Explanations and applications of algorithms and data structures for solving real coding problems, with a focus on performance and practical use.
Implementing a stack from scratch seems straightforward, but many developers fall into common traps. From confusing array and linked list trade-offs to mishandling capacity and thread safety, this post covers the pitfalls you need to avoid.
The Two Sum problem is a classic coding interview question. This guide covers brute force, hash map, and two-pointer solutions with their trade-offs.
A bloom filter is a space-efficient probabilistic data structure that tests set membership with possible false positives. This article explains how it works, its trade-offs, and real-world use cases.
Recursion in tree traversal is a staple of coding interviews and real-world development, but even experienced developers fall into these five traps. Learn how to spot and fix them with concrete examples.
Hash tables and binary search trees are both fundamental data structures for storing key-value pairs. This article compares their performance, ordering guarantees, memory usage, and collision strategies to help you decide when to use each.
Learn how to implement a trie for autocomplete from scratch. This guide walks through trie structure, insertion, search, and prefix traversal with working Python code.
A trie is an efficient data structure for autocomplete. This guide walks through implementing a trie from scratch, including insertion, search, and prefix traversal, with code examples in Python.