subdas374 / Data_structure_and_algorithm_with_python

In this Repossitor I expain data structure and algorithm using python

<title>Data Structure and Algorithm with Python</title>

Data Structure and Algorithm with Python

Welcome to the "Data Structure and Algorithm with Python" repository! This repository is designed to provide you with a comprehensive collection of data structures and algorithms implemented in Python.

Table of Contents

1. Introduction
2. Data Structures
   1. Linear Data structure
      1. Arrays
      2. Linked Lists
      3. Stacks
      4. Queues
   2. non-Linear Data structure
      1. Trees
      2. Graphs
      3. Hash Tables
3. Algorithms
   1. Searching
   2. Sorting
   3. Recursion
   4. Dynamic Programming
   5. Graph Algorithms
   6. Greedy Algorithms
4. Contributing
5. License

Introduction

The goal of this repository is to help you understand the fundamentals of data structures and algorithms and how they are implemented in Python. Each data structure and algorithm in this repository is explained with clear code examples and explanations.

Data Structures

A data structure is a way of organizing and storing data in a computer so that it can be accessed and manipulated efficiently. It provides a specific layout and organization for data elements to be stored in memory, allowing for easy and optimized retrieval, insertion, and deletion of data.

Data structures play a crucial role in computer science and programming, as they determine how data is stored and accessed in algorithms and applications. Choosing the appropriate data structure for a specific problem can significantly impact the performance and efficiency of a program.

Arrays

Arrays are fundamental data structures that store elements of the same type in contiguous memory locations.

Linked Lists

Linked lists consist of nodes, where each node contains data and a reference to the next node in the sequence.

Stacks

Stacks are Last-In-First-Out (LIFO) data structures that allow insertion and deletion of elements only from the top.

Queues

Queues are First-In-First-Out (FIFO) data structures that allow insertion at the rear and deletion from the front.

Trees

Trees are hierarchical data structures consisting of nodes with parent-child relationships.

Graphs

Graphs are a collection of nodes (vertices) and edges that connect pairs of nodes.

Hash Tables

Hash tables use hash functions to store and retrieve data in a key-value format.

Algorithms

Searching

Searching algorithms are used to find the presence or location of a specific element in a data structure.

Sorting

Sorting algorithms arrange elements in a specific order, such as ascending or descending.

Recursion

Recursion is a programming technique where a function calls itself to solve a problem.

Dynamic Programming

Dynamic programming is an optimization technique used to solve complex problems by breaking them down into overlapping subproblems.

Graph Algorithms

Graph algorithms are used to solve problems related to graphs, such as finding the shortest path or detecting cycles.

Greedy Algorithms

Greedy algorithms make locally optimal choices at each step with the hope of finding a global optimum.

Contributing

We welcome contributions to this repository. If you have improvements, bug fixes, or new algorithms to add, please feel free to create a pull request.

License

This repository is licensed under the MIT License. Feel free to use the code and examples for your learning and projects.