Day 3 Wrap — Solved 8 Heap Problems (JS/TS) + Heapsort Deep Dive

Today I focused on deep practice and understanding — I solved 8 heap problems across JavaScript and TypeScript (LeetCode & NeetCode). Here’s a quick summary of what I covered:

✅ Solved 8 heap-related problems (JS & TS implementations)
🔍 Deep dive into heapsort and comparisons with other sorting algorithms
⚖️ Explored how to make an unstable algorithm stable and when that matters
🧠 Discussed why heap-based algorithms can be slower than quicksort — due to cache locality and memory access patterns
💡 A small insight “clicked” while solving these problems — I’ll explain that discovery in the upcoming Heap video (dropping tomorrow)

If you’re preparing for interviews or want to strengthen fundamentals: this is the exact kind of focused repetition that converts understanding into intuition.

➡️ What’s next: Full Heap explainer video (with the insight + demo tool I built) — coming tomorrow.
👍 If you found this helpful, please like, subscribe, and hit the bell so you don’t miss the Heap deep dive.
📸 Follow my daily updates on Instagram: @roshan.daily.learnings

Drop a comment — what heap topic should I cover first in the deep dive? (operations, heapsort, or interview problems)

#minivlog #dayinmylife #coderlife #developerlife #gymlife
#codingreels #dailyvlog #vlogsindia #fitnessindia #reelitfeelit #buildinpublic #hustlelife #gymlifestyle #programmerlife #indiancreator #explorepage #viralreels #discipline #stayhard #techlife #gymmotivation #workhard #dreambig #indiavlogger #dailycontent #dailystudy #buildinpublic #dsa #startuplife #fullstackdeveloper #typescript #codingjourney

Видео Day 3 Wrap — Solved 8 Heap Problems (JS/TS) + Heapsort Deep Dive канала Roshan Daily Learnings