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LeetCode Pattern/Prefix Sum/Prefix Sum Learning Roadmap: From Beginner to Interview-Ready in 6 Weeks

Prefix Sum Learning Roadmap: From Beginner to Interview-Ready in 6 Weeks

LeetCopilot Team
Dec 22, 2025
16 min read
Prefix SumLearning RoadmapStudy PlanInterview PrepPractice Guide
A structured 6-week learning path to master all prefix sum patterns. Progress from basic 1D sums to advanced 2D matrices, hash maps, and difference arrays with curated problems and milestones.

You want to master prefix sum, but where do you start? Should you learn 1D first or jump to hash maps? How do you progress from basic range queries to complex subarray problems?

This roadmap answers all those questions. It's a structured 6-week learning path that takes you from zero to mastery, with curated problems, clear milestones, and a proven progression.

Follow this roadmap, and in 6 weeks, you'll confidently solve any prefix sum problem in interviews.

How to Use This Roadmap

Time Commitment

  • Beginner: 1-2 hours per day, 5 days per week
  • Intermediate: 2-3 hours per day, 5 days per week
  • Total: 6 weeks to interview-ready

Progression Philosophy

  1. Master 1D before moving to 2D
  2. Understand formulas before memorizing templates
  3. Solve problems in order (builds on previous knowledge)
  4. Debug systematically on every problem
  5. Compare patterns (prefix sum vs sliding window vs hash map)

Milestones

  • Week 2: Solve basic range query problems confidently
  • Week 3: Master subarray sum with hash maps
  • Week 4: Handle 2D matrices and difference arrays
  • Week 6: Interview-ready for any prefix sum problem

Phase 1: Foundations (Weeks 1-2)

Goal: Understand 1D prefix sum and solve basic range query problems.

Week 1: 1D Prefix Sum Basics

Concepts to Learn:

  • What is prefix sum and why it works
  • The prefix[0] = 0 padding trick
  • Range query formula: sum(i, j) = prefix[j+1] - prefix[i]
  • Off-by-one error prevention

Required Reading:

  1. Complete Prefix Sum Guide - Read sections 1-4
  2. 1D Prefix Sum Template
  3. Off-by-One Errors

Problems to Solve (5 problems):

#ProblemDifficultyKey Learning
1Range Sum Query - Immutable (#303)Easy ⭐Basic template
2Running Sum of 1d Array (#1480)Easy ⭐Building prefix array
3Find Pivot Index (#724)Easy ⭐Running sum variant
4Left and Right Sum Differences (#2574)EasyPrefix and suffix
5Find Middle Index (#1991)EasyPivot variant

Practice Template:

python
# Memorize this template
prefix = [0]
for num in nums:
    prefix.append(prefix[-1] + num)

# Query sum from i to j (inclusive)
sum_range = prefix[j+1] - prefix[i]

Checkpoint: Can you solve Range Sum Query without looking at solutions? Can you explain why we use prefix[0] = 0?

Week 2: Edge Cases and Debugging

Concepts to Learn:

  • Handling empty arrays
  • Single element arrays
  • Negative numbers
  • All zeros
  • Systematic debugging approach

Required Reading:

  1. Edge Cases
  2. Negative Numbers
  3. Pattern Recognition

Problems to Solve (6 problems):

#ProblemDifficultyKey Learning
6Product of Array Except Self (#238)Medium ⭐⭐Prefix product variant
7Maximum Average Subarray I (#643)EasyFixed window
8Sign of Product (#1822)EasyProduct variant
9Maximum Subarray (#53)MediumWhen NOT to use prefix sum
10Minimum Size Subarray Sum (#209)MediumSliding window comparison
11Range Addition (#370)MediumIntroduction to difference array

Debugging Checklist:

  • Check array size (n vs n+1)
  • Verify formula (prefix[j+1] - prefix[i])
  • Test with empty array
  • Test with single element
  • Test with negative numbers

Checkpoint: Can you debug a broken prefix sum solution in under 5 minutes?

Phase 2: Hash Map Combinations (Week 3)

Goal: Master prefix sum + hash map for subarray sum problems.

Week 3: Subarray Sum with Hash Maps

Concepts to Learn:

  • Why hash maps are needed for subarray problems
  • The {0: 1} initialization trick
  • Prefix sum - k lookup pattern
  • Counting vs finding longest

Required Reading:

  1. Prefix Sum + Hash Map Technique
  2. Hash Map Initialization
  3. Subarray Sum Debugging
  4. Prefix Sum vs Hash Map

Problems to Solve (8 problems):

#ProblemDifficultyKey Learning
12Subarray Sum Equals K (#560)Medium ⭐⭐⭐Core pattern
13Continuous Subarray Sum (#523)Medium ⭐⭐Modulo arithmetic
14Subarray Sums Divisible by K (#974)Medium ⭐⭐Negative remainders
15Contiguous Array (#525)Medium ⭐⭐Transform to sum = 0
16Maximum Size Subarray Sum Equals k (#325)MediumFinding longest
17Count Number of Nice Subarrays (#1248)MediumTransform problem
18Binary Subarrays With Sum (#930)MediumBinary variant
19Count Triplets (#1442)MediumXOR variant

Practice Template:

python
# Counting subarrays with sum = k
count = 0
prefix_sum = 0
sum_count = {0: 1}  # Critical initialization

for num in nums:
    prefix_sum += num
    if prefix_sum - k in sum_count:
        count += sum_count[prefix_sum - k]
    sum_count[prefix_sum] = sum_count.get(prefix_sum, 0) + 1

Checkpoint: Can you solve Subarray Sum Equals K from memory? Can you explain why {0: 1} is needed?

Phase 3: Advanced Patterns (Weeks 4-5)

Goal: Master 2D prefix sum, difference arrays, and variants.

Week 4: 2D Prefix Sum and Difference Arrays

Concepts to Learn:

  • 2D prefix sum construction
  • Inclusion-exclusion principle
  • 2D off-by-one errors
  • Difference arrays for range updates

Required Reading:

  1. 2D Prefix Sum Matrix
  2. 2D Off-by-One Errors
  3. Difference Array
  4. Difference Array Mistakes

Problems to Solve (7 problems):

#ProblemDifficultyKey Learning
20Range Sum Query 2D (#304)Medium ⭐⭐⭐2D template
21Matrix Block Sum (#1314)Medium ⭐⭐Boundary handling
22Number of Submatrices (#1074)Hard2D + hash map
23Corporate Flight Bookings (#1109)Medium ⭐⭐Difference array
24Car Pooling (#1094)Medium ⭐⭐Capacity checking
25Brightest Position (#2021)MediumEvent-based updates
26My Calendar III (#732)HardOverlapping events

2D Prefix Sum Template:

python
# Build 2D prefix sum
prefix = [[0] * (cols + 1) for _ in range(rows + 1)]
for r in range(1, rows + 1):
    for c in range(1, cols + 1):
        prefix[r][c] = (
            matrix[r-1][c-1] +
            prefix[r-1][c] +
            prefix[r][c-1] -
            prefix[r-1][c-1]  # Subtract overlap
        )

# Query rectangle sum
sum_rect = (
    prefix[row2+1][col2+1] -
    prefix[row1][col2+1] -
    prefix[row2+1][col1] +
    prefix[row1][col1]  # Add back corner
)

Difference Array Template:

python
# Apply range updates
diff = [0] * (n + 1)
for start, end, val in updates:
    diff[start] += val
    diff[end + 1] -= val

# Reconstruct with prefix sum
result = []
current = 0
for i in range(n):
    current += diff[i]
    result.append(current)

Checkpoint: Can you implement 2D prefix sum from memory? Can you explain the inclusion-exclusion formula?

Week 5: XOR, Product, and Comparisons

Concepts to Learn:

  • Prefix XOR for bit manipulation
  • Prefix product with zero handling
  • When to use prefix sum vs sliding window
  • When prefix sum fails

Required Reading:

  1. Prefix XOR and Product Variants
  2. Prefix Product Pitfalls
  3. Prefix Sum vs Sliding Window
  4. When Prefix Sum Fails

Problems to Solve (7 problems):

#ProblemDifficultyKey Learning
27XOR Queries of Subarray (#1310)Medium ⭐⭐Prefix XOR
28Maximum XOR (#421)MediumTrie + XOR
29Maximum Product Subarray (#152)MediumProduct variant
30Longest Substring Without Repeating (#3)MediumWhen to use sliding window
31Minimum Window Substring (#76)HardSliding window, not prefix
32Max Consecutive Ones III (#1004)MediumSliding window comparison
33Fruit Into Baskets (#904)MediumPattern selection

Decision Framework:

code
Question: What's the goal?

Multiple range queries?
  → Prefix Sum (1D or 2D)

Exact target sum + negatives?
  → Prefix Sum + Hash Map

Longest/shortest + positives?
  → Sliding Window

Range updates?
  → Difference Array

Maximum/minimum subarray?
  → Kadane's Algorithm

Checkpoint: Can you choose the right pattern in 30 seconds? Can you explain when NOT to use prefix sum?

Phase 4: Interview Mastery (Week 6)

Goal: Achieve interview-ready speed and confidence.

Week 6: Speed, Mock Interviews, and Review

Concepts to Learn:

  • Solving problems in under 20 minutes
  • Explaining solutions clearly
  • Handling follow-up questions
  • Time/space complexity justification

Required Reading:

  1. Complexity Analysis
  2. Review all debugging guides
  3. Review all comparison articles

Activities:

1. Mock Interviews (3 sessions)

  • Use LeetCopilot or peer
  • Solve 2-3 problems per session
  • Practice explaining your approach
  • Handle follow-up questions

2. Speed Drills (5 sessions)

  • Solve 3 easy problems in 30 minutes
  • Solve 2 medium problems in 40 minutes
  • Focus on first-attempt correctness

3. Final Challenge Problems (10 problems):

#ProblemDifficultyKey Learning
34Count Submatrices With All Ones (#1504)Medium2D prefix + DP
35Max Sum Rectangle (#363)Hard ⭐⭐⭐2D + Kadane's
36Largest Submatrix (#1727)Medium2D prefix variant
37Amount of New Area Painted (#2158)HardDifference array
38Range Module (#715)HardSegment tree comparison
39Subarrays with Bounded Maximum (#795)MediumComplex conditions
40Number of Substrings (#1358)MediumThree-character variant
41K Radius Subarray Averages (#2090)MediumFixed window
42Maximum Sum of Distinct Subarrays (#2461)MediumWindow + hash set
43Count Vowel Strings in Ranges (#2559)MediumMultiple queries

4. Review All Mistakes

  • Go through all solved problems
  • Identify common bug patterns
  • Create personal checklist
  • Review edge cases

Interview Simulation Checklist:

  • Explain approach before coding
  • Discuss time/space complexity
  • Handle edge cases explicitly
  • Test with examples
  • Optimize if asked

Checkpoint: Can you solve medium problems in under 15 minutes? Can you explain your solution clearly?

Supplementary Resources

Templates to Memorize

1. Basic 1D Prefix Sum

python
prefix = [0]
for num in nums:
    prefix.append(prefix[-1] + num)

sum_range = prefix[j+1] - prefix[i]

2. Prefix Sum + Hash Map

python
count = 0
prefix_sum = 0
sum_count = {0: 1}

for num in nums:
    prefix_sum += num
    if prefix_sum - k in sum_count:
        count += sum_count[prefix_sum - k]
    sum_count[prefix_sum] = sum_count.get(prefix_sum, 0) + 1

3. 2D Prefix Sum

python
# Build
prefix[r][c] = (
    matrix[r-1][c-1] +
    prefix[r-1][c] +
    prefix[r][c-1] -
    prefix[r-1][c-1]
)

# Query
sum = (
    prefix[row2+1][col2+1] -
    prefix[row1][col2+1] -
    prefix[row2+1][col1] +
    prefix[row1][col1]
)

4. Difference Array

python
# Update
diff[start] += val
diff[end + 1] -= val

# Reconstruct
current = 0
for i in range(n):
    current += diff[i]
    result.append(current)

Common Mistakes Checklist

  • Forgetting prefix[0] = 0 initialization
  • Using prefix[j] - prefix[i] instead of prefix[j+1] - prefix[i]
  • Not initializing hash map with {0: 1}
  • Updating hash map before checking (wrong order)
  • Forgetting to subtract overlap in 2D (inclusion-exclusion)
  • Using diff[end] instead of diff[end+1] in difference array
  • Not applying final prefix sum in difference array
  • Array size n instead of n+1

LeetCopilot Integration

Use LeetCopilot for:

  • Smart hints when stuck
  • Pattern recognition training
  • Debugging assistance
  • Complexity analysis verification

Progress Tracking

Week-by-Week Checklist

Week 1:

  • Read 1D Prefix Sum guide
  • Solve 5 basic problems
  • Memorize 1D template
  • Can solve Range Sum Query from memory

Week 2:

  • Read Edge Cases guide
  • Solve 6 problems
  • Understand when NOT to use prefix sum
  • Can debug solutions in 5 minutes

Week 3:

  • Read Hash Map Technique guide
  • Solve 8 problems
  • Master {0: 1} initialization
  • Can solve Subarray Sum Equals K from memory

Week 4:

  • Read 2D and Difference Array guides
  • Solve 7 problems
  • Understand inclusion-exclusion
  • Can implement 2D prefix sum from memory

Week 5:

  • Read XOR/Product and Comparison guides
  • Solve 7 problems
  • Master pattern selection
  • Can choose correct pattern in 30 seconds

Week 6:

  • Complete 3 mock interviews
  • Solve 10 challenge problems
  • Review all mistakes
  • Interview-ready confidence

Success Metrics

By the end of 6 weeks, you should be able to:

Recognize prefix sum problems instantly (< 30 seconds)
Solve easy problems in under 10 minutes
Solve medium problems in under 20 minutes
Choose between prefix sum and sliding window correctly
Handle 2D matrices with inclusion-exclusion
Debug solutions in under 5 minutes
Explain time/space tradeoffs clearly
Write bug-free code on first attempt (80%+ of the time)

Beyond the Roadmap

After completing this roadmap:

  1. Maintain skills - Solve 2-3 problems per week
  2. Explore variants - Try contest problems with prefix sum
  3. Combine patterns - Prefix sum + binary search, prefix sum + DP
  4. Teach others - Explaining solidifies understanding
  5. Build projects - Apply to real-world problems

Final Tips

Do's

✅ Solve problems in order (builds foundation)
✅ Understand formulas before memorizing
✅ Practice debugging systematically
✅ Compare with other patterns (sliding window, hash map)
✅ Use LeetCopilot when stuck
✅ Take breaks to avoid burnout

Don'ts

❌ Skip 1D to jump to 2D
❌ Memorize without understanding why
❌ Ignore edge cases (empty, single, negatives)
❌ Confuse prefix sum with sliding window
❌ Forget {0: 1} initialization
❌ Give up after one attempt

Conclusion

This roadmap is your structured path to prefix sum mastery. Follow it consistently, and in 6 weeks, you'll be interview-ready.

Remember:

  • Week 1-2: Master 1D prefix sum and debugging
  • Week 3: Conquer subarray sum with hash maps
  • Week 4-5: Advanced patterns (2D, difference arrays, variants)
  • Week 6: Interview speed and confidence

The journey is challenging, but the reward is worth it. Prefix sum is a fundamental technique that appears in countless interview problems.

Start with Week 1, Problem #1 (Range Sum Query), and begin your journey to mastery.

Good luck, and happy coding! 🚀

Ready to start? Begin with the Complete Prefix Sum Guide and solve your first problem today.

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