Introduction to Algorithms in Swift - Succeed in your Software Developer Job Interview!

Karoly Nyisztor, Senior software engineer, instructor &  fanatic

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27 Videos (1h 15m)
    • Course Overview

      1:53
    • Introduction

      4:15
    • Big-O Notation - Overview

      2:20
    • Constant Time - O(1)

      3:56
    • Linear Time - O(n)

      3:19
    • Quadratic Time - O(n2)

      3:39
    • Hints for O(n^k) Complexity

      1:27
    • Logarithmic Time - O(log n)

      1:56
    • Big-O Summary

      1:34
    • The Power of Algorithms

      1:29
    • Calculate Sum(N)

      3:04
    • Pair Matching Challenge

      4:17
    • Find the Equilibrium Index

      3:51
    • The Power of Algorithms - Summary

      1:49
    • Basic Sorting

      2:17
    • Selection Sort

      5:33
    • Selection Sort - Summary

      0:49
    • Insertion Sort

      7:58
    • Insertion Sort - Summary

      1:03
    • Bubble Sort

      5:05
    • Bubble Sort - Summary

      1:01
    • Advanced Sorting

      0:53
    • Merge Sort

      3:46
    • Merge Sort - Summary

      0:55
    • Quicksort

      3:28
    • Quicksort - Summary

      0:57
    • Final Thoughts & Useful Resources

      2:32

About This Class

I created this course to get you started with algorithms. This course will help you understand the importance of algorithms. Soon, you'll be able to solve problems more efficiently.

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I explain each concept using easy-to-understand examples. You'll not only learn how to implement more efficient code, but you'll also learn Swift, Apple's popular programming language. Beyond iOS and Mac development, Swift is going to become THE programming language for Web development and systems programming. 

This course is a long-time investment!

Computer algorithms have been developed and refined over the last couple of decades. The study of algorithms is fundamental to any programmer who plans to develop a software system that is scalable and performant.

Once we got past the basic “Hello World” beginner applications, we begin to realize that complex apps require a different approach. Our software that used to work nicely during our tests becomes incredibly slow and crashes frequently in real-world situations. The reason is that we haven’t prepared our app for real-life usage: while it ran without issues with small datasets during our tests, it fails when reality kicks in. Algorithms are indispensable to building software that is capable of managing large amounts of data or to solve complex problems efficiently.

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Karoly Nyisztor

Senior software engineer, instructor &  fanatic

I am the founder at Leakka, a software development, and tech consulting company. I have worked with companies such as Apple, Siemens - Evosoft, SAP, Zen Studios, and much more.

  • Website: http://www.leakka.com
  • Youtube: https://www.youtube.com/user/knyisztor (iOS development and Swift programming tutorials)
  • Pluralsight Courses: https://www.pluralsight.com/profile/author/karoly-nyisztor
  • Github: https://github.com/nyisztor
  • Twitter: https://twitter.com/knyisztor