
We examine the container with the most water problem by treating the array as vertical lines and picking two walls to maximize area. Area equals width times the minimum height.
Apply the two-pointer technique to optimize the container with the most water problem, moving the pointer at the smaller wall to maximize area and reduce time complexity.
Implement a two-pointer solution in C++ to maximize the container area by updating max area with min(height[L], height[R])*(R-L) and moving the smaller height pointer until left and right pointers meet.
Identify an increasing subsequence followed by a decreasing subsequence by scanning with a loop, track where the increasing part ends, and ensure the sequence extends to the array end.
Move zeros to the end while preserving the relative order of non-zero elements, then explore a brute-force approach using an auxiliary array and zero padding.
Explore a brute force approach that builds an output array of non-zero elements in order, then appends zeros, with linear time and O(n) space.
implement the move zeros function to relocate non-zero elements to the front of the array, preserving their order, and fill the remainder with zeros in place, with no extra space.
Walk through the pseudocode to learn a brute-force method for the longest substring without repeating characters, then apply sliding window optimization with left and right pointers and a seen map.
Implement a function that returns the length of the longest unique substring using a sliding window and a hash map, updating left and right pointers and answer as you traverse.
Explore a brute force pseudocode walkthrough that uses forward and backward scans to locate first and last indices of a target in an array, with O(n) time and O(1) space.
Learn to locate the first and last occurrences of a target in a sorted array using binary search, with precise boundary checks and returning [first, last] indices.
Explore the brute force approach to find the missing number in a range by sorting the input and inspecting consecutive elements to detect a gap, then return the missing value.
Present a better approach to find the missing number from 0 to n in a distinct array by using a hash map for constant-time lookups, achieving O(n) time.
Compute the missing number by summing the input and comparing to Gauss's formula for zero to n. Subtract to reveal and return the missing value; full code is in repository.
Want to master popular problem-solving techniques, data structures, and algorithms that interviewers love? Dive right in!
Crave step-by-step explanations for the industry's hottest interview questions? We've got you covered.
Looking to up your game in competitive programming? Buckle up for a thrilling journey!
Welcome to the course!
In this course, you'll have a detailed, step by step explanation of hand-picked LeetCode questions where you'll learn about the most popular techniques and problems used in the coding interview, This is the course I wish I had when I was doing my interviews. and it comes with a 30-day money-back guarantee
What is LeetCode?
LeetCode is essentially a huge repository of real interview questions asked by the most popular tech companies ( Google, Amazon, Facebook, Microsoft, and more ).
The problem with LeetCode is also its advantage, IT'S HUGE, so huge in fact that interviewers from the most popular companies often directly ask questions they find on LeetCode, So it's hard to navigate through the huge amount of problems to find those that really matter, this is what this course is for.
I spent countless hours on LeetCode and I'm telling you that you don't have to do the same and still be able to get a job at a major tech company.
Course overview :
In this course, I compiled the most important and the most popular interview questions asked by these major companies and I explain them, in a true STEP BY STEP fashion to help you understand exactly how to solve these types of questions.
The problems are handpicked to ensure complete coverage of the most popular techniques, data structures, and algorithms used in interviews so you can generalise the patterns you learn here on other problems.
Each problem gets multiple videos :
Explanation and intuition video(s): we do a detailed explanation of the problems and its solution, this video will be longer because we will do a step by step explanation for the problems.
Coding video(s): where we code the solution discussed in the explanation video together.
Walkthrough video(s): where we go over each line of code and see what it does
We will use basic c++ for this course to code our solutions, previous knowledge in c++ is preferred but NOT required for the coding part of the course.
The problems are categorised for easier navigation and will be regularly updated with more popular and interesting problems.
Some of the stuff this course will cover are :
Arrays and Strings interview questions.
Searching interview questions and algorithms.
Dynamic Programming interview questions.
Backtracking interview questions ( With step by step visualisation ).
Trees and Graphs interview questions and algorithms.
Data structures Like Stacks, Queues, Maps, Linked Lists, and more.
In other words, this course is your one-stop-shop for your dream job.