Guys, Big Announcement!

We’ve officially crossed 4 Lakh followers on this journey together — and it’s time to step up now! ❤️

I’m launching a Coding Interview Prep Series — designed for everyone from beginners to those polishing their skills for FAANG-level interviews.

This will be a structured, step-by-step journey — with short explanations, real coding examples, and mini-challenges after every topic to build real muscle memory.

Here’s what’s coming in the next few weeks:

Week 1: The Very Basics

- What is an Algorithm?

- What is Data Structure?

- Understanding Time Complexity (Big O Notation - made simple!)

- Basic Math for Coding Interviews

- Problem Solving Approach (How to break down a question)


Week 2: Arrays & Strings — Your Building Blocks

- Introduction to Arrays and Strings

- Common Operations (Insert, Delete, Search)

- Two Pointer Techniques (Easy to Medium problems)

- Sliding Window Problems (Optimization techniques)

- String Manipulation Tricks for Interviews


Week 3: Hashing & Recursion

- HashMaps and HashSets (Power tools for coders!)

- Solving Problems using Hashing

- Introduction to Recursion

- Base Case and Recursive Case (Explained like a 5-year-old)

- Classic Recursion Problems


Week 4: Linked Lists, Stacks & Queues

- Singly vs Doubly Linked List

- Stack Operations and Problems (Valid Parentheses, Min Stack)

- Queue and Deque Concepts (with real examples)

- When to Use Stack vs Queue in Interviews


Week 5: Trees & Graphs Essentials

- Binary Trees and BST Basics

- Tree Traversals (Inorder, Preorder, Postorder)

- Graph Representations (Adjacency List, Matrix)

- Breadth-First Search (BFS) and Depth-First Search (DFS) explained simply


Week 6: Sorting, Searching & Interview Patterns

- Core Sorting Algorithms (Selection, Bubble, Insertion)

- Advanced Sorting (Merge Sort, Quick Sort)

- Binary Search Patterns (Find First, Last Occurrence, etc.)

- Mastering Interview Patterns (Two Sum, Three Sum, Subarray Sum, etc.)


Week 7: Dynamic Programming & Advanced Problem Solving

- What is Dynamic Programming (DP)?

- Top-Down vs Bottom-Up Approach

- Memoization and Tabulation Explained

- Classic DP Problems (Fibonacci, 0/1 Knapsack, Longest Subsequence)


Week 8: Real-World Mock Interviews

- Solving Medium to Hard Problems

- Tackling FAANG-level Interview Questions

- Tips to Handle Pressure in Coding Rounds

- Building the Right Mindset for Success


React with ❤️ if you're ready for this new coding series


You can join our WhatsApp channel to access it for free: https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X

Numpy Cheatsheet 📱