SDE SHEET - DSA in 2 Months - By kaushal singh with Kaushal Singh

🚀 DSA Algorithms in JavaScript — Complete Guide

Preparing for coding interviews and struggling to understand which algorithm to use?

This guide gives you a structured way to learn and revise the most important DSA algorithms using JavaScript.

What you'll get:

✅ Sorting Algorithms

• Bubble Sort
• Merge Sort
• Selection Sort
• Insertion Sort
• Quick Sort
• Heap Sort
• Counting Sort

✅ Searching Algorithms

• Linear Search
• Binary Search
• Jump Search
• Interpolation Search
• Exponential Search
• Ternary Search

✅ Dynamic Programming

• Fibonacci
• 0/1 Knapsack
• Longest Common Subsequence
• Longest Increasing Subsequence
• Matrix Chain Multiplication
• Edit Distance

✅ Graph Algorithms

• DFS
• BFS
• Dijkstra
• Bellman-Ford
• Floyd-Warshall
• A* Search
• Kruskal
• Prim
• Tarjan's SCC
• Kosaraju's SCC
• Cycle Detection

✅ Greedy Algorithms

• Activity Selection
• Kruskal
• Prim

✅ Backtracking

• N-Queens
• Sudoku Solver

✅ Mathematical Algorithms

• Euclidean Algorithm / GCD
• Sieve of Eratosthenes
• Modular Exponentiation

✅ Tree Algorithms

• Tree Traversals
• Binary Search Tree
• Lowest Common Ancestor
• AVL Tree

✅ Bit Manipulation

• Counting Set Bits
• Finding Non-Duplicated Element
• Common Bit Tricks

✅ Other Algorithms

• Topological Sorting
• Union-Find / Disjoint Set Union

The guide doesn't just provide code. Each algorithm includes theory, step-by-step approach, quick revision questions, and JavaScript implementation.

Perfect for:

🎯 DSA interview preparation

🎯 Software developer interviews

🎯 JavaScript / Node.js developers

🎯 Last-minute DSA revision

🎯 Students learning algorithms

🎯 Developers moving toward product-based companies

Learn the pattern. Understand the logic. Write the code. Crack the interview. 🚀

Content (Required)

What's inside the PDF:

📘 Complete DSA Algorithms Guide

💻 JavaScript implementations

🧠 Algorithm theory & explanations

📝 Quick questions for revision

⚡ Step-by-step algorithms

⏱️ Complexity-focused examples

🌳 Trees & Graphs

🔄 Sorting & Searching

🎯 Dynamic Programming

♟️ Backtracking

💡 Greedy & Mathematical Algorithms

🔢 Bit Manipulation

The document also contains practical JavaScript implementations—for example, BFS is accompanied by an implementation and complexity information, while Dijkstra includes a JavaScript implementation and example.