Deep dives into algorithm patterns, study strategies, and everything you need to ace your coding interview.
An honest breakdown of LeetCode Premium — what you get, what you don't, and whether the $35/month is worth it based on your situation.
A complete 10-week LeetCode study plan for 2026 with four phases covering foundations, core patterns, advanced techniques, and mock interview practice.
15 battle-tested LeetCode tips that separate efficient solvers from people who grind for months without improvement.
An honest assessment of LeetCode certification — what it proves, whether employers care, and when it actually helps your job search versus when your time is better spent on interview prep.
DevOps coding interviews focus on scripting, automation, and basic algorithms — not hard DP. Learn the 30-50 LeetCode problems that actually matter for DevOps and SRE roles.
30 hand-picked LeetCode problems where Python's Counter, defaultdict, heapq, and slicing give you an unfair advantage over other languages.
Netflix interviews are senior-only, design-heavy, and include a culture fit round that matters as much as coding. Here is how to prepare with the right LeetCode problems and system design practice.
An honest guide to LeetCode coaching options — when paid training is worth it, when free resources are enough, and how to maximize value from every approach.
Master LeetCode with JavaScript — essential data structures, time-saving tricks, common pitfalls, and the best starter problems for JS interviews.
The most common LeetCode patterns and problems tested in Meta coding interviews, plus a level-by-level breakdown and 4-week prep plan.
A complete guide to LeetCode SQL problems organized by the patterns interviewers actually test — JOINs, window functions, CTEs, and more.
An honest comparison of 7 coding practice platforms including HackerRank, NeetCode, AlgoExpert, CodeSignal, and Codeforces — with guidance on when to use each.
A complete guide to Apple coding interviews — the format, most tested LeetCode patterns, top problems, and a 4-week prep plan emphasizing clean code and software design.
Mock interviews are where LeetCode practice becomes real interview readiness. Learn how to run effective mock sessions that train communication, timing, and pressure handling.
An honest comparison of Grokking the Coding Interview and LeetCode — covering pattern-based learning, pricing, problem quality, and the best way to combine both approaches.
A complete guide to DoorDash coding interviews: the format, the most-tested LeetCode patterns, 12 must-solve problems, and a 3-week prep plan.
A complete guide to Uber coding interviews covering the most tested LeetCode patterns, top 12 problems, interview format, and a 4-week prep plan for Uber SWE roles.
The most-tested LeetCode patterns at Google, top 15 problems, and a focused prep plan for Google's phone screen and onsite coding interviews.
A practical guide to balancing LeetCode coding prep with system design study, including timelines by level and a combined study plan.
Data engineer interviews test SQL fluency, Python coding, and pipeline design. This guide covers the exact LeetCode problems and topics that matter for data engineering roles.
The complete guide to the Blind 75 LeetCode list — optimal study order, comparisons to NeetCode 150 and Grind 75, and how to actually retain what you learn.
The most common LeetCode patterns and problems tested in Bloomberg coding interviews, plus OOP design tips and a focused 3-week prep plan.
Master the Union-Find data structure for LeetCode with path compression, union by rank, and the classic problems where it outperforms BFS and DFS.
Frontend engineers face a hybrid interview — algorithms, DOM manipulation, and framework knowledge all at once. This focused LeetCode plan covers exactly what to prioritize.
A practical guide to choosing between memoization (top-down) and tabulation (bottom-up) for dynamic programming interview problems.
Dynamic programming trips up even experienced engineers. Learn the two-step framework — identify overlapping subproblems, write a recurrence relation — and you'll be able to tackle any DP problem on LeetCode.
A complete guide to solving LeetCode problems in C#, covering collections, LINQ tricks, common pitfalls, and a starter problem set for interview prep.
Trees and graphs appear in over a third of coding interviews. Learn the BFS and DFS patterns, templates, and classic problems you need to solve them confidently.
Stop random grinding. This 8-week coding interview study plan walks you week by week through every major LeetCode pattern — with a built-in spaced repetition schedule so nothing falls through the cracks.
An honest, side-by-side comparison of LeetCode and HackerRank for coding interview prep — when to use each and how to get the most out of both platforms.
Master the sliding window technique with fixed and variable window templates that solve 15+ LeetCode problems. Includes the universal template and classic problem walkthroughs.
Two pointers and sliding window solve 20+ common LeetCode problems. Learn the mental models, see the classic problems, and drill the patterns with spaced repetition.
The most frequently tested LeetCode problems at Amazon, the interview format breakdown, and a 4-week prep plan to get through the loop.
Most LeetCode grinders memorize solutions. The engineers who get hired recognize patterns. Here are the 15 core leetcode patterns that show up again and again in coding interviews.
Master C++ for LeetCode with essential STL containers, time-saving tricks, and the speed advantage that makes C++ the top choice for competitive programming and coding interviews.
A clear decision framework for choosing between BFS and DFS in coding interviews, with side-by-side comparisons and real LeetCode examples.
Master the 3 core interval patterns — merge, insert, and schedule — to confidently solve any interval problem on LeetCode and in coding interviews.
A practical guide to every data structure that matters for LeetCode — arrays, hash maps, stacks, trees, heaps, and graphs with a decision framework for interviews.
Master Java for LeetCode with the essential collections, time-saving tricks, and common pitfalls every interviewer expects you to know.
Stop asking how many LeetCode problems you need. The right question is how many patterns you cover. Here is the data-driven answer.
Every algorithm concept you need for LeetCode in one reference — Big O notation, sorting, searching, and paradigms ranked by interview frequency.
Stacks and queues appear in more coding interviews than most people expect. This guide covers parentheses matching, monotonic stacks, queue patterns, and the key problems you need to know.
A practical Big O guide for coding interviews — learn to analyze time and space complexity on the spot with cheat sheets, common patterns, and tricky edge cases.
Master heap and priority queue patterns for coding interviews. From top K elements to merging K sorted lists, these are the patterns that separate good candidates from great ones.
A complete guide to using Python for LeetCode — from essential data structures and time-saving tricks to common pitfalls and the best problems to start with.
A beginner-friendly roadmap for starting LeetCode — from your first Easy problem to confidently tackling mediums in weeks, not months.
Binary search goes far beyond sorted arrays. Learn the template variations for rotated arrays, answer space problems, and the off-by-one traps that trip up even experienced engineers.
Stop forgetting LeetCode solutions. Learn how spaced repetition turns pattern knowledge into lasting interview readiness with a proven review schedule.
Arrays and hash maps are the most-tested category in coding interviews. Learn the core patterns — frequency counting, two-sum, grouping, and prefix sums — that turn brute-force into elegant O(n) solutions.
A complete walkthrough of Merge Intervals (#56) covering the sort-and-sweep approach, visual examples, edge cases, and the interval pattern that applies to dozens of related problems.
Master the 5 core linked list patterns — reversal, fast & slow pointers, merge, dummy heads, and edge case handling — to crack any linked list interview problem.
A complete walkthrough of Number of Islands (#200) covering DFS, BFS, and Union-Find solutions with complexity analysis and related grid traversal problems.
Master the backtracking algorithm template that solves permutations, combinations, subsets, N-Queens, and more. Learn when to use backtracking and how to prune for optimal performance.
Master the Two Sum LeetCode problem with brute force and optimal hash map solutions, edge cases, and the complement-search pattern that unlocks dozens of problems.
Learn when greedy algorithms work, when they fail, and how to prove your approach is correct. Covers Jump Game, Gas Station, interval scheduling, and the greedy vs DP decision framework.