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Solutions & Explanations

Browse 4,030+ detailed solutions with multiple approaches, code in Python, Java, C++ and more.

4,030 Solutions961 Easy2102 Medium967 Hard
#2851Hard

String Transformation

Dynamic ProgrammingMathString+1

Acceptance: 27.4%

#2852Medium

Sum of Remoteness of All Cells

ArrayBreadth-First SearchDepth-First Search+3

Acceptance: 70.8%

#2853Easy

Highest Salaries Difference

Database

Acceptance: 73.5%

#2854Medium

Rolling Average Steps

Database

Acceptance: 67.8%

#2855Easy

Minimum Right Shifts to Sort the Array

Array

Acceptance: 57.6%

#2856Medium

Minimum Array Length After Pair Removals

ArrayBinary SearchCounting+3

Acceptance: 27.8%

#2857Medium

Count Pairs of Points With Distance k

ArrayBit ManipulationHash Table

Acceptance: 32.9%

#2858Hard

Minimum Edge Reversals So Every Node Is Reachable

Breadth-First SearchDepth-First SearchDynamic Programming+1

Acceptance: 59.6%

#2859Easy

Sum of Values at Indices With K Set Bits

ArrayBit Manipulation

Acceptance: 86.0%

#2860Medium

Happy Students

ArrayEnumerationSorting

Acceptance: 50.9%

#2861Medium

Maximum Number of Alloys

ArrayBinary Search

Acceptance: 41.2%

#2862Hard

Maximum Element-Sum of a Complete Subset of Indices

ArrayMathNumber Theory

Acceptance: 42.3%

#2863Medium

Maximum Length of Semi-Decreasing Subarrays

ArrayMonotonic StackSorting+1

Acceptance: 70.5%

#2864Easy

Maximum Odd Binary Number

GreedyMathString

Acceptance: 83.0%

#2865Medium

Beautiful Towers I

ArrayMonotonic StackStack

Acceptance: 44.4%

#2866Medium

Beautiful Towers II

ArrayMonotonic StackStack

Acceptance: 36.9%

#2867Hard

Count Valid Paths in a Tree

Depth-First SearchDynamic ProgrammingMath+2

Acceptance: 36.2%

#2868Hard

The Wording Game

ArrayGame TheoryGreedy+3

Acceptance: 53.6%

#2869Easy

Minimum Operations to Collect Elements

ArrayBit ManipulationHash Table

Acceptance: 62.2%

#2870Medium

Minimum Number of Operations to Make Array Empty

ArrayCountingGreedy+1

Acceptance: 61.9%

#2871Medium

Split Array Into Maximum Number of Subarrays

ArrayBit ManipulationGreedy

Acceptance: 42.4%

#2872Hard

Maximum Number of K-Divisible Components

Depth-First SearchTree

Acceptance: 74.1%

#2873Easy

Maximum Value of an Ordered Triplet I

Array

Acceptance: 58.2%

#2874Medium

Maximum Value of an Ordered Triplet II

Array

Acceptance: 56.4%

#2875Medium

Minimum Size Subarray in Infinite Array

ArrayHash TablePrefix Sum+1

Acceptance: 32.1%

#2876Hard

Count Visited Nodes in a Directed Graph

Dynamic ProgrammingGraphMemoization

Acceptance: 31.6%

#2877Easy

Create a DataFrame from List

Acceptance: 81.3%

#2878Easy

Get the Size of a DataFrame

Acceptance: 85.0%

#2879Easy

Display the First Three Rows

Acceptance: 93.0%

#2880Easy

Select Data

Acceptance: 79.2%

#2881Easy

Create a New Column

Acceptance: 90.1%

#2882Easy

Drop Duplicate Rows

Acceptance: 85.6%

#2883Easy

Drop Missing Data

Acceptance: 64.1%

#2884Easy

Modify Columns

Acceptance: 92.2%

#2885Easy

Rename Columns

Acceptance: 85.4%

#2886Easy

Change Data Type

Acceptance: 87.3%

#2887Easy

Fill Missing Data

Acceptance: 72.0%

#2888Easy

Reshape Data: Concatenate

Acceptance: 90.6%

#2889Easy

Reshape Data: Pivot

Acceptance: 82.9%

#2890Easy

Reshape Data: Melt

Acceptance: 86.1%

#2891Easy

Method Chaining

Acceptance: 76.3%

#2892Medium

Minimizing Array After Replacing Pairs With Their Product

ArrayDynamic ProgrammingGreedy

Acceptance: 40.6%

#2893Medium

Calculate Orders Within Each Interval

Database

Acceptance: 67.2%

#2894Easy

Divisible and Non-divisible Sums Difference

Math

Acceptance: 91.0%

#2895Medium

Minimum Processing Time

ArrayGreedySorting

Acceptance: 70.3%

#2896Medium

Apply Operations to Make Two Strings Equal

Dynamic ProgrammingString

Acceptance: 27.7%

#2897Hard

Apply Operations on Array to Maximize Sum of Squares

ArrayBit ManipulationGreedy+1

Acceptance: 43.5%

#2898Medium

Maximum Linear Stock Score

ArrayHash Table

Acceptance: 61.7%

#2899Easy

Last Visited Integers

ArraySimulation

Acceptance: 62.2%

#2900Easy

Longest Unequal Adjacent Groups Subsequence I

ArrayDynamic ProgrammingGreedy+1

Acceptance: 67.0%

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Master DSA with Step-by-Step Solutions

Each solution article on FleetCode breaks down the problem into multiple approaches, from brute force to optimal, with detailed explanations and code in Python, Java, C++ and more. Understanding why an approach works - not just copying code - is what separates candidates who clear interviews from those who don't.

How to Use These Solutions

  • Try the problem first: Spend at least 20 minutes before reading the solution
  • Read all approaches: Start from brute force to understand the problem fully, then study the optimized solution
  • Understand the complexity: Pay attention to time and space analysis for each approach
  • Code it yourself: After understanding the approach, close the solution and implement from memory
  • Revisit after a week: Spaced repetition helps retain problem-solving patterns