Practical guides to the algorithm patterns that show up in real interviews.
Learn how to solve expression parsing problems with stacks, including valid parentheses and calculator-style evaluation, with Python walkthroughs.
Learn core BST interview patterns with validate BST, search, insert, delete, and kth smallest. Includes Python code, examples, and complexity tables.
Learn the palindrome pattern for interviews, including expand-around-center, DP, palindrome partitioning, and Manacher’s algorithm.
Learn how tries solve prefix-heavy string problems like autocomplete and word search, with Python examples, complexity analysis, and interview tips.
Learn binary tree traversals, recursion patterns, and LCA with clear Python examples, complexity tables, and interview-ready mental models.
Learn how hash maps power common interview problems like Two Sum and Group Anagrams, with Python examples, complexity analysis, and patterns to reuse.
Learn how to solve binary search variants like first bad version, search insert position, and peak element with clear patterns and Python walkthroughs.
Learn segment trees for fast range queries and range updates, with Python code, lazy propagation, examples, and interview-focused intuition.
Master core linked list interview patterns with step-by-step intuition, Python code, and worked examples for reversing, cycle detection, and merging sorted lists.
Learn how to spot greedy problems, prove the choice is safe, and solve classics like interval scheduling, jump game, and gas station in interviews.
Turn any LeetCode problem into an interactive lesson — trace variables, visualize the algorithm, and practice until it clicks.
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