This repository contains implementations and explanations of various data structures and algorithms in Python. It serves as a resource for learning and understanding fundamental concepts in computer science.
In this repository, you will find Python implementations of various data structures and algorithms. Each implementation includes code examples and explanations of the underlying concepts.
The goal of this project is to provide a comprehensive collection of data structures and algorithms that can be easily understood and applied in real-world scenarios. Whether you are a beginner learning the basics or an experienced programmer looking for a refresher, this repository aims to be a valuable resource.
The following data structures are covered in this repository:
- Stacks and Queues
- Linked Lists
- Trees and Binary Trees
- Graphs
- Hashing and Hash Tables
- Heaps and Priority Queues
For each data structure, you will find an explanation of its properties, operations, and use cases. The corresponding Python implementation is also provided, along with examples of how to use it.
The following algorithms are covered in this repository:
- Sorting Algorithms
- Searching Algorithms
- Recursion and Backtracking
- Dynamic Programming
Each algorithm is explained in detail, including its purpose, algorithmic approach, and time complexity analysis. Python implementations are provided for each algorithm, along with sample inputs and expected outputs.