Data Structures and Algorithms in Swift: Implement Stacks, Queues, Dictionaries, and Lists in Your Apps

Name: Data Structures and Algorithms in Swift: Implement Stacks, Queues, Dictionaries, and Lists in Your Apps
Brand: Springer
SKU: 9781484257685
Price: 4366.0 INR
Availability: InStock

by Elshad Karimov

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ISBN13: 9781484257685
Binding: Paperback
Subject: N/A
Publisher: Springer
Publisher Imprint: Apress
Publication Date: March 26, 2020
Pages: 208
Original Price: EUR 59.99
Language: English
Edition: N/A
Item Weight: 345 grams
BISAC Subject(s): Programming / Macintosh and Operating Systems / Mac OS

About The Book

From the Back Cover
Control the performance and stability of the apps you develop in Swift by working with and understanding advanced concepts in data structures and algorithms.
All professional developers have to know which data structure and algorithms to use in their development process. Your choice directly affects the performance of your application. With this book, you'll increase the performance of your software, become a better developer, and even pass tricky interview questions better when looking at professional development opportunities.

Guided by compact and practical chapters, you'll learn the nature and proper use of data structures such as arrays, dictionaries, sets, stacks, queues, lists, hash tables, trie, heaps, binary trees, red black trees, and R-trees. Use the main differences among them to determine which will make your applications efficient and faster. Then tackle algorithms. Work with Big O notation; sorting algorithms such as Insertion, Merge, and Quick; Naive and Rabin Karp algorithms; and Graph Algorithms.
Data Structures and Algorithms in Swift encourages you to further and understand how to best choose the perfect algorithm for your application's needs.

You will:

Retrieve, add, and remove elements in arrays
Implement stacks, queues, and lists in your apps
Sort algorithms and choose the best ones for your apps

About The Author

Elshad Karimov is an experienced programmer with a solid background in iOS development as well as Oracle, SQL, C#, Java, and HTML/CSS. He's familiar with the performance limits and characteristics of Swift and the nature and function of embedded databases and system datastores.

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