Algorithms and Data Structures in Javascript (2020)

本课程旨在帮助您了解排序算法和数据结构。以我的经验，大多数人都专注于编程语言，但人们通常会忘记算法。
算法绝对比编程语言更重要，您可以在大约一周的时间内学习一门编程语言，但是解决问题的能力要难得多。但是好处是值得的。
当您大部分都去采访时，他们会在乎您的解决问题的能力，算法和数据结构。
为了获得理想的工作，您需要知道如何解决他们遇到的任何问题。在本课程中，您将学习如何做。
另外，我相信没有人会花时间进行冗长而无聊的讲座，因此在本堂课中，我试图以一种快速而有趣的方式来解释重要的事情，所以我不会让您感到无聊。
我们从排序算法开始：
-选择排序
-冒泡排序
首先，在专家讲座中，您学习算法背后的思想，然后在实现讲座中，我们用Java语言实现算法。
然后，我向您展示递归的工作原理，再次尝试解释递归的含义，然后实现一些递归算法，并使用调试器查看计算机如何评估递归函数。
然后我们继续进行递归排序算法
-合并排序
-快速排序
这些算法是最常用的。对于每种算法，我都会解释其思想，然后我们实现该算法。
学习排序算法后，我们将转到时间复杂度：
-什么是时间复杂度
-大O标记
我将解释什么是时间复杂度以及为什么需要它，此外，我还将向您展示如何比较排序算法，以便我们可以看看哪个是“最佳”。
在本节中，您还将找到包含很多问题的文章，您可以在其中训练您的问题解决能力。
之后，我们来看一下数据结构，我认为最好的dat结构供您学习重要的概念。
我们从树数据结构开始：
-二进制搜索树
-AVL树
您将学习这些方法的工作原理以及如何实现它们。
然后我们看一下链表，堆栈，尝试和哈希表。我们再次用Javascript实现所有这些功能。
我相信学习和理解这些概念将帮助您更有效地解决问题。

Video: .MP4, 1280×720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Duration: 05:13:15
Genre: eLearning | Language: English + Subtitles | Size: 2.39 GB

Master algorithms and data structures in Javascript.

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

Requirements
Basic Javascript programming knowledge

Description
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.

Who this course is for:
Anyone who wants to learn Sorting Algorithms
Anyone who wants to learn Data Structures
Anyone who wants to implement Algorithms and Data Structures in Javascript
Anyone who wants to improve their problem-solving skills