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https://github.com/selcia25/programming-in-data-structures
Welcome to the "Programming in Data Structures" repository! This repository contains Python code examples and implementations of various data structures and algorithms to help you learn and practice programming concepts related to data structures.
https://github.com/selcia25/programming-in-data-structures
algorithms code data-structures
Last synced: 2 days ago
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Welcome to the "Programming in Data Structures" repository! This repository contains Python code examples and implementations of various data structures and algorithms to help you learn and practice programming concepts related to data structures.
- Host: GitHub
- URL: https://github.com/selcia25/programming-in-data-structures
- Owner: selcia25
- Created: 2023-10-08T13:49:36.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-10-16T18:14:14.000Z (about 1 year ago)
- Last Synced: 2024-11-08T22:45:14.977Z (about 2 months ago)
- Topics: algorithms, code, data-structures
- Language: Python
- Homepage:
- Size: 9.77 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Programming in Data Structures
Welcome to the "Programming in Data Structures" repository! This repository contains Python code examples and implementations of various data structures and algorithms to help you learn and practice programming concepts related to data structures. Whether you're a beginner or an experienced programmer, this repository aims to provide you with valuable resources for understanding and implementing these fundamental topics.
## Table of Contents
1. [Introduction](#introduction)
2. [Data Structures and Algorithms](#data-structures-and-algorithms)
3. [Getting Started](#getting-started)
4. [Contributing](#contributing)
5. [License](#license)
## Introduction
Understanding data structures and algorithms is essential for solving complex problems efficiently in programming. This repository covers a range of data structures and algorithms in Python, including sorting algorithms, searching algorithms, and various data structures like linked lists, binary search trees, and more.
## Data Structures and Algorithms
Here's a list of the data structures and algorithms included in this repository:
- `adjacency_matrix.py`: Implementation of an adjacency matrix for representing graphs.
- `binary_search.py`: A Python implementation of the binary search algorithm.
- `binary_search_tree.py`: Implementation of a binary search tree (BST).
- `bubble_sort.py`: Implementation of the bubble sort algorithm.
- `circularly_linked_list.py`: Implementation of a circularly linked list.
- `find_max.py`: Function to find the maximum element in an array.
- `insertion_sort.py`: Implementation of the insertion sort algorithm.
- `linear_search.py`: A Python implementation of the linear search algorithm.
- `merge_sort.py`: Implementation of the merge sort algorithm.
- `quick_sort.py`: Implementation of the quick sort algorithm.
- `selection_sort.py`: Implementation of the selection sort algorithm.
## Getting Started
To start using the code examples and implementations in this repository, follow these steps:
1. Clone this repository to your local machine : git clone https://github.com/selcia25/programming-in-data-structures.git
2. Navigate to the directory containing the data structure or algorithm of interest: cd programming-in-data-structures
3. To run the example code, use a Python interpreter: python example.py
## Contributing
Contributions to this repository are welcome! If you'd like to contribute:
1. Fork this repository to your GitHub account.
2. Clone your fork to your local machine: git clone https://github.com/selcia25/programming-in-data-structures.git
3. Create a new branch for your changes: git checkout -b feature/new-feature
4. Make your changes, add documentation if necessary, and commit them:
git add .
git commit -m "Add new feature or fix issue"
5. Push your changes to your fork on GitHub:
git push origin feature/new-feature
6. Create a Pull Request (PR) from your fork on GitHub to the main repository.
Please ensure that your code follows the coding style and conventions used in this repository. Provide a clear description of the changes in your PR.
## License
This repository is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
Happy programming with data structures!