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This repository contains my ongoing journey through data structures and algorithms, following a structured 12-week study plan

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DS & Algo Study Roadmap (12 Weeks)

This repository contains my ongoing journey through data structures and algorithms, following a structured 12-week study plan inspired by:

  • Grokking Data Structures by Marcello La Rocca
  • Grokking Algorithms by Aditya Bhargava

About

I’m using this repo to:

  • Implement exercises from both books
  • Write tests to validate each data structure and algorithm
  • Track progress weekly as I deepen my understanding of DS & Algo concepts

If you're learning along or want to see practical code examples, feel free to explore and contribute!


Study Plan Overview

Week Topics & Books Status
1 Introduction + Arrays (Grokking Data Structures) ✅ Done
2 Big-O + Dynamic Arrays (Grokking Data Structures) ✅ Done
3 Linked Lists + Abstract Data Types (Grokking Data Structures) ✅ Done
4 Stacks & Queues (Grokking Data Structures) ✅ Done
5 Priority Queues + Heaps (Grokking Data Structures)
6 Trees, Hash Tables, Graphs (Grokking Data Structures)
7 Algorithm Basics + Sorting (Grokking Algorithms)
8 Recursion + Quicksort (Grokking Algorithms)
9 Hash Tables + BFS (Grokking Algorithms)
10 Trees & Balanced Trees (Grokking Algorithms)
11 Dijkstra + Greedy (Grokking Algorithms)
12 Dynamic Programming + K-Nearest Neighbors (Grokking Algorithms)

Weekly Breakdown

Week 1: Introduction + Arrays

📖 Chapters from Grokking Data StructuresTasks ✔️ Implemented Static Arrays and Sorted Arrays with unit tests

Week 2: Big-O + Dynamic Arrays

📖 Chapters from Grokking Data StructuresTasks ✔️ Implemented Dynamic Arrays and Sorted Dynamic Arrays with unit tests

Week 3: Linked Lists + Abstract Data Type (Bag)

📖 Chapters from Grokking Data StructuresTasks ✔️ Implemented Linked Lists and Abstract Data Types with unit tests

Week 4: Stacks + Queues

📖 Chapters from Grokking Data StructuresTasks ✔️ Implemented Stacks and Queues with unit tests

Week 5 - 12

(To be implemented — following the roadmap above)


Project Structure

  • /data-structures/ — Implementations of data structures
  • /algorithms/ — Algorithm implementations
  • /tests/ — Unit tests using Vitest
  • README.md — This file

How to Run Tests

npm install
npm run test

Tests cover both correctness and performance considerations like resizing and binary search.


Contributions & Feedback

This repo is a personal learning project and a work in progress. If you find any issues or have suggestions, feel free to open an issue or pull request — I’d appreciate the feedback!


License

This project is shared under the MIT License. Feel free to use and modify the code for your own learning and projects.

About

This repository contains my ongoing journey through data structures and algorithms, following a structured 12-week study plan

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