Kotlin Data Structures and Algorithms Series - Index

Welcome to our comprehensive series on Data Structures and Algorithms in Kotlin! 🎉 Whether you’re a Kotlin newbie or a seasoned coder, you’re in the right place to level up your DSA skills with clear explanations and practical Kotlin code. 🚀

Series Overview

This series is divided into four fun modules, each focusing on specific data structures and algorithms:

Module 0: Introduction and Review

1. Key Kotlin Principles for Data Structures & Algorithms
2. Iterator & Iterable Patterns in Kotlin for DSA
3. Big-O Notation and Asymptotic Analysis in Kotlin

Module 1: Arrays, Lists, and Recursion

1. Kotlin Arrays - Fundamentals and Operations
2. List ADT and Dynamic Resizing in Kotlin - Coming soon
3. Recursion with Arrays and Lists in Kotlin - Coming soon

Module 2: LinkedLists

1. Singly LinkedList Implementation in Kotlin - Coming soon
2. Iterables and Recursion in Kotlin LinkedLists - Coming soon
3. Doubly-Linked and Circularly-Linked List Variations in Kotlin - Coming soon

Module 3: Stacks, Queues, and Deques

1. Stack Implementations in Kotlin - Coming soon
2. Queue Implementations in Kotlin - Coming soon
3. Priority Queues and Deques in Kotlin - Coming soon

What You’ll Learn

Throughout this series, you’ll discover:

• 🛠️ How to implement fundamental data structures in Kotlin
• ⏱️ Time and space complexity analysis of algorithms
• 💡 Practical applications of each data structure
• ✨ How to leverage Kotlin’s language features for more elegant and efficient implementations
• 🧠 Best practices for choosing the right data structure for specific problems

Each article is packed with complete, tested code examples you can use in your own projects. Whether you’re prepping for interviews, building something cool, or just want to boost your CS fundamentals with Kotlin, this series will give you a solid foundation. 💪

Stay tuned for weekly updates as we progress through the entire series! 📅👀