WHY I STUDIED THIS

I wanted to understand computation from first principles — not just how to use algorithms, but why specific data structures and algorithmic patterns exist and when each one wins. Mastering DS & algorithms in Python was the technical foundation for everything that came later: the ERD modeling at HL Mando, the automation pipelines (where choosing the right data structure determines whether a process takes 2 minutes or 2 seconds), and the credibility to engage with engineering teams at NAVER and beyond.

Study deeply the technologies that you can leverage as your strengths. ”자신의 강점으로 내세울 기술들을 깊게 공부”

#1 Improving Coding Skills

#2 Search & Simulation (String, 1-dimensional, 2-dimensional List Search)

#3 Binary Search(Decision Algorithm) & Greedy Algorithm

#4 Data Structure (Stack, Queue, Hash, Heap)

#5 Brute-Force / Exhaustive Search (Backtracking, State Tree & Cut Edge) - DFS

#6 DFS, BFS

#7 Dynamic programming