The iitian coder

Merging lists in Python is simple… until you realize there are multiple ways to do it 👀🐍
From `+` operator to `extend()` and unpacking `*` — every method has its own use case!

Today’s reel topic: Merge Lists in Python
Code smarter, not harder 💻✨

📌 Graph Representation Made Easy!
An efficient way to store graphs where each node keeps a list of its neighbors. Saves space and is widely used in DSA & competitive coding 🚀

🚀 Finding the shortest path like a GPS!
Today’s topic: **Dijkstra Algorithm** 🔥
It helps find the shortest path between nodes in a graph using greedy logic. Perfect for maps, networks, and routing systems! 💡

Fibonacci with Recursion = Simple but Slow 🐢
Fibonacci with Memoization = Smart and Fast ⚡
Same problem, different thinking mindset in coding! 💻

F(n)=F(n-1)+F(n-2)

“Why calculate the same thing again and again when you can remember it?” 🤯

“Removing the N-th node from the end” 🚀
One of the most asked linked list interview problems!

Learn the smart two-pointer approach instead of counting twice 🔥

Adjacency Matrix = the easiest way to represent graphs in DSA 🔥
Every node connection stored in a 2D matrix for super fast edge checking ⚡
Perfect for dense graphs and interview questions!

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Everyone says C++ Programming is hard… but the real reason is it teaches you how computers actually work ⚡

Pointers, memory management, complex syntax, and debugging make C++ challenging — but once you master it, coding feels powerful 🚀

If you can learn C++, other languages start feeling easier 👀

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