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Tag: JS

PyTorch Releases PyTorch Live To Help Create AI-powered Experiences For Mobile Devices

At its Developer Day conference, PyTorch announced the release of PyTorch Live, a set of tools designed to make AI-powered experiences for mobile devices easier. PyTorch Live offers a single programming language — JavaScript — to build apps for Android and iOS, as well as a process for preparing custom machine learning models to be used by the broader PyTorch community.

PyTorch Live builds on PyTorch Mobile, a runtime that allows developers to go from training a model to deploying it while staying within the PyTorch ecosystem and the React Native library for creating…

Top programming language for data science: Python still rules, followed by SQL

Data science and machine learning professionals have driven adoption of the Python programming language, but data science and machine learning are still lacking key tools in business and has room to grow before becoming essential for decision-making, according to Anaconda, the maker of a data science distribution of Python.

Python could soon be the most popular programming language, battling it out for top spot with JavaScript, Java and C, depending on which…

How to Set up a React JS Development Environment

In this write-up, we will discuss React JS Most importantly, how to set up a React JS Development Environment? So let’s begin.

React js is usually called React. It is a javascript library used for creating a hierarchy of UI components, that is, rendering UI components. It provides front-end and server-side support.
Setting up React JS Development Environment
To run any react js application, we must have Nodejs installed on our PC. So we have to proceed through the step mentioned…

Geospatial Data File Format Conversions (KML, SHP, GeoJSON)

Use these JavaScript utilities. No cost. No installation. No quota. (HTML File included)

Screenshot by Author | The typical popup window I face when I attempt to convert a spatial data file with online utilities

A first taste of Codex

image by author

Trying out OpenAI’s automated code generation system

Mark Ryan

One of the highlights of my technical life in 2020 was getting access to GPT-3. Thanks to the advice provided by in this video, I was able to get access to GPT-3 and publish a series of videos describing experiments I did with GPT-3 to generate git commands from English, to create a movie trivia chatbot, and to navigate the London Underground and the New York City subway.

I was impressed with the variety of problems that GPT-3 could tackle, so when I heard about Codex I was anxious to try it out. Codex focused on one of the capabilities of GPT-3, generating code from English language descriptions. Codex generates code in a variety of languages, including Python and JavaScript.


The Dark Side Of Package Repositories: Ownership Drama And Malware

At their core, package repositories sound like a dream: with a simple command one gains access to countless pieces of software, libraries and more to make using an operating system or developing software a snap. Yet the rather obvious flip side to this is that someone has to maintain all of these packages, and those who make use of the repository have to put their faith in that whatever their package manager fetches from the repository is what they intended to obtain.

How ownership of a package in such a repository is managed depends on the specific software repository, with the especially well-known JavaScript repository NPM having suffered regular PR disasters on account of it playing things loose and fast with package ownership.… Read more...

Know When to Hold ’em, Know When to Fold ’em

Computer programmers are a pretty predictable bunch. Every time they approach legacy code, the gut reaction is “let’s rewrite this from scratch.” The reaction is understandable for many reasons.

First of all, code written by someone else (or even yourself a long time ago) is hard to understand. Even good documentation can’t cover every detail you need to know, and there is nothing that helps you understand the problem better than writing the code yourself.

Second, as time goes on, and you think about a problem, you always come up with better (or at least different) approaches. You might realize that some aspect of your code could be factored out. You might think that rearranging the code would make it cleaner and clearer.


Integrating Google Maps API using Python and JavaScript


<div id="map"></div><script type="text/javascript" src="index.js"></script>
<script src="https://maps.googleapis.com/maps/api/js?key=key"></script>
var url = `http://<host_name>:<port_no>/displaylocations`;
type: `GET`,
url: url,
success: function(response) {

Why Is JavaScript ES6 Best For Web Development

Francesca M. Nichols Hacker Noon profile picture

@kannyFrancesca M. Nichols

Best Tech Writer Award Winner

JavaScript is a somewhat out-of-the-way programming language. But it’s also groovy. JavaScript is proceeding to grow more and more endorsement for good, as well as for inauspicious reasons. At its kernel, JavaScript is a blend of some surprisingly great designs and some inadequate ones. The “next generation” of JavaScript is Knows as the ES6. JavaScript indeed is a term used by Web Development Companies for the ECMAScript language. State-of-the-art web browsers can implement version 5 of ECMAScript excellently. The next age, ECMAScript version 6 or ES6, doesn’t hold sufficient browser harmony, yet it’s the path that the JavaScript language is directed towards recognition.


Why GraphQL Will Rewrite the Semantic Web

I’m relatively old school, semantically speaking: my first encounters with RDF was in the early 2000s, not long after Tim Berners-Lee’s now-famous article in Scientific American introducing the Semantic Web to the world. I remember working through the complexities of RDFS and OWL, spending a long afternoon with one of the editors of the SPARQL specification in 2007, promoting SPARQL 1.1 and SHACL in the mid-2010s, and watching as the technology went from being an outlier to having its moment in the sun just before COVID-19 hit.

I like SPARQL, but increasingly I have to admit a hard reality: there’s a new kid on the block that I think may very well dethrone the language, and perhaps even RDF. I’m not talking about Neo4J’s Cypher (which in its open incarnation is intriguing), or GQL, TigerGraph’s SQL-like language intended to bring SQL syntax to graph querying.


Creating an Interactive Word Tree Chart with JavaScript

In this tutorial, I will teach you how to quickly create nice interactive word tree charts using JavaScript. Word trees display how a set of selected words are connected to other words in text data with a branching layout. These charts are similar to word clouds where words that occur more frequently are shown bigger. In a word tree chart, an important part is defining the root words which branch out to various sentences in the text. You can use this learning to create charts with others that have pre-built word trees, too. This is a word tree chart for The Little Prince.

Shachee Swadia Hacker Noon profile picture

Data visualization is not only useful for communicating insights but also helpful for data exploration. There are a whole lot of different chart types that are widely used for identifying patterns in data.


Using the Spread Operator in JavaScript

Mico Gongob Hacker Noon profile picture

This article will cover the spread operator and how you can use them in your day-to-day JavaScript programming. This article assumes you have some familiarity with coding in the JavaScript ecosystem.


We will be using a code example from a previous post – How to Use Rest Parameters in JavaScript. Since the spread operator does the opposite thing of what rest parameters do, a good understanding of rest parameters would be helpful here. However, as a brief introduction, using the three periods syntax (…), rest parameters allow us to capture an indefinite number of function arguments as an array. It is kind of similar to Java Varargs or C# parameter arrays.

In this code example, the log function takes the level and args parameters then outputs them to the console.


Career Opportunities in Blockchain and The Top Jobs You Need to Know

Blockchain expertise is one of the fastest-growing skills and demand for blockchain professionals is picking up momentum in the USA. Since crypto-currencies are doing well for the last few years and many investors are looking at investing in them, the demand for blockchain engineers is growing. Blockchain technology certifications have become very popular in the last few years.

The Growing Demands for Blockchain Specialists

Demand for Blockchain professionals is increasing and blockchain technology certifications are quite popular courses in institutes and universities. Globally, according to Glassdoor, the demand for blockchain professionals grew by 300% in 2019 as compared to 2018 and this increase is expected to grow in the years to come.


A Complete 15 Week Curriculum to Master SQL for Data Science

In the first week, you’ll learn all of the building blocks of a query so that you can write the most fundamental SQL queries.

Now that you’ve learned the basics of SQL, we’re going to learn intermediate to advanced concepts over the next few weeks so that you can beef up your queries.

This week, we’re going to cover logical operators and comparison operators, which are used to filter data:

In week 3, you’ll learn about aggregate functions, which are operations that are performed across rows of data to return a single value.

This is a very important topic that most SQL guides and courses glance over. The order of execution of a SQL query refers to the order in which the clauses of a query are conducted. By understanding this, you’ll be able to debug a lot more problems and write more efficient queries.


Obtaining historical and real-time crypto data with very simple web programming

While learning about cryptocurrencies, I desperately needed data that I could manipulate myself to do my own plots and analyses. Here I show you how to easily get real-time and historical crypto data right in your web browser with minimal programming skills. Source code, links, and some basic plots and analyses included.

Disclaimer: You will not find any financial advice here and I’m no expert in cryptocurrency, cryptoart, NFTs, their trading, etc. I only give away free HTML+JavaScript code to get data through API calls to CryptoCompare.com; and I display some plots derived from that data with some of my own subjective opinions.

I recently got interested in cryptocurrencies, cryptoart, NFTs, etc. Naturally, as a scientist working with data all the time, one of the first things I wanted to do was to play with cryptocurrency data myself.


We Need a Ruby on Rails for Machine Learning

What should an ML framework that optimizes for user happiness look like?

Image by author.

I’ve been talking to many data practitioners these past few months, from Ploomber users to maintainers of other data tools. A recurrent topic has been the state of the Machine Learning tooling; discussions often revolve around the proper API for a Machine Learning framework.

I wonder if the same type of discussions happened during the early days of the internet when web development frameworks appeared. My first encounter with web development was when I learned about the LAMP stack.


Julia: A New Age Data Science

Julia is a high-level and general-purpose language that can be used to write code that is fast to execute and easy to implement for scientific calculations. The language is designed to keep all the needs of scientific researchers and data scientists to optimize the experimentation and design implementation. Julia (programming language).

“Julia was built for scientific computing, machine learning, data mining, large-scale linear algebra, distributed and parallel computing”-developers behind the Julia language.

Python is still famous among data science enthusiasts as they get an ecosystem with loaded libraries to makes the work of data science but Python isn’t fast or convenient enough and it comes with securities variabilities as most of the libraries are built from other languages such a JavaScript, Java, C, and C++.


Machine Learning in Medicine — Part II

A hands-on introductory course on machine learning techniques for physicians and healthcare professionals.

Image by Clay Banks from Unsplash

In Part I of this course, we introduced the names of several common machine learning algorithms, such as decision trees, k-nearest neighbors, and neural networks, and discussed how they fit into one another. We proceeded to set up our project by downloading a public domain dataset, the 500 Cities dataset and setting up a JavaScript machine learning library called the DRESS Kit. Next, We went through the data preparation process to extract useful data points from the dataset using several basic functions from the DRESS Kit, including DRESS.local (to load a local file), DRESS.save


Tool Generates Interactive PCB Diagrams From KiCAD

Nearly everyone likes nice pinout diagrams, but the more pins and functions are involved, the more cluttered and less useful the diagram becomes. To address this, [Jan Mrázek] created Pinion, a tool to help generate interactive diagrams from KiCad design files.

The result is an interactive diagram that can be viewed in any web browser. Hovering over a pin or pad highlights those signals with a callout for the name, and clicking makes it stay highlighted for easier reference. Further information can be as detailed or as brief as needed.

Interestingly, Pinion isn’t a web service that relies on any kind of backend. The diagrams are static HTML and JavaScript only, easily included in web pages or embedded in GitHub documentation.


GitHub Copilot Open Source Alternatives

Recently, GitHub publicly unveiled Copilot, the preview of its “AI pair programmer,” a code completion style tool designed to provide line or function suggestions in your IDE. It has certainly made waves in the world of programming and beyond, and you have likely heard at least something about it.

But Copilot is more than simple autocomplete and is more context aware than other code assistants. Powered by OpenAI’s Codex AI system, Copilot contextualizes a situation using docstrings, function names, comments, and preceding code to best generate and suggest what it determines to be the most appropriate code. Copilot is designed to improve over time, “learning” from how developers use it.


Top programming language for data science: Python still rules, followed by SQL | ZDNet

Data science and machine learning professionals have driven adoption of the Python programming language, but data science and machine learning are still lacking key tools in business and has room to grow before becoming essential for decision-making, according to Anaconda, the maker of a data science distribution of Python.

Python could soon be the most popular programming language, battling it out for top spot with JavaScript, Java and C, depending on which language ranking you look at. But while Python adoption is booming, the fields that are driving it — data science and machine learning — are still in their infancy.

Most respondents (63%) said they used Python frequently or always while 71% of educators said they’re teaching machine learning and data science with Python, which has become popular because of its ease of use and easy learning curve.