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Partition Labels - LeetCode 763 - Coding Interview Questions

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The problem is that they give you a string, and they ask you to partition it into as many parts as possible so that each letter appears in at most one part. and return a list of integers that represents the size of these parts
To solve this problem we gonna use the sliding window Technique, so the window gonna have a start and end pointers, then we gonna iterate through the string, and at each time we check if the character is already in the window or not.
Next, we present the solution and walk you through the code step by step, highlighting the key points and explaining the logic behind each part of the solution.
Whether you are preparing for a technical interview or just looking to improve your coding skills, this video is a great resource.
If you found this video helpful, like, subscribe, comment.
#codinginterview #leetcodedailychallenge #codinginterviewquestions #leetcode #leetcodesolution
---- ----
Intro : (0:00)
Sliding Window Solution : (0:34)
Code Explanation : (2:59)
Complexity Analysis : (3:56)
The problem is that they give you a string, and they ask you to partition it into as many parts as possible so that each letter appears in at most one part. and return a list of integers that represents the size of these parts
To solve this problem we gonna use the sliding window Technique, so the window gonna have a start and end pointers, then we gonna iterate through the string, and at each time we check if the character is already in the window or not.
Next, we present the solution and walk you through the code step by step, highlighting the key points and explaining the logic behind each part of the solution.
Whether you are preparing for a technical interview or just looking to improve your coding skills, this video is a great resource.
If you found this video helpful, like, subscribe, comment.
#codinginterview #leetcodedailychallenge #codinginterviewquestions #leetcode #leetcodesolution
---- ----
Intro : (0:00)
Sliding Window Solution : (0:34)
Code Explanation : (2:59)
Complexity Analysis : (3:56)