- Chapter 1: How to Use This Book
- Chapter 2: Complexity Analysis Essentials
-
Chapter 3: Two Pointers
- The Pattern Explained
- Pattern Recognition Signals
- The Two Main Variations
- Template: Opposite Direction
- Template: Same Direction
- Problem 1: Two Sum II — Input Array Is Sorted ★
- Problem 2: 3Sum ★
- Problem 3: Container With Most Water ★
- Problem 4: Trapping Rain Water ★
- Bonus Problem: Remove Duplicates from Sorted Array
- Chapter Summary
- What’s Next
-
Chapter 4: Fast & Slow Pointers
- The Pattern Explained
- Pattern Recognition Signals
- The Core Technique
- Linked List Node Definition
- Problem 1: Linked List Cycle ★
- Problem 2: Linked List Cycle II ★
- Problem 3: Happy Number ★
- Problem 4: Find the Duplicate Number ★
- Problem 5: Middle of the Linked List ★
- Bonus Problem: Palindrome Linked List
- Chapter Summary
- What’s Next
-
Chapter 5: Sliding Window
- The Pattern Explained
- Pattern Recognition Signals
- The Two Variations
- Template: Fixed-Size Window
- Template: Dynamic-Size Window
- Problem 1: Best Time to Buy and Sell Stock ★
- Problem 2: Longest Substring Without Repeating Characters ★
- Problem 3: Longest Repeating Character Replacement ★
- Problem 4: Minimum Window Substring ★
- Problem 5: Maximum Sum Subarray of Size K
- Problem 6: Permutation in String
- Chapter Summary
- What’s Next
- Chapter 6: Merge Intervals
-
Chapter 7: Binary Search
- The Pattern Explained
- Pattern Recognition Signals
- The Classic Template
- Common Pitfalls
- Problem 1: Binary Search ★
- Problem 2: Search in Rotated Sorted Array ★
- Problem 3: Find Minimum in Rotated Sorted Array ★
- Problem 4: Search a 2D Matrix ★
- Problem 5: Koko Eating Bananas ★
- Problem 6: Median of Two Sorted Arrays ★
- Chapter Summary
- What’s Next
-
Chapter 8: Linked List Manipulation
- The Pattern Explained
- Pattern Recognition Signals
- Node Definition Reminder
- Essential Technique: In-Place Reversal
- Essential Technique: Dummy Nodes
- Problem 1: Reverse Linked List ★
- Problem 2: Reverse Linked List II ★
- Problem 3: Merge Two Sorted Lists ★
- Problem 4: Merge K Sorted Lists ★
- Problem 5: Remove Nth Node From End ★
- Problem 6: Reorder List ★
- Chapter Summary
- What’s Next
- Chapter 9: Stack & Monotonic Stack
- Chapter 10: Heap / Priority Queue (Top K Elements)
-
Chapter 11: Binary Tree Traversal
- The Pattern Explained
- Pattern Recognition Signals
- Tree Node Definition
- The Four Traversals
- Problem 1: Invert Binary Tree ★
- Problem 2: Maximum Depth of Binary Tree ★
- Problem 3: Same Tree ★
- Problem 4: Subtree of Another Tree ★
- Problem 5: Binary Tree Level Order Traversal ★
- Problem 6: Diameter of Binary Tree ★
- Problem 7: Balanced Binary Tree ★
- Chapter Summary
- What’s Next
-
Chapter 12: Binary Search Tree (BST)
- The Pattern Explained
- Pattern Recognition Signals
- BST Properties to Remember
- Problem 1: Lowest Common Ancestor of BST ★
- Problem 2: Validate Binary Search Tree ★
- Problem 3: Kth Smallest Element in BST ★
- Problem 4: Convert Sorted Array to BST ★
- Problem 5: Insert into a BST ★
- Problem 6: Delete Node in BST ★
- Chapter Summary
- What’s Next
- Chapter 13: Tries (Prefix Trees)
- Chapter 14: Backtracking
- Chapter 15: Graph Traversal (BFS & DFS)
- Chapter 16: Advanced Graph Algorithms
- Chapter 17: Dynamic Programming - 1D
- Chapter 18: Dynamic Programming - 2D
- Chapter 19: Bit Manipulation
- Chapter 20: Math & Geometry
- Chapter 21: Problem-Solving Strategies
-
Chapter 22: Pattern Quick Reference
- Two Pointers
- Fast & Slow Pointers
- Sliding Window
- Binary Search
- Merge Intervals
- Linked List Techniques
- Stack / Monotonic Stack
- Heap / Priority Queue
- Tree Traversal
- Graph Traversal
- Topological Sort
- Union-Find
- Backtracking
- Dynamic Programming - 1D
- Dynamic Programming - 2D
- Bit Manipulation
- Complexity Quick Reference
- Chapter 24: Final Review & Next Steps
Mobile Coding Interviews Using Kotlin/Swift
Pattern-Based Problem Solving in Swift & Kotlin
Crack mobile coding interviews by mastering patterns instead of memorization. This book teaches you how to quickly recognize interview problems and solve them confidently using reusable Swift and Kotlin templates, exactly the way top iOS and Android candidates do. If you want to think clearly, code fast, and explain your solutions under pressure—this book is for you.
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About
About the Book
Mobile Coding Interviews: Pattern-Based Problem Solving in Swift & Kotlin is a practical, no-fluff guide to mastering coding interviews for iOS and Android developers. Instead of memorizing hundreds of problems, this book teaches you how to recognize recurring patterns and apply them confidently in Swift and Kotlin.
You’ll learn how interviews actually work, how to analyze time and space complexity quickly, and how to approach problems using a pattern-first mindset—the same approach used by top candidates at FAANG and mobile-focused companies. Each core pattern is broken down with clear recognition signals, reusable templates in both Swift and Kotlin, and carefully selected interview-favorite problems.
Covering everything from Two Pointers and Sliding Window to Graphs, Dynamic Programming, and Advanced Patterns, this book helps you build strong intuition, write clean code under pressure, and explain your thinking clearly during interviews. The final sections focus on practice strategy, pattern cheat sheets, and interview-day frameworksso you walk into interviews calm, structured, and prepared.
If you’re a mobile developer aiming to pass technical interviews by thinking in patterns—not panic—this book is your roadmap.
Author
About the Author
Mahmoud Ramadan
I am Mahmoud Ramadan. I am Android Tech Lead with 12 years of experience in Android Development.
I developed many apps like chatting, augmented reality, streaming, video calling and more. I am passionate about android programming and teaching. https://www.linkedin.com/in/mahmoud-ramadan-abdelwahed/
Contents
Table of Contents
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