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‎day-28/README.md‎

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# Day 28
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## ⭐️ Longest Common Prefix – 28.1
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### 🔗 Problem
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[LeetCode #14 – Longest Common Prefix](https://leetcode.com/problems/longest-common-prefix/)
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### 🧠 Core Idea
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Choose the first word as a baseline and compare its characters across all other words, stopping when a mismatch is found or one of the words ends.
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The substring up to that point is the longest common prefix.
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This ensures we only check as far as characters match, giving an efficient early termination strategy.
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### 📊 Example
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Input: strs = \["flower","flow","flight"]
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Output: `"fl"`
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### ⏱️ Complexity
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- Time: O(S) – where S is the total number of characters across all strings (early exit possible)
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- Space: O(1) – Constant space usage
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👉 See full code in [longest_common_prefix.py](https://github.com/lyushher/LeetCode-Python-Easy-DSA/blob/main/day-28/longest_common_prefix.py)
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---
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## ⭐️ Keyboard Row – 28.2
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### 🔗 Problem
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[LeetCode #500 – Keyboard Row](https://leetcode.com/problems/keyboard-row/)
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### 🧠 Core Idea
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Each keyboard row can be represented as a set of letters.
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For each word, convert its letters into a set and check if it is a subset of any row set.
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If yes, the word can be typed using letters from one row only.
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### 📊 Example
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Input: words = \["Hello","Alaska","Dad","Peace"]
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Output: \["Alaska","Dad"]
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### ⏱️ Complexity
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- Time: O(n·k) – n = number of words, k = average length of each word
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- Space: O(1) – Only three row sets used
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👉 See full code in [keyboard_row.py](https://github.com/lyushher/LeetCode-Python-Easy-DSA/blob/main/day-28/keyboard_row.py)

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