
Detect a linked list cycle using the two-pointer hare and tortoise method, handle empty or single-node lists, and explain end conditions and the time complexity o(n).
Explains the valid parenthesis problem across six bracket types and shows how to use a stack to check balance, match types, and achieve O(n) time.
Learn to count the number of ways to climb to step n when you can take one or two steps, using a recursive f(i)=f(i+1)+f(i+2) and memoization for O(n) time.
Learn to determine if a linked list is a palindrome in O(n) time and O(1) space by reversing the second half, comparing the halves, and restoring the list.
Apply binary search to the search insert position problem on a sorted array of distinct integers, returning the target index or the insertion point to maintain order in O(log n).
Explore the path sum problem by checking for a root-to-leaf path whose node values total the target using a preorder traversal that passes sums down the tree.
Solve the jump game by tracking the maximum reachable index while scanning the nums array from index 0. Return true if maximum reachable reaches the last index; otherwise return false.
Master the longest increasing subsequence problem with a bottom-up dynamic programming approach, defining subsequences, computing dp values ending at each index, and achieving O(n^2) time complexity.
Color the starting pixel and flood fill all connected pixels in four directions: top, bottom, left, and right, using DFS (or BFS), with Java, Python, JavaScript, and C++ implementations.
Use Dijkstra's algorithm to compute the minimum time for a signal to reach all nodes in a weighted directed graph built from travel times, returning the farthest distance or -1.
Learn to sort an array of zeros, ones, and twos in place using a two-pointer approach that moves zeros left and twos right, leaving ones in the middle.
explore binary search to maximize the minimum distance between balls placed in sorted basket positions, using a greedy feasibility check to decide distance.
Explore an efficient Sudoku validator that uses row, column, and 3x3 grid sets to ensure no repeated digits, even on partially filled boards.
learn how to solve the sliding window maximum problem by maintaining a deque of candidate indices to track the maximum in each window of size k, achieving linear time.
Learn to merge intervals in javascript by sorting by start times, merging overlapping intervals into non-overlapping ranges, and building the final answer with min start and max end.
Sort intervals by start times, tie-break with end times, then merge overlapping intervals into non-overlapping ranges; the C++ solution runs in O(n log n) time.
Master the two sum problem with a hash table that stores seen numbers and their indices to find the complement for the target, returning two distinct indices without reusing elements.
Learn the two sum problem solved with a hash table in c++, returning the indices of two numbers that add to the target using a complement lookup.
Master finding the lowest common ancestor in a binary search tree by traversing from the root, guiding left when both targets are smaller, right when larger, and returning the ancestor.
Rotate a given n x n matrix by 90 degrees in place using a two-step approach: transpose the matrix, then reverse each row, implemented in Java without extra space.
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This course is designed to focus on the top problems commonly asked during Amazon interview rounds, preparing you thoroughly for any challenge that comes your way.
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In this course, you'll:
Dive into carefully curated collections of the most frequently asked coding problems in Amazon interviews, ensuring you're fully prepared. I’ve hand-picked them for you, so you can focus on solving and understanding concepts.
Follow along with detailed step-by-step video solutions, where I'll guide you through each problem from start to finish. You'll witness the entire problem-solving process, gaining a deep understanding of concepts as we go.
Get access to a collection of carefully selected LeetCode questions aimed at boosting your proficiency in data structure and algorithm challenges, ideal for Amazon coding rounds.
Choose from video solutions in four popular programming languages: Java, C++, Python, and JavaScript. This way, you can master these problems with ease in the language you're most comfortable with.
Access downloadable code files for every problem, allowing you to analyze and dissect the code at your own pace, ensuring a thorough comprehension of each solution.
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Who this course is for:
Software developers gearing up for Amazon coding interviews
Developers aspiring to work as software developers at Amazon
Developers looking to sharpen their skills with LeetCode questions commonly asked in Amazon interviews
Those eager to practice LeetCode problems in Java, JavaScript, C++, or Python languages