Majority Element - LeetCode #169 - O(n) and O(1) space with Python, JavaScript, Java, C++

Let's solve LeetCode #169 Majority Element!

In this video, we delve into the intriguing problem of Majority Element. Learn how to efficiently identify the Majority Element within an array of integers, where the Majority Element appears more than ⌊ n/2 ⌋ times. We'll discuss the algorithmic approach, explore various techniques, and provide insightful examples to clarify concepts. Whether you're a beginner or an experienced programmer, this video offers valuable insights into the Majority Element problem, empowering you to tackle similar challenges effectively. Join us on a journey to understand the essence of the Majority Element problem and enhance your problem-solving skills today!

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■ Problem Link

■ Related question - Majority Element Ⅱ

■ Python Code in the video

■ Playlists

0:00 Read the question of Majority Element
1:21 Explain a basic idea to solve Majority Element with HashMap
5:13 Coding with HashMap
7:20 Explain a basic idea to solve Majority Element with O(1) space
15:47 Coding with O(1) space
16:43 Summarize the algorithm of Majority Element

#leetcode #python #array #array #hash

[taranbarber]

I appreciate the organization of the video!

The simple explanations you provide at the end are very helpful too. Being able to do this during an interview is very important.

[jashwanthbavandlapalli]

That was really good explanation. Thank you so much sir!!

[mysss]

Very nice, how did you come up with the second solution?

[Brokenrocktail]

this isnt O(1) if you are iterating through an array.