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850+ DSA Solutions in Python

Welcome to the ultimate Data Structures and Algorithms (DSA) preparation repository. This repository is a meticulously curated collection of high-quality, interview-level coding problems and their corresponding optimal Python solutions.

Repository Overview

This project aims to provide a comprehensive resource for students and professionals preparing for technical interviews at top-tier tech companies. Each topic folder contains a structured set of 20 problems, ranging from Easy to Hard difficulty.

DSA & Development Mastery Journey

Progress Overview

  • Total Topics Covered: 42
  • Total Problems Solved: 840 / 840
  • Status: ✅ Completed

Core Data Structures & Algorithms

Topic Status Progress
Array and List 20 / 20
Linked List 20 / 20
Stack and Queues 20 / 20
Trees 20 / 20
Heaps 20 / 20
Sorting and Searching 20 / 20
Matrix 20 / 20
String 20 / 20
Hash 20 / 20
Sliding Window 20 / 20
Two Pointer 20 / 20
Recursion 20 / 20
Backtracking 20 / 20
Dynamic Programming 20 / 20
Graphs 20 / 20
Greedy Algorithm 20 / 20
Bit Manipulation 20 / 20
Divide and Conquer 20 / 20
Mathematical Problems 20 / 20
Geometrical Problems 20 / 20

Advanced Topics

Topic Status Progress
Advanced Data Structures 20 / 20
Advanced String 20 / 20
Advanced Mathematics 20 / 20
Advanced Problems 20 / 20
Competitive Programming 20 / 20

Programming & Software Engineering

Topic Status Progress
OOP 20 / 20
Advanced Python Concepts 20 / 20
Functional Programming 20 / 20
Basics 20 / 20
Concurrency & Multithreading 20 / 20

Core Computer Science

Topic Status Progress
System Design 20 / 20
Databases 20 / 20
Networking 20 / 20
Security 20 / 20
Testing & Debugging 20 / 20

Data & Development

Topic Status Progress
Data Science 20 / 20
Machine Learning 20 / 20
Web Development 20 / 20
Game Development 20 / 20

Real-World & Miscellaneous

Topic Status Progress
Real World Applications 20 / 20
Real World Problems 20 / 20
Miscellaneous 20 / 20

Achievements

  • Solved 840+ problems across 42 topics
  • Covered complete DSA + Core CS + Development
  • Strong problem-solving & system design skills
  • Hands-on practice with real-world scenarios

Structure for Each Folder

Each topic folder follows a strict, professional structure:

Topic_Name/
├── Problems/
│   ├── problem1.md
│   ├── ...
│   └── problem20.md
└── Solutions/
    ├── solution1.md
    ├── ...
    └── solution20.md

Problems Folder

Contains 20 Markdown files. Each file includes:

  • Title: Descriptive name of the problem.
  • Problem Statement: Detailed explanation of the task.
  • Input/Output Formats: Clear definitions of expected data.
  • Constraints: Time and space limits.
  • Example Cases: Sample walkthroughs.

Solutions Folder

Contains 20 Markdown files corresponding to the problems. Each file includes:

  • Approach: High-level explanation of the logic.
  • Step-by-Step Logic: Line-by-line breakdown for beginners.
  • Complexity Analysis: Big O notation for Time and Space.
  • Python Code: Clean, well-commented, and optimized implementation.

Tech Stack

  • Languages: Python, C++, JavaScript
  • Domains: Data Structures & Algorithms, Machine Learning, Web Development
  • Tools: Git, GitHub, VS Code, Jupyter Notebook

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