IMPLEMENT ALL DATA STRUCTURES AND ALGORITHMS IN PYTHON
This repository contains a comprehensive collection of data structures and algorithms implemented in Python. Each implementation is well-curated and documented to serve as a helpful resource for developers, students, and anyone preparing for coding interviews
Table of Contents:
-> Overview
-> Implemented Data Structures
-> Implemented Algorithms
-> Getting Started
-> Usage
-> Contributing
-> License
-> Contact
Overview:
This repository provides clean and well-documented Python implementations of essential data structures and algorithms. Each implementation is carefully curated, optimized, and includes comments to help you understand the inner workings. This collection is ideal for students, developers, and anyone preparing for coding interviews.
Implemented Data Structures ::
The following data structures are implemented in this repository:
-> Arrays
-> Linked Lists (Singly, Doubly, and Circular)
-> Stacks
-> Queues
-> Hash Tables
-> Trees (Binary Tree, Binary Search Tree, AVL Tree, etc.)
-> Heaps (Min-Heap, Max-Heap)
-> Graphs (Adjacency List, Adjacency Matrix, Graph Traversals)
-> Tries
Implemented Algorithms ::
The repository also contains implementations of various algorithms, including but not limited to:
-
Sorting Algorithms:
-> Bubble Sort
-> Insertion Sort
-> Selection Sort
-> Merge Sort
-> Quick Sort
-> Heap Sort
-> Counting Sort
-
Searching Algorithms:
-> Linear Search
-> Binary Search
-> Depth-First Search (DFS)
-> Breadth-First Search (BFS)
-
Dynamic Programming:
-> Longest Common Subsequence (LCS)
-> Knapsack Problem
-> Fibonacci Series
-> Coin Change Problem
-
Graph Algorithms:
-> Dijkstra's Algorithm
-> Floyd-Warshall Algorithm
-> Prim's and Kruskal's Algorithms
Getting Started:
To get a local copy up and running, follow these simple steps:
Prerequisites:
Ensure you have Python installed on your machine. You can download it from python.org.
Installation:
-
Clone the repository: https://github.com/Kaifansar1/Implement-all-Data-Structures-and-algorithms-in-python
-
Navigate to the project directory: cd Implement-all-Data-Structures-and-algorithms-in-python
-
(Optional) Create and activate a virtual environment: python -m venv venv source venv/bin/activate # On Windows, use
venv\Scripts\activate -
Install any dependencies (if applicable): pip install -r requirements.txt
Usage:
Each data structure and algorithm is contained within its own file/folder and can be executed independently. You can run any Python file to see the implementation in action.
For example:
python sorting/quick_sort.py
Each file contains sample input data and demonstrates how the implementation works. Feel free to modify the input and experiment!
Contributing:
Contributions are welcome! If you would like to improve or add new data structures or algorithms,
please follow these steps:
-> Fork the repository.
-> Create a new branch
(git checkout -b feature/YourFeature).
-> Commit your changes
(git commit -m 'Add your feature').
-> Push to the branch
(git push origin feature/YourFeature).
-> Open a Pull Request.
License:
This project is licensed under the MIT License - see the LICENSE file for details.
Contact:
If you have any questions, suggestions, or feedback, feel free to reach out via email at [email protected].
Happy Coding!