Data Structures And Algorithms With JavaScript
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Data structures are a method of storing and organizing data for efficient access and manipulation by all users and devices. Some common data structures that are used in JavaScript include stacks, queues, linked lists, sets, hash tables and trees, each of which makes it possible to call upon data existing in a specific state and use it in several ways.
Data structures allow algorithms to use data stored in the computer to execute a specific task laid out in a step-by-step manner by the algorithm. Algorithms can be written using any programming language, with JavaScript being no exception. This allows for client-side functionality such as sorting and searching.
Several pre-existing data structures exist to solve coding problems with efficiency, thereby reducing the number of programming hours needed to resolve an issue with a systematic method of storing and retrieving data. However, data structures exist to handle specific functions, which means the rest of the code that surrounds the data structure must be written properly in order for the data stored within to be accessible.
The fundamental knowledge attained through learning how to code in JavaScript, such as working with variables, arrays, objects, loops and functions, can then be written into algorithms, therby allowing programmers to manipulate strings, factorialize numbers and make advanced calculations.
Immerse yourself in a course tailored for engineers comfortable with JavaScript, but wanting to better understand the data structures and algorithms necessary to ace job interviews and build better software. Learn topics like recursion, stacks & queues, sorting algorithms, trees, linked lists, Binary Search Trees, Graphs, & Hash Tables, Big-O and Breadth-First and Depth-First Search all in one place! This course is your key to understanding some of the most common data structures and algorithms in Computer Science while reinforcing JavaScript programming techniques. Master these concepts and you can approach your next job interview or coding challenge with confidence!
Programming languages all have built-in data structures, but these often differ from one language to another. This article attempts to list the built-in data structures available in JavaScript and what properties they have. These can be used to build other data structures.
With conventions, it is possible to represent any data structure in a string. This does not make it a good idea. For instance, with a separator, one could emulate a list (while a JavaScript array would be more suitable). Unfortunately, when the separator is used in one of the \"list\" elements, then, the list is broken. An escape character can be chosen, etc. All of this requires conventions and creates an unnecessary maintenance burden.
In JavaScript, objects can be seen as a collection of properties. With the object literal syntax, a limited set of properties are initialized; then properties can be added and removed. Object properties are equivalent to key-value pairs. Property keys are either strings or symbols. Property values can be values of any type, including other objects, which enables building complex data structures.
Typed Arrays present an array-like view of an underlying binary data buffer, and offer many methods that have similar semantics to the array counterparts. \"Typed array\" is an umbrella term for a range of data structures, including Int8Array, Float32Array, etc. Check the typed array page for more information. Typed arrays are often used in conjunction with ArrayBuffer and DataView.
JSON (JavaScript Object Notation) is a lightweight data-interchange format, derived from JavaScript, but used by many programming languages. JSON builds universal data structures that can be transferred between different environments and even across languages. See JSON for more details.
With conventions, it is possible to represent any data structure in a string. This does not make it a good idea. For instance, with a separator, one could emulate a list (while a JavaScript array would be more suitable). Unfortunately, when the separator is used in one of the \\\"list\\\" elements, then, the list is broken. An escape character can be chosen, etc. All of this requires conventions and creates an unnecessary maintenance burden.
Typed Arrays present an array-like view of an underlying binary data buffer, and offer many methods that have similar semantics to the array counterparts. \\\"Typed array\\\" is an umbrella term for a range of data structures, including Int8Array, Float32Array, etc. Check the typed array page for more information. Typed arrays are often used in conjunction with ArrayBuffer and DataView.
A data structure is not only used for organizing the data. It is also used for processing, retrieving, and storing data. There are different basic and advanced types of data structures that are used in almost every program or software system that has been developed. So we must have good knowledge about data structures.
With these primitive data types defined, we can now work on some data structure implementations specific to JavaScript. Data structures are a way of storing and organizing the data primitives we just described so that they can be efficiently accessed and used in algorithms.
We can work with arrays to define a list of data types, and then index and filter for the first one (by definition, arrays are zero-indexed, meaning a slice of [0] for the index will return the first item and so on).
There are multiple types, from singly-linked lists, doubly-linked lists (which links the tail to the head, allowing us to travel back and forth through the different data types) to trees and graphs. Trees connect parents to multiple child nodes as opposed to linked lists, which connects one parent with one child. Graphs allow for the connection of multiple parent nodes to multiple child nodes. Here is an implementation of a linked list.
A hash table is a dictionary-like data structure, where keys are paired with values. Hash tables are great for rapid retrieval and modification of data, though the array and list-like objects above are better for storage. Still, especially with the explosive growth of data, hash tables have become nearly ubiquitous. For example, popular NoSQL databases used in the web such as MongoDB and Redis are distributed hash tables and key/value stores. This is an example of a hash table implementation in JavaScript.
A common problem with programming algorithms is how to sort through arrays of values so that they come in some logical order, say, from the lowest to the highest integer in an array of numbers. QuickSort is a sorting algorithm that can help with this. By employing a pivot and going through subsets of an array, we can slowly sort every element that is smaller than the pivot to its left.
The self-paced curriculum, designed by leading instructor Colt Steele, will help you master web development, standard developer tooling from Git to Terminal to Github, the basics of SQL and data structures, and algorithms in both Python and JavaScript. You will learn:
In this book, you will learn about the most-used data structures and algorithms. However, why use JavaScript to learn about data structures and algorithms We have already answered this question. JavaScript is very popular and is appropriate to learn about data structures because it is a functional language. Also, this can be a very fun way of learning something new as it is very different from (and easier than) learning about data structures with a standard language such as C or Java. And who said data structures and algorithms were only made for languages such as C and Java You might need to implement some of these languages while developing for the frontend as well.
Learning about data structures and algorithms is very important. The first reason is that data structures and algorithms can solve the most common problems efficiently. This will make a difference to the quality of the source code you write in the future (including performance; if you choose the incorrect data structure or algorithm, depending on the scenario, you may have some performance issues). Secondly, algorithms are studied in college together with the introductory concepts of computer science. And thirdly, if you are planning to get a job in the greatest IT (Information Technology) companies (such as Google, Amazon, Ebay, and so on), data structures and algorithms are the subjects of interview questions.
Detailed steps to download the code bundle are mentioned in the Preface of this book. Please have a look. The code bundle for the book is also hosted on GitHub at -datastructures-algorithms. We also have other code bundles from our rich catalog of books and videos available at Check them out!
Before we start diving into the various data structures and algorithms, let's have a quick overview of the JavaScript language. This section will present the JavaScript basics required to implement the algorithms we will create in the subsequent chapters. 59ce067264
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