Building the Two-Heap Median Stream Algorithm from Scratch
A step-by-step guide to solving the Find Median from Data Stream problem, building intuition from brute force to the optimal dual-heap approach.
Journal
Technical guides and strategies to help you navigate the modern interview landscape.
A step-by-step guide to solving the Find Median from Data Stream problem, building intuition from brute force to the optimal dual-heap approach.
Yes, this is long. It is the continuously updated, ultimate compilation of every Python idiom, trick, and trap for efficient interview coding.
A guide to selecting BFS, Dijkstra, Bellman-Ford, or Floyd-Warshall based on graph constraints.
Why the simplest solution to a complex system starts with local coherence and business logic rather than infrastructure choice.
A breakdown of how Large Language Models maintain context through various architectural memory patterns with code examples.
A technical comparison of Retrieval Augmented Generation and Long Context strategies for managing private data in Large Language Models.
An engineering first perspective on choosing between LangChain, CrewAI, and Google's Agent Builder Kit (ADK) without the framework hype.
Why persistent connections like WebSockets change the rules for load balancing and how to pick the right strategy for your scale.
Learn how to efficiently find the Kth largest element using Python's heapq module with the Min heap of size K strategy.