
Data Structures and Algorithms in Swift
Description
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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.
What You'll Learn
- 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
Who This Book Is For
Developers who have intermediate knowledge in Swift and want to improve their code performance and pass more complex interviews
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Content
Chapter 1: Arrays.- Chapter 2: Dictionaries.- Chapter 3: Sets.- Chapter 4: Stacks.- Chapter 5: Queue.- Chapter 6: Linked Lists.- Chapter 7: Hash Tables.- Chapter 8: Trees.- Chapter 9: Trie Data Structures.- Chapter 10: Binary Tree.- Chapter 11: Binary Search Tree.- Chapter 12: Red Black Tree.- Chapter 13: Big O.- Chapter 14: Sorting Algorithms.- Chapter 15: Search Algorithms.- Chapter 16: Graph Algorithms.- Chapter 17: Choosing the Best Algorithm.
System requirements
File format: PDF
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
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