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<div align="center">
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<!-- Title: -->
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<a href="https://github.com/TheAlgorithms/">
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<img src="https://raw.githubusercontent.com/TheAlgorithms/website/1cd824df116b27029f17c2d1b42d81731f28a920/public/logo.svg" height="100">
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<h1><a href="https://github.com/TheAlgorithms/">The Algorithms</a> - Python</h1>
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<a href="https://gitpod.io/#https://github.com/TheAlgorithms/Python">
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<img src="https://img.shields.io/badge/Gitpod-Ready--to--Code-blue?logo=gitpod&style=flat-square" height="20" alt="Gitpod Ready-to-Code">
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</a>
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<a href="https://github.com/TheAlgorithms/Python/blob/master/CONTRIBUTING.md">
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<img src="https://img.shields.io/static/v1.svg?label=Contributions&message=Welcome&color=0059b3&style=flat-square" height="20" alt="Contributions Welcome">
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</a>
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<a href="https://the-algorithms.com/discord">
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<a href="https://gitter.im/TheAlgorithms/community">
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<br>
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<a href="https://github.com/TheAlgorithms/Python/actions">
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<!-- Short description: -->
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<h3>All algorithms implemented in Python - for education 📚</h3>
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Implementations are for learning purposes only. They may be less efficient than the implementations in the Python standard library. Use them at your discretion.
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## 🚀 Getting Started
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📋 Read through our [Contribution Guidelines](CONTRIBUTING.md) before you contribute.
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## 🌐 Community Channels
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We are on [Discord](https://the-algorithms.com/discord) and [Gitter](https://gitter.im/TheAlgorithms/community)! Community channels are a great way for you to ask questions and get help. Please join us!
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## 📜 List of Algorithms
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See our [directory](DIRECTORY.md) for easier navigation and a better overview of the project.
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# 🐍 The Algorithms - Python
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> **The definitive, open-source collection of all algorithms implemented in Python.**
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>
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> A collaborative educational project dedicated to providing clear, executable, and well-documented examples for fundamental and advanced computer science algorithms.
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---
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## 📈 Stats & Status
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| Metric | Status |
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| :---------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| **Stars** | [![GitHub Stars](https://img.shields.io/github/stars/TheAlgorithms/Python?style=flat-square&color=FFC72C&label=)](https://github.com/TheAlgorithms/Python/stargazers) |
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| **Forks** | [![GitHub Forks](https://img.shields.io/github/forks/TheAlgorithms/Python?style=flat-square&color=41B8D4&label=)](https://github.com/TheAlgorithms/Python/network/members) |
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| **Contributors** | **1,250+** Active Community Members |
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| **License** | [![License: MIT](https://img.shields.io/badge/License-MIT-41B8D4.svg?style=flat-square)](https://github.com/TheAlgorithms/Python/blob/master/LICENSE.md) |
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| **Code Style** | [![Pre-Commit Code Style](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square)](https://github.com/psf/black) |
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| **Ready-to-Code** | [![Open in Gitpod](https://img.shields.io/badge/Gitpod-Ready--to--Code-576A96?logo=gitpod&style=flat-square)](https://gitpod.io/#https://github.com/TheAlgorithms/Python) |
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---
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## 🎯 Project Goals
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This repository is an invaluable resource for:
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- **Students:** To see working examples of algorithms learned in class.
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- **Developers:** To quickly reference or refresh knowledge on a specific implementation.
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- **Interview Preparation:** To practice and understand the underlying logic of common interview problems.
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**Our Core Philosophy:** **Clarity over Performance.** _Implementations prioritize readability and educational value. They are not optimized for production-grade speed._
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---
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## 📂 Repository Structure & Key Domains
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The project is meticulously organized into folders, each representing a core domain in computer science.
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| Domain | Example Topics |
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| :---------------------- | :--------------------------------------------------------------- |
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| **Data Structures** | Linked Lists, Trees, Heaps, Hash Maps |
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| **Searching & Sorting** | Binary Search, Bubble Sort, Merge Sort, Quickselect |
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| **Mathematics** | Number Theory, Prime Sieve, Matrix Operations, Geometry |
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| **Advanced CS** | Dynamic Programming, Greedy Methods, Divide and Conquer |
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| **Graph Theory** | BFS, DFS, Dijkstra's, Kruskal's, Network Flow |
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| **Security & Privacy** | Ciphers (Caesar, Vigenere), Hashes (SHA, MD5) |
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| **Modern Tech** | Machine Learning, Computer Vision, Blockchain, Quantum Computing |
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➡️ **Explore All Algorithms:** View the full, categorized list in our **[DIRECTORY.md](https://github.com/TheAlgorithms/Python/blob/master/DIRECTORY.md)**.
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---
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## 🛠️ Getting Started: Your First Run
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### Prerequisites
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- Python **3.8+**
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- (Optional but Recommended) A Python virtual environment.
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### Installation
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Clone the repository and install necessary dependencies:
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```bash
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# 1. Clone the repository
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git clone [https://github.com/TheAlgorithms/Python.git](https://github.com/TheAlgorithms/Python.git)
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cd Python
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# 2. Install dependencies (We recommend 'uv' for speed)
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# pip install uv
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# uv sync
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# OR using pip
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pip install -r requirements.txt
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Running an Example
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Algorithms are designed to be run directly for testing. Many include doctests for built-in verification.
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Bash
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# Example: Running the Fibonacci sequence algorithm
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python maths/fibonacci_sequence.py
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# Example: Running a Graph algorithm
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python graphs/depth_first_search.py
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```
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# 🚀 Contribute and Grow
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This is a 100% community-driven project. Your contributions are the lifeblood of this repository!
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How to Get Involved
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Read the Guidelines: Start with the comprehensive CONTRIBUTING.md for a step-by-step guide.
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Find an Issue: Look for open issues labeled good first issue if you're new, or tackle a high-priority bug or missing algorithm.
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Submit a Pull Request (PR): Ensure your code is clean, well-commented, and adheres to the Black code style standard.
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Your contribution helps millions learn computer science!
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# 💬 Community & Support
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Need help, have a suggestion, or just want to discuss an algorithm? Join our vibrant community!
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Platform Link Purpose
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Discord Join our Server Real-time chat, quick help, and contribution coordination.
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Gitter Join our Chat General discussion and support channel.
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Export to Sheets
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⚠️ Important Disclaimer
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The code in this repository is designed for education and demonstration. While functionally correct, it is often written to be maximally clear rather than maximally fast.
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Do not use this code in a high-performance or production environment. For optimal performance in a production setting, rely on the optimized functions within Python's Standard Library or well-established third-party libraries.
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# © License
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This project is open source and available under the MIT License.

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