📄️ Why DSA and Big-O Still Matter
DSA and Big-O notation aren't just for interviews — they directly impact real-world performance and costs, from serverless runtime billing to optimizing data pipelines. This article explores their practical value through personal experience and potential demos.
📄️ Common Tasks in Data Structures & Algorithms Problems
A reference list of the most common patterns in DS&A problems, including hashmaps, two pointers, DFS/BFS, dynamic programming, and more. Useful for interviews, practice, or competitive programming prep.
📄️ Fixed Sliding Window: Rethinking the Pattern
You do **not** have to start at 0, and your loop variable does **not** need to touch every element.
🗃️ Iterate
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🗃️ lang-comparison
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📄️ Diffing Large Arrays Efficiently: How Merkle Trees Unlock Scalable Sync
🧠 The Problem: Efficiently Diffing Large Arrays