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A simple Repository that contains the content of basic implementations of classic data structures and fundamental algorithms. The code here is optimized and simple, which makes it easier to understand.

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DS_Bootcamp

This repository contains Java implementations of Data Structures and Algorithms developed during a Data Structures Bootcamp.
It is designed to help understand core concepts through clean, readable, and beginner-friendly code. The implementations prioritize simplicity and correctness over heavy optimization, making them suitable for learning, revision, and interview preparation.

Repository Overview:

The repository is organized into folders based on topic for better navigation and clarity.


Data-Structures:

This directory contains implementations of fundamental data structures in Java, including:

  • Linked Lists:
    • Singly Linked Lists.
    • Circular Linked Lists.
  • Stacks :
    • Linear Stack.
  • Queues :
    • Linear Queue.
    • Circular Queue.
  • Trees :
    • Binary Tree.
    • Binary Search Tree.
    • AVL Tree.
  • Graphs :
    • Adjaceny Matrix.
    • Adjacency List.
    • BFS algorithm.
    • DFS algorithm.
    • Dijkstra's algorithm.
    • Kruskal's algorithm.
    • Prim's algorithm.

Searching-algorithms:

This directory includes Java implementations of common searching techniques:

  • Linear Search.
  • Binary Search.
  • Uniform Binary Search.
  • Fibonacci Search.
  • Interpolation Search.

The implementations demonstrate how different searching strategies behave under different conditions.

Sorting-algorithms:

This directory contains Java implementations of basic sorting algorithms such as:

  • Bubble Sort.
  • Selection Sort.
  • Insertion Sort.
  • Quick Sort.
  • Radix Sort.
  • Merge Sort.
  • Shell Sort.

These programs are written to clearly show algorithm flow and logic rather than micro-optimizations.

Notes:

This directory contains Markdown notes created during the bootcamp sessions.
The notes explain:

  • Key concepts.
  • Algorithm intuition.
  • Important observations.
  • Day wise concepts.

Technology Stack:

  • Programming Language: Java.
  • Development Environment: Any Java-compatible IDE.
  • License: MIT.

How to Use This Repository?

  1. Clone the repository:

    git clone https://github.com/Pranav-173/DS_Bootcamp.git

    (or)

    git clone https://github.com/Nullkernel/DS_Bootcamp.git

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A simple Repository that contains the content of basic implementations of classic data structures and fundamental algorithms. The code here is optimized and simple, which makes it easier to understand.

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