React - An Overview

Nov 2, 20170 likes80 views

React is a JavaScript library created by Facebook for building user interfaces. It uses declarative programming and unidirectional data flow principles. Major companies like Facebook, Netflix, and The New York Times use React. To install React, Node.js is required. Then create-react-app can be used to generate a React project scaffold or code can be copied from React's website for a quick test drive.

What is React?
A Javascript Library created by Facebook (and the
community) to build user interfaces

Ideas behind React
• Declarative nature
• Reduced scope
• Portability
• Expressivity
• Performance
• Unidirectional data flow
• Flux

Support and use
• Facebook, Instagram, Whatsapp
• Nextflix
• New York Times
• Yahoo
• Dropbox
• Wordpress (*)
• 5th most stared project in Github
• 8th most forked project of 2017

What does it look like?
https://reactjs.org/

How to install/use React?
No Babel, No NPM, No Problem:
https://codepen.io/gaearon/pen/
ZpvBNJ?editors=0010
With node installed and want to build
an application with it?
npm install -g create-react-app
create-react-app my-app
cd my-app/
npm start
Quick test-drive:
Copy-Paste this HTML

Strengths Weaknesses Opportunities Threats
Flux as an emergent
frontend architecture
Component base as a way
of encapsulation and code
redistribution
Library approach enables a
better distributed
collaboration
JSX as a means to reduce
context-switching
Usage of the latest ES
specification
Company’s track record of
dubious licensing ( BSD +
Patents )
With a big company backing
the project, there’s a
tendency for less agility and
over-specification
Diversity of the NPM
ecosystem
JavaScript as a cross-
environment language that
enables entering the mobile
market
Help the language standards
to evolve faster by pushing
the community to adopt
them earlier
W3C Web Components Spec
being drafted could direct
some users away to
competitors with a more
similar approach
Too much noise going
around in the community
might turn off those used to
a more stable environment
JSX and build process might
be overwhelming for some
new starters

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𝙄𝙨 𝘼𝙄 𝙟𝙪𝙨𝙩 𝙝𝙮𝙥𝙚? 𝙊𝙧 𝙞𝙨 𝙞𝙩 𝙩𝙝𝙚 𝙜𝙖𝙢𝙚 𝙘𝙝𝙖𝙣𝙜𝙚𝙧 𝙮𝙤𝙪𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙣𝙚𝙚𝙙𝙨? Everyone’s talking about AI but is anyone really using it to create real value? Most companies want to leverage AI. Few know 𝗵𝗼𝘄. ✅ What exactly should you ask to find real AI opportunities? ✅ Which AI techniques actually fit your business? ✅ Is your data even ready for AI? If you’re not sure, you’re not alone. This is a condensed version of the slides I presented at a Linkedin webinar for Tecnovy on 28.04.2025.

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EmizenTech is a globally recognized software development company, proudly serving businesses since 2013. With over 11+ years of industry experience and a team of 200+ skilled professionals, we have successfully delivered 1200+ projects across various sectors. As a leading Mobile App Development Company In Saudi Arabia we offer end-to-end solutions for iOS, Android, and cross-platform applications. Our apps are known for their user-friendly interfaces, scalability, high performance, and strong security features. We tailor each mobile application to meet the unique needs of different industries, ensuring a seamless user experience. EmizenTech is committed to turning your vision into a powerful digital product that drives growth, innovation, and long-term success in the competitive mobile landscape of Saudi Arabia.

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AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix

Talk at the final event of Data Fusion Dynamics: A Collaborative UK-Saudi Initiative in Cybersecurity and Artificial Intelligence funded by the British Council UK-Saudi Challenge Fund 2024, Cardiff Metropolitan University, 29th April 2025 https://alandix.com/academic/talks/CMet2025-AI-Changes-Everything/ Is AI just another technology, or does it fundamentally change the way we live and think? Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater. At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts. At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.

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Unlike traditional product management, AI product leadership requires new mental models, collaborative approaches, and new measurement frameworks. This presentation breaks down how Product Managers can successfully lead AI Innovation in today's rapidly evolving technology landscape. Drawing from practical experience and industry best practices, I shared frameworks, approaches, and mindset shifts essential for product leaders navigating the unique challenges of AI product development. In this deck, you'll discover: - What AI leadership means for product managers - The fundamental paradigm shift required for AI product development. - A framework for identifying high-value AI opportunities for your products. - How to transition from user stories to AI learning loops and hypothesis-driven development. - The essential AI product management framework for defining, developing, and deploying intelligence. - Technical and business metrics that matter in AI product development. - Strategies for effective collaboration with data science and engineering teams. - Framework for handling AI's probabilistic nature and setting stakeholder expectations. - A real-world case study demonstrating these principles in action. - Practical next steps to begin your AI product leadership journey. This presentation is essential for Product Managers, aspiring PMs, product leaders, innovators, and anyone interested in understanding how to successfully build and manage AI-powered products from idea to impact. The key takeaway is that leading AI products is about creating capabilities (intelligence) that continuously improve and deliver increasing value over time.

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