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Data Structures & Algorithms in PHP

Welcome to my repository for Data Structures and Algorithms implementations for PHP learning resources. This repository is a collection of code examples, explanations, and notes that I've created while learning and practicing data structures and algorithms. Whether you're a beginner or an experienced developer looking to refresh your knowledge, I hope you find this repository helpful.

Table of Contents

Introduction

Understanding data structures and algorithms is crucial for writing efficient and optimized PHP code. This repository serves as a reference and learning resource for various data structures and algorithms commonly used in programming.

Data Structures

In this section, you'll find implementations and explanations of various data structures, including but not limited to:

  • Arrays
  • Linked Lists
  • Stacks
  • Queues
  • Trees (Binary Trees, Binary Search Trees, AVL Trees, etc.)
  • Heaps
  • Hash Tables
  • Graphs

Each data structure includes code examples, explanations, and complexity analysis.

Algorithms

This section covers a wide range of algorithms, including:

  • Sorting Algorithms (Bubble Sort, Quick Sort, Merge Sort, etc.)
  • Searching Algorithms (Binary Search, Linear Search, etc.)
  • Graph Algorithms (Breadth-First Search, Depth-First Search, Dijkstra's Algorithm, etc.)
  • Dynamic Programming
  • Recursion
  • and more!

Each algorithm comes with detailed explanations, code implementations, and time/space complexity analysis.

Usage

Feel free to browse through the code and explanations provided in this repository. You can use it as a reference while studying or implementing data structures and algorithms in your own projects.

Contributing

If you'd like to contribute to this repository, you're more than welcome! Contributions could include:

  • Adding more data structures or algorithms.
  • Improving existing code or explanations.
  • Fixing bugs or errors in the code.
  • Adding additional learning resources or notes.

Please fork this repository, create a new branch for your contributions, and submit a pull request. Your contributions will be greatly appreciated!

License

This repository is licensed under the MIT License. Feel free to use, modify, and distribute the code as per the terms of the license.

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