Solutions & Explanations
Browse 4,030+ detailed solutions with multiple approaches, code in Python, Java, C++ and more.
String Transformation
Acceptance: 27.4%
Sum of Remoteness of All Cells
Acceptance: 70.8%
Highest Salaries Difference
Acceptance: 73.5%
Rolling Average Steps
Acceptance: 67.8%
Minimum Right Shifts to Sort the Array
Acceptance: 57.6%
Minimum Array Length After Pair Removals
Acceptance: 27.8%
Count Pairs of Points With Distance k
Acceptance: 32.9%
Minimum Edge Reversals So Every Node Is Reachable
Acceptance: 59.6%
Sum of Values at Indices With K Set Bits
Acceptance: 86.0%
Happy Students
Acceptance: 50.9%
Maximum Number of Alloys
Acceptance: 41.2%
Maximum Element-Sum of a Complete Subset of Indices
Acceptance: 42.3%
Maximum Length of Semi-Decreasing Subarrays
Acceptance: 70.5%
Maximum Odd Binary Number
Acceptance: 83.0%
Beautiful Towers I
Acceptance: 44.4%
Beautiful Towers II
Acceptance: 36.9%
Count Valid Paths in a Tree
Acceptance: 36.2%
The Wording Game
Acceptance: 53.6%
Minimum Operations to Collect Elements
Acceptance: 62.2%
Minimum Number of Operations to Make Array Empty
Acceptance: 61.9%
Split Array Into Maximum Number of Subarrays
Acceptance: 42.4%
Maximum Number of K-Divisible Components
Acceptance: 74.1%
Maximum Value of an Ordered Triplet I
Acceptance: 58.2%
Maximum Value of an Ordered Triplet II
Acceptance: 56.4%
Minimum Size Subarray in Infinite Array
Acceptance: 32.1%
Count Visited Nodes in a Directed Graph
Acceptance: 31.6%
Create a DataFrame from List
Acceptance: 81.3%
Get the Size of a DataFrame
Acceptance: 85.0%
Display the First Three Rows
Acceptance: 93.0%
Select Data
Acceptance: 79.2%
Create a New Column
Acceptance: 90.1%
Drop Duplicate Rows
Acceptance: 85.6%
Drop Missing Data
Acceptance: 64.1%
Modify Columns
Acceptance: 92.2%
Rename Columns
Acceptance: 85.4%
Change Data Type
Acceptance: 87.3%
Fill Missing Data
Acceptance: 72.0%
Reshape Data: Concatenate
Acceptance: 90.6%
Reshape Data: Pivot
Acceptance: 82.9%
Reshape Data: Melt
Acceptance: 86.1%
Method Chaining
Acceptance: 76.3%
Minimizing Array After Replacing Pairs With Their Product
Acceptance: 40.6%
Calculate Orders Within Each Interval
Acceptance: 67.2%
Divisible and Non-divisible Sums Difference
Acceptance: 91.0%
Minimum Processing Time
Acceptance: 70.3%
Apply Operations to Make Two Strings Equal
Acceptance: 27.7%
Apply Operations on Array to Maximize Sum of Squares
Acceptance: 43.5%
Maximum Linear Stock Score
Acceptance: 61.7%
Last Visited Integers
Acceptance: 62.2%
Longest Unequal Adjacent Groups Subsequence I
Acceptance: 67.0%
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