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LeetCode 121: Best Time to Buy and Sell Stock.
🚀 Cracking LeetCode 121: Best Time to Buy and Sell Stock.
🔗 Link: leetcode.com/problems/best-time-to-buy-and-sell-stock
(Search: LC 121)
⚠️ The Common Mistake:
Most people start with brute force:
Try every buy-sell pair → O(n²)
It works… but doesn’t scale.
🔍 Did you catch the optimization?
Instead of checking all combinations, track the minimum price seen so far.
At each step:
profit = current price - min so far
This converts the problem into a single pass solution.
💡 The Optimal Approach:
int buy = prices[0];
for each price:
→ update minimum (buy)
→ calculate profit
→ update maxProfit
No nested loops. No extra space.
🔥 The Interviewer’s Edge (Java Logic):
You’re not just finding profit.
You’re maintaining:
👉 “best buying opportunity till now”
This is a classic greedy pattern:
Make the best decision using past information — in one pass.
🧠 Pattern Recognition:
Whenever you see:
maximize profit
order matters (buy before sell)
👉 Think:
“track minimum so far”
Expert Cheat Sheet:
✅ TC: O(n) — Single traversal
✅ SC: O(1) — Constant space
Key Takeaway:
Brute force finds answers.
Greedy thinking finds scalable solutions.
Brute force ➔ Smart decisions ➔ One pass.
Follow @DesignAndAlgo for daily DSA mastery 💻
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.
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#DesignAndAlgo #JavaDeveloper #LeetCode #SystemDesign #SoftwareEngineer #CodingInterview #FAANG #DataStructures #Algorithms #BackendEngineering #JavaProgramming #CleanCode #TechInterviews #100DaysOfCode #BigTech #ProgrammingLife #GreedyAlgorithm #StockProblem #LogicBuilding #ComputerScience
Видео LeetCode 121: Best Time to Buy and Sell Stock. канала DesignAndAlgo
🔗 Link: leetcode.com/problems/best-time-to-buy-and-sell-stock
(Search: LC 121)
⚠️ The Common Mistake:
Most people start with brute force:
Try every buy-sell pair → O(n²)
It works… but doesn’t scale.
🔍 Did you catch the optimization?
Instead of checking all combinations, track the minimum price seen so far.
At each step:
profit = current price - min so far
This converts the problem into a single pass solution.
💡 The Optimal Approach:
int buy = prices[0];
for each price:
→ update minimum (buy)
→ calculate profit
→ update maxProfit
No nested loops. No extra space.
🔥 The Interviewer’s Edge (Java Logic):
You’re not just finding profit.
You’re maintaining:
👉 “best buying opportunity till now”
This is a classic greedy pattern:
Make the best decision using past information — in one pass.
🧠 Pattern Recognition:
Whenever you see:
maximize profit
order matters (buy before sell)
👉 Think:
“track minimum so far”
Expert Cheat Sheet:
✅ TC: O(n) — Single traversal
✅ SC: O(1) — Constant space
Key Takeaway:
Brute force finds answers.
Greedy thinking finds scalable solutions.
Brute force ➔ Smart decisions ➔ One pass.
Follow @DesignAndAlgo for daily DSA mastery 💻
.
.
.
#DesignAndAlgo #JavaDeveloper #LeetCode #SystemDesign #SoftwareEngineer #CodingInterview #FAANG #DataStructures #Algorithms #BackendEngineering #JavaProgramming #CleanCode #TechInterviews #100DaysOfCode #BigTech #ProgrammingLife #GreedyAlgorithm #StockProblem #LogicBuilding #ComputerScience
Видео LeetCode 121: Best Time to Buy and Sell Stock. канала DesignAndAlgo
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3 мая 2026 г. 17:39:39
00:03:04
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