# Algorithms and Data Structures in Javascript (2020)

Algorithms and Data Structures in Javascript (2020)
English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 5 Hours | 2.39 GB

Master algorithms and data structures in Javascript.

This course is designed to help you understand sorting algorithms and data structures. In my experience most people focus on the programming language, but people often forget about algorithms.

Algorithms are definitely more important than a programming language, you can learn a programming language in about week, but the problem-solving ability is much harder to learn. But the benefits are worth it.

When you get to interview mostly they care about your problem-solving abilities, algorithms and data structures.

To get your dream job, you need to know how to solve whatever problem they have. In this course, you will learn how to do that.

Also, I believe that nobody has time for long and boring lectures, so in this class, I try to explain the important things in a fast and engaging way, so I won’t bore you to death.

We start off with Sorting algorithms:

– Selection Sort

– Bubble Sort

First there is the explenation lecture where you learn the idea behind an algorithm, then there is the implementation lecture, where we implement the algorithm in Javascript.

Then I show you how Recursion works, once again I try to explain what recursion means, then we implement some recursion algorithms and we use debugger to see how computer evaluates recursive functions.

Then we move on to recursive Sorting Algorithms

– Merge sort

– Quick sort

These algorithms are most commonly used. With each algorithm I explain the idea, then we implement the algorithm.

Once you learn sorting algorithms, we move on to Time Complexity:

– What is time Complexity

– Big O notation

I explain what is time complexity and why we need it, also, I will show you how to compare sorting algorithms, so that we can see which one is the “best”.

In this section you also find an article with a lot of problems, where you can train your problem solving skills.

After that we take a look at Data Structures, I choose In my opinion the best dat structures for you to learn the important concepts.

We start of with Tree Data Structures:

– Binary Search Tree

– AVL tree

You learn how these works and also how to implement them.

Then we take a look at Linked List, Stack, Tries and Hash Tables. Once again we implement all of these in Javascript.

I believe that learning and understanding these concepts will help you solve problems more efficiently.

What you’ll learn

• Master Sorting Algorithms and Data Structures FAST
• Implement Selection, Bubble, Merge and Quick Sort
• Implement Binary Search Tree, AVL Tree, Linked List, Tries and Hash Tables
• Improve problem-solving skills & Construct Efficient Algorithms

Introduction
1 Introduction
2 Say Hello )
3 Install VisualStudio Code

Simple Sorting Algorithms
4 Problem Definition
5 Selection Sort
6 CODE Selection Sort
7 Bubble Sort
8 CODE Bubble Sort
9 CODE Bubble Sort #Challenge
10 CODE Bubble Sort #Solution

Recursion
11 What is Recursion
12 CODE Recursion
13 CODE Recursion 2 (debugging)

14 Merge Sort
15 CODE Merge Sort
16 Quick Sort
17 CODE Quick Sort
18 CODE Quick Sort #Challenge
19 CODE Quick Sort #Solution

Time Complexity
20 What is Time Complexity
21 Big O notation
22 Compared Sorting Algorithms
23 CODE Comparing Sorting Algorithms
24 PRACTICE Simple Algorithms

Tree Data Structures
25 What is Data Structure
26 CODE AVL Tree 2
27 CODE AVL Tree 3
28 CODE AVL Tree 4
29 CODE AVL Tree 5
30 Binary Search Tree
31 CODE Binary Search Tree
32 CODE Binary Search Tree 2
33 CODE Binary Search Tree 3
34 AVL Tree
35 AVL Tree Insertion
36 AVL Tree Deletion
37 CODE AVL Tree

List