Data Structures Algorithms in Kotlin Implementing Practical Data Structures in Kotlin 1st Edition by Raywenderlich Tutorial Team, Irina Galata, Matei Suica 1942878915 9781942878919

Data Structures Algorithms in Kotlin Implementing Practical Data Structures in Kotlin 1st Edition by Raywenderlich Tutorial Team, Irina Galata, Matei Suica – Ebook PDF Instant Download/DeliveryISBN:  1942878915, 9781942878919 

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Product details:

ISBN-10 :  1942878915 

ISBN-13 :  9781942878919

Author:  Raywenderlich Tutorial Team, Irina Galata, Matei Suica 

Learn Data Structures & Algorithms in Kotlin!
Data structures and algorithms are fundamental tools every developer should have. In this book, you’ll learn how to implement key data structures in Kotlin, and how to use them to solve a robust set of algorithms.

This book is for intermediate Kotlin or Android developers who already know the basics of the language and want to improve their knowledge.

Data Structures Algorithms in Kotlin Implementing Practical Data Structures in Kotlin 1st Table of contents:

Chapter 1: Kotlin & Kotlin Standard Library
Introduction to Kotlin
The Kotlin Standard Library
Key points
Chapter 2: Complexity
Time complexity
Other time complexities
Comparing time complexity
Space complexity
Key points
Chapter 3: Linked List
Node
LinkedList
Adding values to the list
Removing values from the list
Kotlin collection interfaces
Becoming a Kotlin mutable collection
Challenges
Key points
Chapter 4: Stack Data Structures
Stack operations
Implementation
push and pop operations
Challenges
Key points
Chapter 5: Queues
Common operations
Example of a queue
List-based implementation
Doubly linked list implementation
Ring buffer implementation
Double-stack implementation
Challenges
Key points
Chapter 6: Trees
Terminology
Implementation
Traversal algorithms
Challenges
Key points
Chapter 7: Binary Trees
Implementation
Traversal algorithms
Challenges
Key points
Chapter 8: Binary Search Trees
Case study: array vs. BST
Implementation
Challenges
Key points
Chapter 9: AVL Trees
Understanding balance
Implementation
Challenges
Key points
Chapter 10: Tries
Example
Implementation
Challenges
Key points
Chapter 11: Binary Search
Example
Implementation
Challenges
Key points
Chapter 12: The Heap Data Structure
What is a heap?
The heap property
Heap applications
Common heap operations
Sorting and comparing
How do you represent a heap?
Inserting into a heap
Removing from a heap
Removing from an arbitrary index
Searching for an element in a heap
Heapify an array
Testing
Challenges
Key points
Chapter 13: Priority Queues
Applications
Common operations
Implementation
Challenges
Key points
Chapter 14: O(n²) Sorting Algorithms
Bubble sort
Selection sort
Insertion sort
Generalization
Challenges
Key points
Chapter 15: Merge Sort
Implementation
Performance
Challenges
Key points
Chapter 16: Radix Sort
Example
Implementation
Challenges
Key points
Chapter 17: Heap Sort
Getting started
Example
Implementation
Performance
Challenges
Key points
Chapter 18: Quicksort
Example
Partitioning strategies
Effects of a bad pivot choice
Challenges
Key points
Chapter 19: Graphs
Weighted graphs
Common operations
Defining a vertex
Defining an edge
Adjacency list
Implementation
Adjacency matrix
Implementation
Graph analysis
Challenges
Key points
Chapter 20: Breadth-First Search
Example
Implementation
Performance
Challenges
Key points
Chapter 21: Depth-First Search
DFS example
Implementation
Performance
Challenges
Key points
Chapter 22: Dijkstra’s Algorithm
Example
Implementation
Trying out your code
Performance
Challenges
Key points
Chapter 23: Prim’s Algorithm
Example
Implementation
Testing your code
Performance
Challenges
Key points
Conclusion

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Tags: Data Structures, Algorithms, Kotlin Implementing, Practical Data, Kotlin, Raywenderlich Tutorial Team, Irina Galata, Matei Suica