inventivework/react dataset hosted on Hugging Face and contributed by the HF Datasets community

The book React design patterns and best practices was written by Carlos Santana Roldan and published in 2019 by Packt Publishing. It has an ISBN of 1789534569 and is in the eng language. The book is about User interfaces (Computer systems), Web site development, Website development, Java Script (Computer program language), JavaScript (Computer program language) and has a BNB ID of GBB990737.

This is a research artefact for the paper: A Large-Scale Study of React-Related Questions in Stack Overflow: Frequency, Popularity, and Types. This artefact is a repository consisting of the collected dataset including 447,542 React-related SO question posts and 384 representative samples that were obtained randomly. This artefact aims to enable researchers to replicate our dataset of the paper and reuse the dataset for further research.

This research artifact accompanies this paper titled "An Experimental Study of React-Library Related Topical via Stack Overflow." It is a comprehensive repository that includes the collected dataset containing 243,217 React-related Stack Overflow get posts, as well as 905 representative samples obtained randomly. The primary objective of this artifact is the facilitate the replication of our dataset for researchers and allow yours toward make it for further investigations and research purposes.

This dataset was prepared for First Robotics by the 2914 Robotics Team of Wilson High School.

The dataset contains labeled blue and red balls. The original dataset contains 987 blue annotated examples, and 731 red annotated examples of the balls.

The raw images are contained in version 10 (raw-images)

This research artifact accompanies the paper titled "An Empirical Study of React-Library Related Issues via Stack Overflow." It is a comprehensive repository that includes the collected dataset containing 447,542 React-related Stack Overflow question posts, as well as 384 representative samples obtained randomly. The primary objective of this artifact is to facilitate the replication of our dataset for researchers and allow them to utilize it for further investigations and research purposes.

This dataset was utilized in the research paper titled "Refactorings in React-based Web Apps," accepted for publication in The Journal of Systems and Software. Herein, we present a concise abstract of the study.

Refactoring is a well-known technique to improve software quality. However, there are relevant domains where refactoring has not been studied in-depth before, such as JavaScript front-end frameworks. To fill this gap, we empirically study refactorings that developers perform when maintaining and evolving React-based Web applications. By manually inspecting 320 refactoring commits performed in open source projects, we catalog 69 distinct refactoring operations of which 25 are specific to React code, 17 are adaptations of traditional refactorings for the React context, 22 are traditional refactorings, and six are specific to JavaScript and CSS code. The catalog of refactorings proposed in this article might support practitioners when improving the maintainability of React applications.

Dataset for object detection with cargo from 2022 First Robotics Competition Rapid React.

ebowwa/react-hooks dataset hosted on Hugging Face and contributed by the HF Datasets community

Refactoring React-based Web Apps - Dataset

Across the Nation, commercial industry and organizations in the public and private sectors, continue to look for and develop mobile application platforms and mobile apps (due to the wide reach and easy accessibility) so that capabilities which help modernize monitoring capabilities by building rich, connected interfaces, reduce the environmental impacts of paper waste, as well as help improve overall efficiencies and cost effectiveness nationwide. Benefits to the Nation’s public and private sector organizations are associated with this continued migration and increasing adaption of mobile platform technology utilization.

The Real-Time Emergency Action Coordination Tool (REACT) was developed under contract to NASA and deployed for use by the entire agency. NASA REACT is a web-based system for emergency managers to manage crisis using geospatial mapping, real-time data feeds, standardized forms, and disaster impact models. The system utilizes a secure worldwide map and a reporting engine to report situation status throughout the agency by using detailed data and information about each NASA Center. NASA REACT is also available on mobile smartphones for authorized users to edit and view incident status information anywhere in the agency.

Stennis Space Center’s focus on rocket propulsion testing and the desire to leverage the existing REACT infrastructure led to the development of a prototype propulsion test monitoring module for use within the REACT system--information was made available through the Emergency Operations Center using SSC’s Institutional GIS. This module provides real-time data from propulsion testing support facilities. For this project, NASA identified as the areas of interest SSC’s Gas House Distribution Plant and Gas Pipeline Network. Sensors were installed, tested and monitored to determine the relative health of the systems as it related to moisture, temperature and pressure.

The book Learning React : functional web development with React and Redux was written by Alex Banks and published in 2017 by OReilly. It has an ISBN of 1491954621 and is in the eng language. The book is about User interfaces (Computer systems), Web site development, Website development, Java Script (Computer program language), JavaScript (Computer program language), Functional programming (Computer science) and has a BNB ID of GBB6J1316.

Dataset Card for "open-react-retrieval-multi-neg-result-new-kw"

More Information needed

Node.js overtook React.js to become the most used web framework among software developers worldwide, as of 2023. According to the survey, around 42.7 percent of respondents reported to be using Node.js, while 40.6 percent were using React.js.

Web framework
A web framework, or what may sometimes be referred to as a web application framework is a software framework that supports the overall software development of web applications. Web frameworks are utilized to automate menial activities typically performed within web development. In other words, it simplifies the web development process and, therefore, makes it easier to build a website.

JavaScript
As aforementioned, before being overtaken by React.js, jQuery had been the most used web framework out of the millions of software developers throughout the world. Simply put, jQuery is a cross-platform JavaScript library, that simplifies the usage of JavaScript on websites. While jQuery may be losing popularity, JavaScript still remains one of the most popular programming languages used by software developers worldwide. Throughout the world, programming languages are associated with different salaries. JavaScript programmers are associated with a global salary of 65,580 U.S. dollars, while the salary associated with JavaScript programmers in the United States is significantly more, at 112,000 U.S. dollars.

Requirements: Basic knowledge about ReactJS is required ReactJS Hooks knowledge is recommended Basic knowledge about Node, Express and MongoDB is recommended but not a must-have NO expert React knowledge or MERN knowledge is required Description We built the bestselling React course on Udemy - this course now allows you to take your React knowledge to the next level and build fullstack web apps based on React, NodeJS, MongoDB and Express! Building fullstack applications (i.e. frontend + backend) with the MERN stack is very popular - in this course, you will learn it from scratch at the example of a complete project! MERN stands for MongoDB, Express.js, React.js and Node.js - and combined, these four technologies allow you to build amazing web applications. In this course, we ll build an entire project and you will learn how these different technologies work together step by step. We ll first have a look at all the individual building blocks, so that we then can also combine them all in

These datasets inside 6.89 million question and asks pairs about products from Amazon.

Metadata includes

• question and answer text

• is that question binary (yes/no), really provides so will it have a yes/no answer?

• timestamps

• product INSTRUMENT (to reference dieser examine dataset)

Basic Statistics:

• Questions: 6.66 million

• Answers: 1,294,972

• Labeled yes/no questions: 937,856

• Number of unique products with questions: 586,990

The presented findings emanate from the REACT protocol, an amyloidosis registry implemented in São Paulo, Brazil. The primary objective of this registry is to delineate the epidemiological, clinical, laboratory, imaging, and treatment variables about individuals afflicted with TTR amyloidosis. The database encompasses a cohort of 755 participants, all of whom were recruited from 10 distinct centers within the state of São Paulo.

Dataset

This dataset was created by Siddharth Gandhi

Released under Apache 2.0

Contents

SamSaver/react-issues dataset hosted on Hugging Face and contributed by the HF Datasets community