
Walk through the pseudocode to implement a two-pointer solution that uses the min height of the left and right pointers to compute the max container area.
Learn the optimal move zeros solution: set j to zero, move non-zero elements forward, then fill the rest with zeros; time is n plus m and space is constant.
Explore a pseudocode walkthrough of finding the longest substring without repeating characters, starting from brute force to a sliding window solution using a seen characters map.
Explore the sliding window approach to the longest substring without repeating characters by using two pointers and a last seen map to update the window and maximize length.
Demonstrate a binary search using two pointers and mid to locate the first and last occurrences of a target in a sorted array.
Develop functions to find first and last positions of a target in a sorted array using binary search, returning the two positions as an array or -1 if not present.
Master the optimal solution for finding the first bad version by applying binary search. Use isBadVersion, halve the search range, and return the first bad version efficiently.
Apply a binary search using two pointers to locate the first bad version with a given isBadVersion API, halving the search range and achieving O(log n) time and O(1) space.
Implement the missing number function by tallying the input numbers, computing the total with Gauss's formula n(n+1)/2, and returning the difference as the missing number.
Walk through a pseudocode brute-force prime check from two to n, using an is prime flag and a divisibility loop, then analyze time complexity O(n^2) and space O(1).
Implement the optimal approach by iterating the input, initializing a zero result, and applying bitwise XOR to isolate the single number using XOR properties.
Getting ready for your software engineering coding interview? This is the place for you.
Want to learn about the most popular problem-solving techniques, patterns, data structures, and algorithms used in those difficult interviews? Come on in
Want a step by step explanation of the most popular interview questions in the industry? You got it.
Want to get better at competitive programming? Enjoy the ride
Welcome to the course!
In this course, you'll have a detailed, step by step explanation 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 generalize 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 Java for this course to code our solutions, previous knowledge in Java 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 call stack 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.