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LeetCode Easy Problems 50

(a.k.a. The Illusion of Simplicity)

Welcome to LeetCode Easy — where problems look friendly… until you realize you’ve spent two hours debugging a typo in your “two-sum” function.

Think of this as Algorithm Kindergarten — it’s colorful, gentle, and still occasionally soul-crushing.


🎯 What “Easy” Actually Means

  • You think it’s easy.

  • You start coding confidently.

  • You realize the edge cases are plotting against you.

  • You reread the question 5 times.

  • You cry a little.

  • Then you finally get “Accepted” — and feel like you deserve a PhD.


🧩 Classic Easy Problems

ProblemConceptComedy Summary
Two SumHash Map“Find two numbers that add up. Sounds easy. Until it’s not.”
Valid ParenthesesStack“The only time brackets matter more than emotions.”
Merge Two Sorted ListsLinked List“Basically Tinder for numbers — two lists find love.”
Maximum SubarrayKadane’s Algorithm“Find happiness in consecutive chaos.”
Reverse Linked ListPointer manipulation“A spiritual journey in reverse.”
Best Time to Buy and Sell StockGreedy algorithm“Buy low, sell high — capitalism in Python form.”
Palindrome NumberMath“Check if a number reads the same both ways. Like 121 or mom.”
Fibonacci NumberRecursion or DP“Where everyone learns why recursion cries for help.”

💡 Easy Doesn’t Mean Pointless

Each “Easy” problem is a warm-up for harder algorithms. You’re not just coding — you’re training your brain to see patterns.

Pro Tip: When you can solve Two Sum in your sleep, you’re halfway to enlightenment. When you can do it without Googling, you’re a Jedi. 🧘‍♂️


“LeetCode Easy is like the tutorial level in a video game — but you still manage to die a few times.” 🎮


# Your code here

Exercises

Exercise

Implement the classic two_sum(nums, target) that returns indices of the two numbers adding to target. Use a hash table for O(n) time.