Computer Science in JavaScript

Computer Science in JavaScript

by Nicholas C. Zakas

If you find this useful, please consider supporting my work with a donation.

Description

Collection of classic computer science paradigms, algorithms, and approaches written in JavaScript. This is the source code for the series of blog posts on my website.

Folder Structure

The most recent packages are found in these directories:

• src - the implementation source code
• tests - tests for the implementation source code

These directories contain old implementations that will be replaced eventually, they are just here to avoid confusing people who find this repo through the old blog posts:

• data-structures - data structure implementations that have not been updated yet
• encodings - encoding implementations that have not been updated yet
• algorithms - miscellanous algorithm implementations that have not been updated yet

As I update these, implementations will move from these folders into src.

Branches

• 2009 - the branch containing all of the original implementations as reflected in my 2009 blog post series.
• master - the branch where I'm updating the original implementations to use ECMAScript 2018 and later features.

Installing

You must be using Node.js v8 or later.

First, clone the repo:

$ git clone git://github.com/humanwhocodes/computer-science-in-javascript.git
$ cd computer-science-in-javascript

Then install the dependencies:

$ npm install

You can then run tests like this:

$ npm test

Updated Blog Posts (2019)

These are the most recent blog posts covering the most recent version of the code.

Data Structures

• Linked List
• Doubly-Linked List
• Circular Doubly-Linked List

Original Blog Posts

At some point I will update these blog posts for the new implementations. For now, they still refer only to the 2009 version of this code.

Data Structures

• Binary Search Tree: Part 1, Part 2
• Doubly Linked List
• Linked List

Sorting Algorithms

• Bubble Sort
• Selection Sort

Other Algorithms

• Base64 Encoding
• Binary Search
• Credit Card Number Validation

Note on Code Style

You may find the code style of this module to be overly verbose with a lot of comments. That is intentional, as the primary use of this module is intended to be for educational purposes. There are frequently more concise ways of implementing the details of this class, but the more concise ways are difficult for newcomers who are unfamiliar with linked lists as a concept or JavaScript as a whole.

Issues and Pull Requests

As this is part of series of tutorials I'm writing, only bug fixes will be accepted. No new functionality will be added to this module.

Author: humanwhocodes
Source Code: https://github.com/humanwhocodes/computer-science-in-javascript
License: MIT License

#javascript #computerscience 

What is GEEK

Buddha Community

How To Build A Data Science Career In 2021

For this week’s data science career interview, we got in touch with Dr Suman Sanyal, Associate Professor of Computer Science and Engineering at NIIT University. In this interview, Dr Sanyal shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.

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“Students with skills that are aligned to new-age technology will be of huge value. The industry today wants young, ambitious students who have the know-how on how to get things done,” Sanyal said.

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What is JavaScript - Stackfindover - Blog

Who invented JavaScript, how it works, as we have given information about Programming language in our previous article ( What is PHP ), but today we will talk about what is JavaScript, why JavaScript is used The Answers to all such questions and much other information about JavaScript, you are going to get here today. Hope this information will work for you.

Who invented JavaScript?

JavaScript language was invented by Brendan Eich in 1995. JavaScript is inspired by Java Programming Language. The first name of JavaScript was Mocha which was named by Marc Andreessen, Marc Andreessen is the founder of Netscape and in the same year Mocha was renamed LiveScript, and later in December 1995, it was renamed JavaScript which is still in trend.

What is JavaScript?

JavaScript is a client-side scripting language used with HTML (Hypertext Markup Language). JavaScript is an Interpreted / Oriented language called JS in programming language JavaScript code can be run on any normal web browser. To run the code of JavaScript, we have to enable JavaScript of Web Browser. But some web browsers already have JavaScript enabled.

Today almost all websites are using it as web technology, mind is that there is maximum scope in JavaScript in the coming time, so if you want to become a programmer, then you can be very beneficial to learn JavaScript.

JavaScript Hello World Program

In JavaScript, ‘document.write‘ is used to represent a string on a browser.

<script type="text/javascript">
	document.write("Hello World!");
</script>

How to comment JavaScript code?

• For single line comment in JavaScript we have to use // (double slashes)
• For multiple line comments we have to use / * – – * /

<script type="text/javascript">

//single line comment

/* document.write("Hello"); */

</script>

Advantages and Disadvantages of JavaScript

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77 Programming Language Q&A (P4)

The following article deals with questions/answers you may encounter when asked about Lexical and Syntax Analysis. Check the bottom of the page for links to the other questions and answers I’ve come up with to make you a great Computer Scientist (when it comes to Programming Languages).

324. What are the 3 approaches to implementing programming languages?

• Compilation, Pure Interpretation and Hybrid Implementation

325. What is the job of the syntax analyzer?

• Check the syntax of the program and create a parse tree.

326. What are the syntax analyzers based on?

• Formal description of the syntax of programs, usually BNF.

327. What are some of the advantages of using BNF?

• Descriptions are clear and concise.

• Syntax analyzers can be generated directly from BNF.

• Implementations based on BNF are easy to maintain.

328. What are the 2 distinct parts of syntax analysis and what do they do?

• Lexical analysis: deals with small-scale language constructs such as name

• Syntax analyzer: deals with large-scale constructs such as expressions

329. What are the 3 reasons for why lexical analysis is separated from syntax analysis?

• Simplicity, Efficiency and Portability

330. What does the lexical analyzer do?

• Collects input characters into groups (lexemes) and assigns an internal code (token) to each group.

331. How are lexemes recognized?

• By matching the input against patterns.

#programming #programming-languages #computer-science-theory #computer-science #computer-science-student #data science

Hire Dedicated JavaScript Developers -Hire JavaScript Developers

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From Science to Data Science

1. Introduction and Hypothesis

I loved to work as a scientist. There is a deep feeling of completion and happiness when you manage to answer why. Finding out why such animal would go there, why would they do this at that time of the year, why is that place so diverse… This applies to any kind of field. This is the reason why I want to advocate that if you are a scientist, you might want to have a look at what is called Data Science in the technological field. Be aware, I will not dwell in the details of titles such as Data engineer, data analyst, data scientist, AI researcher. Here, when I refer to Data Science, I mean the science of finding insights from data collected about a subject.

So, back to our **_why. _**In science, in order to answer your why, you will introduce the whole context surrounding it and then formulate an hypothesis. “The timing of the diapause in copepods is regulated through their respiration, ammonia excretion and water column temperature”. Behaviour of subject is the result of internal and external processes.

In marketing, you would have to formulate similar hypothesis in order to start your investigation: “3-days old users un-suscribes due to the lack of direct path towards the check-out”. Behaviour of subject is the result of internal (frustration) and external (not optimized UE/UI) processes.

Although I would have wanted to put that part at the end, as for any scientific paper, it goes without saying that your introduction would present the current ideas, results, and hypotheses of your field of research. So, as a researcher, you need to accumulate knowledge about your subject, and you go looking for scientific articles. The same is true for techs as well. There are plenty of scientific and non-scientific resources out-there that will allow you to better understand, interpret and improve your product. Take this article, for instance, Medium is a wonderful base of knowledge on so many topics! But you could also find passionating articles on PloS One on Users Experience or Marketing Design and etc.

2. Material and Methods

As a Marine biologist and later an Oceanographer, I took great pleasure to go at the field and collect data (platyhelminths, fish counts, zooplankton , etc…). Then we needed to translate the living “data” into numeric data. In the technological industry, it is the same idea. Instead of nets, quadrats, and terrain coverage, you will setup tracking event, collect postbacks from your partners and pull third-parties data. The idea is the same, “how do I get the information that will help me answer my why”. So a field sampling mission and a data collection planning have a lot in common.

#ai #data-science #science #tech #data science #from science