Скачать или смотреть 🔥 Day 46 of Solving 455 problems in 100 Days of Code Challenge

🔥 Day 46 of Solving 455 Problems in 100 Days of Code Challenge | Striver A2Z Sheet

Yesterday, we wrapped up the Two Pointer & Sliding Window segment by mastering frequency-based windowing, boundary adjustments, and pattern recognition. With these techniques in place, we’re all set to move into a new, powerful terrain of data structures.

Today, we enter the world of Heaps — learning the core intuition behind min-heaps and max-heaps in Lecture 1 of Step 11, and then tackling a curated set of standard heap problems from Lecture 2 that appear in interviews across companies of all levels.

⚡ Day 46 Plan (Step 11 — Heaps)

02:20 – Understanding Heaps (Min-Heap, Max-Heap, Applications)
03:00 – Implementing Heap Operations
03:20 – K Largest Elements
03:35 – Sort a K-Sorted Array
03:55 – Top K Frequent Elements
04:10 – Recap & Heaps Pattern Summary

🎯 End-of-Day Goals
✅ Build intuition for heap mechanics and priority queue operations
✅ Master standard interview problems involving heap-based optimization
✅ Learn when to choose heaps over sorting, sets, or maps
✅ Gain confidence in using PriorityQueue in real-world coding rounds

🔜 Next Up → Advanced Heap Patterns & Trie Introduction
We’ll expand into more complex heap-based workflows and begin exploring Trie fundamentals — the final jump before diving into hardcore string problems 🚀
📌 Context From Previous Streams

This heap session continues the learning momentum built from earlier streams:

1️⃣ DSA Grind – 455 Problems in 100 Days
Daily streams where we built strong problem-solving muscle through arrays, hashing, linked lists, sliding window, stack/queue designs, and more.
https://www.youtube.com/live/P7zMLhlp...

2️⃣ Capgemini Interview Experience
A complete breakdown of Aptitude, Coding, and Interview rounds — influencing the strategy used in these live problem-solving sessions.
https://www.youtube.com/live/NbEqViA-...

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