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AlgoStreet is a comprehensive repository designed to be your go-to resource for mastering algorithms and elevating your problem-solving skills. Whether you are preparing for coding interviews

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AlgoStreet

AlgoStreet is a comprehensive repository designed to be your go-to resource for mastering algorithms and elevating your problem-solving skills. Whether you are preparing for coding interviews, enhancing your competitive programming capabilities, or simply learning algorithms, AlgoStreet has you covered.

Features

  • All-Inclusive Algorithm Collection: A curated list of essential algorithms categorized by their type and usage.
  • Well-Documented Code: Easy-to-follow, clean, and well-commented implementations in multiple programming languages.
  • Practical Examples: Includes test cases and example usage to help you understand how to apply the algorithms.
  • Constant Updates: Regular additions and improvements to ensure you have access to the latest and most efficient algorithms.

Why AlgoStreet?

AlgoStreet is built with a focus on:

  • Learning: Simplified explanations and implementations to make it easier for beginners to grasp.
  • Efficiency: Optimized algorithms to solve problems effectively.
  • Interview Readiness: A complete toolkit to crack coding interviews with confidence.
  • Community Support: Contributions and feedback from a growing community of algorithm enthusiasts.

Categories of Algorithms

AlgoStreet covers a wide range of topics, including but not limited to:

  1. Sorting and Searching Algorithms
  2. Dynamic Programming
  3. Graph Algorithms
  4. Greedy Algorithms
  5. Backtracking
  6. Divide and Conquer
  7. String Algorithms
  8. Mathematical Algorithms
  9. Bit Manipulation
  10. Advanced Data Structures

How to Use AlgoStreet

  1. Clone the Repository

    git clone https://github.com/yourusername/AlgoStreet.git
    cd AlgoStreet
  2. Browse Algorithms Navigate through the folders to explore algorithms categorized by topics.

  3. Run Code Samples Follow the instructions in the respective README files of each algorithm to run the sample code.

  4. Learn and Implement Study the examples and explanations, and practice by solving problems from various coding platforms.

Contribution Guidelines

We welcome contributions to make AlgoStreet even better! Here's how you can contribute:

  • Fork the repository and create a new branch for your feature or bug fix.
  • Make your changes, ensuring they follow the existing code structure and standards.
  • Submit a pull request with a clear description of your changes.

Start your algorithmic journey with AlgoStreet and unlock the power of problem-solving!

Happy Coding! 🚀

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AlgoStreet is a comprehensive repository designed to be your go-to resource for mastering algorithms and elevating your problem-solving skills. Whether you are preparing for coding interviews

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