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| Data Structures and Algorithms |
Book Details
Title: Data Structures and Algorithms in Swift
ISBN-10: 942878347
Author: Kelvin Lau & Vincent Ngo
Publisher: Razeware LLC
Language: English
Subject: Swift / Computers & Technology / Programming / Apple Programming
Format: PDF, EPUB, Full Source code
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Introduction
The study of data structures is one about efficiency. Given a particular amount of data,
what is the best way to store it to achieve a particular goal?
As a programmer, you regularly use a variety of collection types, such as arrays, dictionaries, and sets. These are data structures that hold a collection of data, each structure having its own performance characteristics.
As an example, consider the difference between an array and a set. Both are meant to hold a collection of elements, but trying to find a particular element in an array takes a lot longer than finding an element in a set. On the other hand, you can order the elements an array, but you can’t order the elements of a set.
Data structures are a well-studied area, and the concepts are language agnostic; a data structure from C is functionally and conceptually identical to the same data structure in any other language, such as Swift. At the same time, the high-level expressiveness of Swift make it an ideal choice for learning these core concepts without sacrificing too much performance.
So why should you learn data structures and algorithms?
Interviews
When you interview for a software engineering position, chances are you’ll be tested on data structures and algorithms. Having a strong foundation in data structures and algorithms is the “bar” for many companies with software engineering positions.
As a programmer, you regularly use a variety of collection types, such as arrays, dictionaries, and sets. These are data structures that hold a collection of data, each structure having its own performance characteristics.
As an example, consider the difference between an array and a set. Both are meant to hold a collection of elements, but trying to find a particular element in an array takes a lot longer than finding an element in a set. On the other hand, you can order the elements an array, but you can’t order the elements of a set.
Data structures are a well-studied area, and the concepts are language agnostic; a data structure from C is functionally and conceptually identical to the same data structure in any other language, such as Swift. At the same time, the high-level expressiveness of Swift make it an ideal choice for learning these core concepts without sacrificing too much performance.
So why should you learn data structures and algorithms?
Interviews
When you interview for a software engineering position, chances are you’ll be tested on data structures and algorithms. Having a strong foundation in data structures and algorithms is the “bar” for many companies with software engineering positions.
Data structures are most relevant when working with large amounts of data. If you’re
dealing with a non-trivial amount of data, using the appropriate data structure will play
a big role in the performance and scalability of your software.
Self-improvement
Knowing about the strategies used by algorithms to solve tricky problems gives you ideas for improvements you can make to your own code. Swift’s Standard Library has small set of general purpose collection types; they definitely don’t cover every case.
And yet, as you will see, these primitives can be used as a great starting point for building more complex and special purpose constructs. Knowing more data structures than just the standard array and dictionary gives you a bigger collection of tools you can use to build your own apps.
Self-improvement
Knowing about the strategies used by algorithms to solve tricky problems gives you ideas for improvements you can make to your own code. Swift’s Standard Library has small set of general purpose collection types; they definitely don’t cover every case.
And yet, as you will see, these primitives can be used as a great starting point for building more complex and special purpose constructs. Knowing more data structures than just the standard array and dictionary gives you a bigger collection of tools you can use to build your own apps.
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