#Leetcode #200. Number of #Islands || Code + Explanation

Given an m x n 2D binary grid grid which represents a map of '1's (land) and '0's (water), return the number of islands.

An island is surrounded by water and is formed by connecting adjacent lands horizontally or vertically. You may assume all four edges of the grid are all surrounded by water.



Example 1:

Input: grid = [
["1","1","1","1","0"],
["1","1","0","1","0"],
["1","1","0","0","0"],
["0","0","0","0","0"]
]
Output: 1
Example 2:

Input: grid = [
["1","1","0","0","0"],
["1","1","0","0","0"],
["0","0","1","0","0"],
["0","0","0","1","1"]
]
Output: 3

[samrat]

exceptional explanation. Found it very useful. Thank you

[sanskarkapoor]

Most underrated channel i must say
Keep growing!!!

[vishalchaurasia]

Easy to learn and straightforward to apply. Thankyou!

[viisharma]

Ty for the solution, very nicely explained.

[arifrubayet]

Great, explanation! Loved it. <3 <3

[DHIRAJKUMAR-iwdj]

after wasting a lot of time & then watching your video two times every thing gets clear thank u mam

[manjitKK]

Alisha I am your fan now
The way you explain such problems and how can i forget the pecific and Atlantic ocean problem the explanation was mind blowing I just loved the explanation the way you explain the iterations really appreciated
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[rachitbadoni]

Leetcode m iska example hi clear Nhi horha tha ki yé Bolna kya chate hain😂....after watching thé example Here i have implemented thé code on myself. 😁

[manan.jain]

Your solution is having Time complexity O(n^2) , How we can optimised it ??

[chandrasekharreddymuthumul]

How to calculate the time complexity of this one?

[bellanatrisha]

its showing runtime error ..can u please tell why?