MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 49 Lessons (2h 3m) | Size: 342 MB
Take a closer look at algorithms and data structures and learn how to work with them to more efficiently approach software development with Swift.
"Introduction to Algorithms and Data Structures in Swift 5" is a straightforward guide to solving coding problems more efficiently.
In this comprehensive course, author Károly Nyisztor helps to familiarize yourself with algorithmic thinking and code optimization techniques. He explains each concept using easy-to-understand examples. He focuses on the practical application, using hands-on Swift code examples you can use for reference and practice.
Although the demos are implemented in Swift, the lessons can be applied to any programming language.
Throughout the course, Károly walks you through several demo applications to demonstrate the power of algorithms and the importance of picking the right solution.
The Big O notation
Constant, linear, polynomial and logarithmic complexity
Understanding recursion and avoiding pitfalls
Case studies for finding faster solutions
Built-in Swift collection types
When to use a Set, an Array or a Dictionary?
Implementing selection sort, insertion sort, and bubble sort
Advanced sorting: quicksort and merge sort
The study of algorithms and data structures is fundamental to any programmer who plans to develop software systems that are scalable and performant.
"Introduction to Algorithms and Data Structures in Swift 5" is the perfect course for you if you're interested in brig your Swift coding skills to the next level.
To implement the exercises in this book, you'll need a Mac with macOS 10.14.3 (Mojave) or later. You'll also need Xcode 10.2.1 or newer. You can Xcode for free from the Mac App Store.
We're going to use Swift 5 to implement the source code in this course.
All the samples are compatible with the latest Swift version. I am going to update the source code as changes in the language make it necessary.
The projects are available on Github:
and you can them from the repository