https://github.com/khachuyvk/python-dsa
Master data structures and algorithms in Python with this 6-week roadmap. Join our public study log and enhance your coding skills! 🚀🐍
https://github.com/khachuyvk/python-dsa
cpp cryptography data-structures data-structures-algorithms data-structures-python dsa dsa-practice first-pull-request github hacktoberfest hacktoberfest-2022 hacktoberfest-accepted2022 hacktoberfest-starter java leetcode-solutions open-source pythn python
Last synced: 3 months ago
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Master data structures and algorithms in Python with this 6-week roadmap. Join our public study log and enhance your coding skills! 🚀🐍
- Host: GitHub
- URL: https://github.com/khachuyvk/python-dsa
- Owner: khachuyvk
- Created: 2025-07-02T03:41:21.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-07-02T05:50:19.000Z (3 months ago)
- Last Synced: 2025-07-02T06:37:46.068Z (3 months ago)
- Topics: cpp, cryptography, data-structures, data-structures-algorithms, data-structures-python, dsa, dsa-practice, first-pull-request, github, hacktoberfest, hacktoberfest-2022, hacktoberfest-accepted2022, hacktoberfest-starter, java, leetcode-solutions, open-source, pythn, python
- Size: 1.95 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Master Data Structures & Algorithms in Python 🐍
[](https://github.com/khachuyvk/python-dsa/releases)
## Table of Contents
- [Overview](#overview)
- [Roadmap](#roadmap)
- [Topics Covered](#topics-covered)
- [Getting Started](#getting-started)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)
- [Contact](#contact)
## Overview
This repository provides a structured 6-week self-study roadmap for mastering Data Structures and Algorithms (DSA) using Python 3. The content is designed for beginners and focuses on theory, hands-on coding, problem-solving patterns, and real-world mini-projects. This is ideal for preparing for interviews, placements, and enhancing your algorithmic thinking.
## Roadmap
### Week 1: Introduction to Python and Basic Concepts
- **Python Basics**: Syntax, variables, data types, and control structures.
- **Functions**: Definition, scope, and recursion.
- **Data Structures**: Lists, tuples, sets, and dictionaries.
### Week 2: Time Complexity and Big O Notation
- **Understanding Complexity**: What is time complexity?
- **Analyzing Algorithms**: Best, average, and worst-case scenarios.
- **Common Complexity Classes**: O(1), O(n), O(log n), O(n^2).
### Week 3: Fundamental Data Structures
- **Arrays**: Operations and applications.
- **Linked Lists**: Singly and doubly linked lists.
- **Stacks and Queues**: Implementation and use cases.
### Week 4: Trees and Graphs
- **Binary Trees**: Traversals, insertion, and deletion.
- **Binary Search Trees**: Properties and operations.
- **Graphs**: Representation, traversal algorithms (DFS, BFS).
### Week 5: Advanced Algorithms
- **Sorting Algorithms**: Bubble, selection, insertion, merge, and quicksort.
- **Searching Algorithms**: Linear search and binary search.
- **Dynamic Programming**: Principles and common problems.
### Week 6: Mini-Projects and Real-World Applications
- **Project 1**: Build a personal library system using data structures.
- **Project 2**: Implement a simple web scraper.
- **Project 3**: Create a basic game using algorithms.
## Topics Covered
- Algorithms and Data Structures
- Beginner-Friendly Content
- Problem-Solving Patterns
- Practice Programming
- Real-World Applications
## Getting Started
To get started with this repository, follow these steps:
1. **Clone the Repository**: Use the command below to clone the repository to your local machine.
```bash
git clone https://github.com/khachuyvk/python-dsa.git
```
2. **Navigate to the Directory**: Change to the repository directory.
```bash
cd python-dsa
```
3. **Explore the Content**: Open the files to view the structured roadmap and coding exercises.
## Installation
To run the code examples and projects, ensure you have Python 3 installed on your machine. You can download it from the [official Python website](https://www.python.org/downloads/).
### Dependencies
You may need to install additional libraries for specific projects. Use the following command to install required packages:
```bash
pip install -r requirements.txt
```
## Usage
After setting up the repository, you can start learning by following the roadmap. Each week focuses on specific topics, and you can practice coding through the provided exercises.
- **Theory**: Read through the explanations and examples.
- **Hands-On Coding**: Implement the examples in your own environment.
- **Problem-Solving**: Tackle the coding challenges to test your understanding.
## Contributing
Contributions are welcome! If you have suggestions for improvements or additional content, please fork the repository and submit a pull request.
### How to Contribute
1. Fork the repository.
2. Create a new branch for your feature or fix.
```bash
git checkout -b feature/your-feature-name
```
3. Make your changes and commit them.
```bash
git commit -m "Add your message here"
```
4. Push to the branch.
```bash
git push origin feature/your-feature-name
```
5. Open a pull request.
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
## Contact
For questions or feedback, please reach out to the repository maintainer:
- **GitHub**: [khachuyvk](https://github.com/khachuyvk)
- **Email**: khachuyvk@example.com
Feel free to visit the [Releases](https://github.com/khachuyvk/python-dsa/releases) section for downloadable content and updates.
[](https://github.com/khachuyvk/python-dsa/releases)