Data Structures and Algorithms (DSA) in Python

Welcome to the Data Structures and Algorithms (DSA) in Python repository! This repository contains comprehensive resources and code examples from the full course by Coding Ninjas, aimed at helping you master data structures and algorithms using Python.

📋 Contents

• Introduction
• Objective
• Key Features
• Technology Stack
• Getting Started
• Contributing
• Challenges Faced
• Lessons Learned
• Why I Created This Project
• License
• Contact

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📖 Introduction

This repository hosts a complete set of resources and code examples from the Data Structures and Algorithms (DSA) in Python course by Coding Ninjas. It aims to provide a thorough understanding of various data structures and algorithms, enhanced with practical examples and problem-solving techniques.

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🎯 Objective

The objective of this project is to offer a structured and detailed learning path for mastering data structures and algorithms using Python. It is designed to cater to both beginners and intermediate learners who wish to strengthen their understanding and skills in DSA.

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✨ Key Features

• Comprehensive Course Content: Detailed explanations and examples for a wide range of data structures and algorithms.
• Practical Code Examples: Real-world examples and problem-solving techniques.
• Structured Learning Path: Step-by-step guidance through various topics.
• Well-Commented Code: Clear and concise code with detailed comments for better understanding.
• Interactive Learning: Hands-on practice with provided exercises and solutions.

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🛠️ Technology Stack

• Python: The primary programming language used in this project.
• Jupyter Notebook: An open-source web application for creating and sharing documents that contain live code, equations, visualizations, and narrative text.
• VSCode: A source-code editor made by Microsoft for Windows, Linux, and macOS.

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🚀 Getting Started

To get a local copy of this project up and running on your machine, follow these simple steps:

Prerequisites

Ensure you have Python and Jupyter Notebook installed on your local machine. You can download Python from here and Jupyter Notebook from here.

Installation

1. Clone the repository:

   git clone https://github.com/Md-Emon-Hasan/Data-Structures-And-Algorithms-DSA-In-Python-Full-Course-By-Coding-Ninjas-In-English-.git

2. Navigate to the project directory:

   cd Data-Structures-And-Algorithms-DSA-In-Python-Full-Course-By-Coding-Ninjas-In-English-

3. Install the required packages:

   pip install -r requirements.txt

4. Launch Jupyter Notebook:

   jupyter notebook

5. Open any notebook and start exploring:

   • Navigate to the notebooks directory and open any .ipynb file to start learning.

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🤝 Contributing

Contributions are welcome and encouraged! Here's how you can contribute to this project:

1. Fork the repository:

   git clone https://github.com/Md-Emon-Hasan/Data-Structures-And-Algorithms-DSA-In-Python-Full-Course-By-Coding-Ninjas-In-English-.git

2. Create a new branch:

   git checkout -b feature/new-feature

3. Make your changes:

   • Make updates or add new features to the project.

4. Commit your changes:

   git commit -am 'Add a new feature'

5. Push to the branch:

   git push origin feature/new-feature

6. Submit a pull request:

   • Go to the repository and click on the "Pull Requests" tab.
   • Click the green "New pull request" button.
   • Select the branch you made your changes on.
   • Click "Create pull request."

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🛠️ Challenges Faced

During the development of this project, several challenges were encountered:

• Complexity of Algorithms: Understanding and implementing complex algorithms and ensuring their correctness.
• Optimization: Ensuring the code is efficient and performs well for various data structures and algorithms.
• Educational Clarity: Making sure the explanations and code are clear and easy to understand for learners.

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📚 Lessons Learned

Through the development process, several key lessons were learned:

• Enhanced DSA Skills: Improved proficiency in understanding and implementing data structures and algorithms using Python.
• Problem-Solving Techniques: Gained a deeper understanding of problem-solving techniques and their applications in DSA.
• Effective Teaching: Learned how to present complex topics in an easy-to-understand manner.

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🌟 Why I Created This Project

I created this project to provide a structured and practical learning experience for individuals interested in mastering data structures and algorithms. By leveraging the comprehensive course content from Coding Ninjas, this project aims to offer hands-on tutorials and exercises that facilitate learning and skill development.

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📜 License

This project is licensed under the Apache License 2.0. See the LICENSE file for more details.

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📬 Contact

• Email: [email protected]
• WhatsApp: +8801834363533
• GitHub: Md-Emon-Hasan
• LinkedIn: Md Emon Hasan
• Facebook: Md Emon Hasan

Feel free to reach out for any questions, feedback, or collaboration opportunities!