contribute to the repository, fork it and make your changes in a new branch. Ensure your code follows the existing coding standards and includes proper documentation. Once your changes are ready, submit a pull request, and your contributions will be reviewed by the maintainers.

This repository is intended for educational purposes and is not affiliated with MG University or any official institution. The lab programs and resources provided here are based on common data structures concepts, but specific requirements may vary depending on your course or instructor.

We hope this repository will be a valuable resource in your journey to understanding and mastering data structures using C++. Happy coding!

In this section, you'll find a collection of additional resources, such as books, websites, and online courses, to further enhance your C programming skills.

We welcome contributions from the community! If you find any issues or have suggestions for improvement, please feel free to open an issue or submit a pull request.

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Go here if you aren't here already and click ➞ ✰ Star and ⵖ Fork button in the top right corner. You'll be asked to create a GitHub account if you don't already have one.

This project is licensed. Feel free to use, modify, and distribute the code, but do remember to include the original license file.

Happy coding! 🚀