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Conquer the JavaScript Interview: Trapping Rainwater [Intermediate Skill Level]
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This is a part of my Algorithms and Data Structures playlist series. We cover a lot of common interview questions asked during whiteboards for entry level developers. Learning to master these takes time, practice, and pattern recognition. So I'll be helping you equip a toolbelt and filling it with as many tools as I can to help prepare you crush those interviews! Remember: "Luck is where practice meets opportunity."
In today's video, we're diving deep into the "Trapping Rainwater" problem. We're going to understand it, conquer it, and learn the efficient two-pointer approach to solve it. This algorithm is a popular interview question and a great way to improve your problem-solving skills.
The "Trapping Rainwater" problem is all about calculating the maximum amount of rainwater that can be trapped between the bars represented by the elements of an array. 💧🏔️
We'll be using the two-pointer approach, one of the most powerful techniques for solving problems with linear time complexity. Our two pointers, left and right, will start at the ends of the array and move towards each other. As they traverse the array, they'll keep track of the maximum heights they've encountered and calculate the amount of trapped water.
Not only will this problem help you master the two-pointer technique, but it's also a fantastic introduction to dynamic programming, spatial and volume calculations, resource allocation scenarios, and histogram problems.
Join us in this coding adventure and let's trap some rainwater! 💻🌧️
Don't forget to like this video and subscribe to our channel – we're publishing more videos and walkthroughs every week. Comment below and let us know what you'd like to see next!
#algorithms #javascript #interview #interviewtips #codinginterview #programmingchallenge #problemsolving #twopointer #trappingrainwater #rainwater
This is a part of my Algorithms and Data Structures playlist series. We cover a lot of common interview questions asked during whiteboards for entry level developers. Learning to master these takes time, practice, and pattern recognition. So I'll be helping you equip a toolbelt and filling it with as many tools as I can to help prepare you crush those interviews! Remember: "Luck is where practice meets opportunity."
In today's video, we're diving deep into the "Trapping Rainwater" problem. We're going to understand it, conquer it, and learn the efficient two-pointer approach to solve it. This algorithm is a popular interview question and a great way to improve your problem-solving skills.
The "Trapping Rainwater" problem is all about calculating the maximum amount of rainwater that can be trapped between the bars represented by the elements of an array. 💧🏔️
We'll be using the two-pointer approach, one of the most powerful techniques for solving problems with linear time complexity. Our two pointers, left and right, will start at the ends of the array and move towards each other. As they traverse the array, they'll keep track of the maximum heights they've encountered and calculate the amount of trapped water.
Not only will this problem help you master the two-pointer technique, but it's also a fantastic introduction to dynamic programming, spatial and volume calculations, resource allocation scenarios, and histogram problems.
Join us in this coding adventure and let's trap some rainwater! 💻🌧️
Don't forget to like this video and subscribe to our channel – we're publishing more videos and walkthroughs every week. Comment below and let us know what you'd like to see next!
#algorithms #javascript #interview #interviewtips #codinginterview #programmingchallenge #problemsolving #twopointer #trappingrainwater #rainwater
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