Welcome to my Data Structures and Algorithms (DSA) journey repository! I'm excited to document my progress, organize my resources, and share my daily efforts as I learn and improve.

I have started learning DSA with a focus on Python because:

• It simplifies complex concepts.
• It’s beginner-friendly and widely used on platforms like LeetCode.

My goal is to dedicate 20 minutes daily to this challenge. I’ll cover DSA concepts step by step, solve problems, and keep everything neatly organized here.

To keep my learning resources organized and easy to access, I’ve structured the repository as follows:

DSA-Challenge/
│
├── 📚 Books/          # All DSA-related books and study materials
│   ├── book1.pdf
│   ├── book2.pdf
│   └── ...
│
├── 💻 Code/           # All Python code for solved problems
│   ├── Day1/
│   ├── Day2/
│   └── ...
│
├── 🖼️ Images/         # Visuals like flowcharts, diagrams, and patterns
└── README.md          # This file to track my journey

Welcome to the Data Structures and Algorithms (DSA) syllabus! This file serves as a roadmap and progress tracker for my DSA journey using Python. Let’s break it down into well-structured topics.

• Importance of DSA
• Problem-solving approach
• Big-O Notation: Understanding Time and Space Complexity

• Variables and Data Types
• Conditional Statements (if-else)
• Loops (for, while)
• Functions and Recursion Basics

• Understanding Flowcharts with diagrams
• Writing Pseudocode for algorithms

• Introduction to Arrays
• Operations: Traversing, Insertion, Deletion, Search
• Solving array-based problems

• Introduction to Strings
• String Manipulation Techniques
• Common Problems:
  • Reverse a String
  • Check for Palindrome

• Printing patterns using loops:
  • Star Patterns ⭐
  • Number Patterns 🔢
  • Pyramid and Diamond Patterns ⛰️

• Basics of Recursion 🧩
• Classic Problems:
  • Factorial
  • Fibonacci Series
  • Tower of Hanoi

• Linear Search
• Binary Search (Iterative and Recursive)
• Searching in Rotated Arrays

• Bubble Sort 🫧
• Selection Sort
• Insertion Sort
• Advanced Sorting:
  • Merge Sort
  • Quick Sort

• Singly Linked List
• Doubly Linked List
• Circular Linked List
• Solving Linked List Problems:
  • Reversing a Linked List
  • Detecting Cycles

• Stack (LIFO): Operations (Push, Pop, Peek)
• Queue (FIFO): Enqueue, Dequeue
• Applications: Parentheses Matching, Balanced Brackets

• Basics of Trees 🌳
• Binary Trees and Binary Search Trees (BST)
• Tree Traversals:
  • Inorder
  • Preorder
  • Postorder

• Introduction to Graphs
• Representations:
  • Adjacency Matrix
  • Adjacency List
• Traversals: BFS (Breadth-First Search) and DFS (Depth-First Search)

• Hash Maps and Hash Tables
• Collision Handling Techniques
• Common Problems:
  • Frequency Counting
  • Two Sum Problem

• Understanding DP Concepts
• Memoization vs Tabulation
• Solving DP Problems:
  • Longest Common Subsequence
  • 0/1 Knapsack

• Understanding the Greedy Approach
• Classic Problems:
  • Coin Change Problem
  • Activity Selection

• Concept of Backtracking 🔄
• Problems like:
  • N-Queens Problem
  • Sudoku Solver
  • Rat in a Maze

• Basics of Bitwise Operations
• Solving Problems using Bit Manipulation

• Min-Heap and Max-Heap
• Applications of Heaps
• Priority Queues in Problem Solving

• Tries: Prefix Trees
• Segment Trees
• Disjoint Set Union (Union-Find)
• KMP Algorithm: String Pattern Matching

• Dedicate 20 minutes every day to learning DSA.
• Solve problems, implement algorithms, and keep improving!

🚀 Let’s Grow Together!
Feel free to explore this repository and learn alongside me. Stay consistent and let’s master DSA! 🎯