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Beats 99% Medium. LeetCode 838. Push Dominoes. Python3 Algorithms: Two Pointers with Greedy
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🚀 Push Dominoes – Two Pointers & Greedy Strategy Explained with a Story!
Tackled LeetCode 838: Push Dominoes – where each domino's fate depends on the forces from its neighbors. I solved it with a Greedy + Two Pointers approach.
Story
In a peaceful little village, all the dominoes stood upright in a single line, proud and still. One day, a playful gust of wind whispered from the left, pushing a few dominoes to the right (R). Another wind blew from the opposite side, toppling others to the left (L). Panic broke out. Each domino, like a villager, had just one rule: if someone falls beside you, follow them unless someone else pushes from the other side at the same time—then stand your ground.
Inspired by The ONE Thing, where focus leads to powerful results, each domino's fate depends only on what comes before and after. The algorithm in our code focuses on just one thing at a time—what the previous force was (R, L, or .), how many undecided dots we've walked through, and how to assign the right final state. Rather than overcomplicating with multiple passes or physics simulations, it simplifies the chain reaction by thinking linearly and locally—handling one relationship at a time, like a calm decision made after understanding what's pushing you.
The end result? No wasted motion, just pure logic—like productivity flowing from focus.
🔹 Key Strategy:
✅ Main technique: Greedy + Two Pointers
✅ Optimization: Linear scan with force tracking (no simulation needed)
✅ Key learning: Sometimes, clarity comes from thinking locally—not globally.
🧑💻 Dive into the full breakdown here:
Isn’t it cool how a local force can change the outcome for the entire line? 🤔
Have you tried solving domino-style problems before? Yes or No?
#Algorithms #DataStructures #LeetCode #Programming #Coding #CodingInterview #dailycoding #Python #JavaScript #TwoPointers #Greedy
Tackled LeetCode 838: Push Dominoes – where each domino's fate depends on the forces from its neighbors. I solved it with a Greedy + Two Pointers approach.
Story
In a peaceful little village, all the dominoes stood upright in a single line, proud and still. One day, a playful gust of wind whispered from the left, pushing a few dominoes to the right (R). Another wind blew from the opposite side, toppling others to the left (L). Panic broke out. Each domino, like a villager, had just one rule: if someone falls beside you, follow them unless someone else pushes from the other side at the same time—then stand your ground.
Inspired by The ONE Thing, where focus leads to powerful results, each domino's fate depends only on what comes before and after. The algorithm in our code focuses on just one thing at a time—what the previous force was (R, L, or .), how many undecided dots we've walked through, and how to assign the right final state. Rather than overcomplicating with multiple passes or physics simulations, it simplifies the chain reaction by thinking linearly and locally—handling one relationship at a time, like a calm decision made after understanding what's pushing you.
The end result? No wasted motion, just pure logic—like productivity flowing from focus.
🔹 Key Strategy:
✅ Main technique: Greedy + Two Pointers
✅ Optimization: Linear scan with force tracking (no simulation needed)
✅ Key learning: Sometimes, clarity comes from thinking locally—not globally.
🧑💻 Dive into the full breakdown here:
Isn’t it cool how a local force can change the outcome for the entire line? 🤔
Have you tried solving domino-style problems before? Yes or No?
#Algorithms #DataStructures #LeetCode #Programming #Coding #CodingInterview #dailycoding #Python #JavaScript #TwoPointers #Greedy
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