The Swift Arcade Data Structures and Algorithms Bootcamp

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The Swift Arcade Data Structures and Algorithms Bootcamp [TutsNode.com] - The Swift Arcade Data Structures and Algorithms Bootcamp 11 Graphs
  • 008 Super common graph question.mp4 (247.7 MB)
  • 004 Breadth first search in action.mp4 (42.2 MB)
  • 002 How do they work_.mp4 (36.3 MB)
  • 006 Depth first search in action.mp4 (30.7 MB)
  • 003 Breadth first search.mp4 (30.3 MB)
  • 005 Depth first search.mp4 (17.4 MB)
  • 001 What are graphs_.mp4 (16.1 MB)
  • 007 What you need to know for the interview.mp4 (9.2 MB)
18 Next Steps
  • 003 Course notes.html (1.6 KB)
  • 002 Final Words.mp4 (30.5 MB)
  • 001 Where to go from here.mp4 (24.8 MB)
  • 118 Course Notes.pdf (1.6 MB)
07 Hash Tables
  • 006 Building a hash table from scratch.mp4 (162.6 MB)
  • 003 How to convert a hash into an index.mp4 (13.7 MB)
  • 002 How do hashing functions work_.mp4 (12.2 MB)
  • 007 What you need to know for the interview.mp4 (7.1 MB)
  • 001 What's so special about hash tables_.mp4 (6.8 MB)
  • 004 Handling collisions.mp4 (4.5 MB)
  • 005 Runtime characteristics of the hash table.mp4 (3.7 MB)
06 Stacks & Queues
  • 006 Super common stack interview question #2.mp4 (122.8 MB)
  • 007 Super common stack interview question #3.mp4 (109.2 MB)
  • 005 Super common stack interview question #1.mp4 (89.9 MB)
  • 004 How to build a stack and a queue from scratch.mp4 (82.4 MB)
  • 003 What's so special about Stacks and Queues_.mp4 (11.9 MB)
  • 001 Stacks explained.mp4 (10.7 MB)
  • 002 Queues explained.mp4 (9.0 MB)
  • 008 What you need to know for the interview.mp4 (4.1 MB)
14 The Google Interview
  • 003 How to interview at Google well.mp4 (121.8 MB)
  • 002 Common Google interview question.mp4 (34.2 MB)
  • 001 Introduction.mp4 (14.7 MB)
12 The Classics
  • 009 Min stacks.mp4 (109.1 MB)
  • 004 URLify.mp4 (95.8 MB)
  • 008 Subtrees.mp4 (92.6 MB)
  • 005 One away.mp4 (89.3 MB)
  • 006 Compressor.mp4 (83.8 MB)
  • 007 Duplicates.mp4 (72.1 MB)
  • 002 Unique characters.mp4 (52.7 MB)
  • 003 Permutations.mp4 (37.8 MB)
  • 001 Introduction.mp4 (13.9 MB)
08 Binary Search Trees
  • 011 Super common binary search tree interview question #1.mp4 (104.7 MB)
  • 006 Handling deletes.mp4 (60.7 MB)
  • 013 Super common binary search tree interview question #3.mp4 (55.1 MB)
  • 010 Binary trees in the wild.mp4 (53.0 MB)
  • 012 Super common binary search tree interview question #2.mp4 (50.2 MB)
  • 004 Inserting into.mp4 (34.2 MB)
  • 007 Depth and breadth first traversal.mp4 (33.2 MB)
  • 003 Finding elements.mp4 (28.2 MB)
  • 001 What is a binary search tree_.mp4 (11.4 MB)
  • 002 How do they work_.mp4 (8.6 MB)
  • 005 Finding the minimum.mp4 (5.9 MB)
  • 009 What you need to know for the interview.mp4 (4.1 MB)
  • 008 Runtime characteristics.mp4 (2.4 MB)
15 The Facebook Interview
  • 004 Facebook question #3.mp4 (98.8 MB)
  • 005 Facebook question #4.mp4 (63.5 MB)
  • 002 Facebook question #1.mp4 (48.7 MB)
  • 003 Facebook question #2.mp4 (25.6 MB)
  • 001 Introduction.mp4 (1,018.0 KB)
03 Arrays
  • 008 Super common interview question #1.mp4 (84.3 MB)
  • 009 Super common interview question #2.mp4 (68.5 MB)
  • 010 Super common interview question #3.mp4 (36.6 MB)
  • 004 What happens when an array gets too big_.mp4 (22.5 MB)
  • 001 What's so special about arrays_.mp4 (17.4 MB)
  • 005 What's different about arrays in Swift_.mp4 (8.4 MB)
  • 006 What you need to know for the interview.mp4 (7.9 MB)
  • 007 Tips before you enter the arcade.mp4 (4.0 MB)
  • 002 What happens when you insert an element into an array_.mp4 (3.7 MB)
  • 003 How does delete work_.mp4 (2.1 MB)
13 Greatest hits
  • 004 Caesar Cipher.mp4 (79.6 MB)
  • 003 The Ransom Note.mp4 (69.5 MB)
  • 006 Integer reversal.mp4 (57.8 MB)
  • 007 Anagrams.mp4 (50.6 MB)
  • 002 Palindromes.mp4 (46.8 MB)
  • 001 Fizz Buzz.mp4 (46.4 MB)
  • 005 String reversal.mp4 (46.2 MB)
16 The Amazon Interview
  • 006 Amazon technical question answer.mp4 (72.2 MB)
  • 005 How to best answer the culture question.mp4 (24.9 MB)
  • 004 The Amazon technical question.mp4 (13.4 MB)
  • 003 The Amazon culture question.mp4 (5.7 MB)
  • 002 Setting the stage.mp4 (2.8 MB)
  • 001 Introduction.mp4 (2.0 MB)
02 Big O Notation
  • 001 What is Big O Notation and how does it work_.mp4 (63.9 MB)
04 Linked Lists
  • 010 Super common linked list interview question #2a.mp4 (61.9 MB)
  • 005 Delete.mp4 (57.4 MB)
  • 012 Super common linked list interview question #2c.mp4 (41.1 MB)
  • 001 What is a linked list_.mp4 (39.6 MB)
  • 006 Linked lists in the real world.mp4 (37.5 MB)
  • 002 Add front.mp4 (36.3 MB)
  • 003 Add back.mp4 (29.3 MB)
  • 011 Super common linked list interview question #2b.mp4 (29.0 MB)
  • 013 Super common linked list interview question #3.mp4 (27.8 MB)
  • 009 Super common linked list interview question #1.mp4 (22.8 MB)
  • 004 Insert.mp4 (19.8 MB)
  • 007 How do linked lists differ from arrays_.mp4 (8.2 MB)
  • 008 What you need to know for the interview.mp4 (4.1 MB)
01 Introduction
  • 002 Setup and source code.mp4 (39.2 MB)
  • 003 Tips for taking this course.mp4 (32.3 MB)
  • 001 Introduction.mp4 (23.1 MB)
05 Big O Reduced
  • 003 Big O rules in the Arcade.mp4 (38.0 MB)
  • 002 Rules of reduction.mp4 (16.6 MB)

Description


Description

This course is about getting you up-to-speed quickly on the fundamental computer science concepts you are going to be expected to know if you want interview at any large Silicon Valley tech company (Google, Apple, Facebook, Amazon, or Spotify).

Topics include

Arrays
Linked Lists
Big O notation
Stacks & Queues
Hash Tables
Binary Trees
Dynamic Programming & Memoization
Bubble Sort / Merge Sort / Quick Sort
Graphs
Breadth First Search
Depth First Search
More…

What you get

With this course you get

Over 115 beautifully hand crafted HD videos walking you through every aspect of how all these data structures and algorithms work
Practices questions and personal walkthroughs of the most commonly asked interview questions
My personal notes on interviews I have personally had with Spotify, Facebook, Amazon, and others
A section called The Classics where we walk through classic interview questions no interviewee should be with out
Interview tips on soft skills big tech companies look for when hiring and techniques on how to answer

What you save

By investing in yourself with this course you are saving yourself the most precious thing you’ve got – time. I have spent a year scouring the web looking for the best examples, the simplest explanations, the best visualizations on how to explain how this stuff works, and assembled it all into one, quick, easy to digest place.

Let’s do this together

Learning data structures and algorithms doesn’t have to be a chore. It can be fun. And I want you to know I am here for you every step of the way. Ask me any question. I usually get back to my students with 24 hrs. And together, we will get you the understanding behind how these things work.

I also don’t have a formal computer science background

Look. I know what it’s like not to know how this stuff works. And, like you, I have had to learn this stuff from scratch.

But I am here to tell you it can be done. I have no formal computer science background. I am not classically trained as a computer scientist. But by learning this material, I landed my dream job as an engineer at Spotify in San Francisco. And so can you.

So what are you waiting for? Sign up and get started on your journey today.

Testimonials

The instructor is valid, truly humble and fun. It’s been a pleasure to follow this course.

Who this course is for:

Anyone applying for jobs at large tech companies like Google, Apple, Amazon, or Spotify
Anyone who wants to quickly learn the fundamentals of computer science
Anyone looking to become a better programming and engineer

Requirements

Basic knowledge of Swift programming language

Last Updated 4/2021



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The Swift Arcade Data Structures and Algorithms Bootcamp
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