Learning React Modern Patterns for Developing React Apps
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Marketing Cloud Published: August 12, 2021
Marketing Cloud Published: August 12, 2021 The following are notices required by licensors related to distributed components (mobile applications, desktop applications, or other offline components) applicable to the services branded as ExactTarget or Salesforce Marketing Cloud, but excluding those services currently branded as “Radian6,” “Buddy Media,” “Social.com,” “Social Studio,”“iGoDigital,” “Predictive Intelligence,” “Predictive Email,” “Predictive Web,” “Web & Mobile Analytics,” “Web Personalization,” or successor branding, (the “ET Services”), which are provided by salesforce.com, inc. or its affiliate ExactTarget, Inc. (“salesforce.com”): @formatjs/intl-pluralrules Copyright (c) 2019 FormatJS Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -
Learning React Functional Web Development with React and Redux
Learning React Functional Web Development with React and Redux Alex Banks and Eve Porcello Beijing Boston Farnham Sebastopol Tokyo Learning React by Alex Banks and Eve Porcello Copyright © 2017 Alex Banks and Eve Porcello. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472. O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (http://oreilly.com/safari). For more information, contact our corporate/insti‐ tutional sales department: 800-998-9938 or [email protected]. Editor: Allyson MacDonald Indexer: WordCo Indexing Services Production Editor: Melanie Yarbrough Interior Designer: David Futato Copyeditor: Colleen Toporek Cover Designer: Karen Montgomery Proofreader: Rachel Head Illustrator: Rebecca Demarest May 2017: First Edition Revision History for the First Edition 2017-04-26: First Release See http://oreilly.com/catalog/errata.csp?isbn=9781491954621 for release details. The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. Learning React, the cover image, and related trade dress are trademarks of O’Reilly Media, Inc. While the publisher and the authors have used good faith efforts to ensure that the information and instructions contained in this work are accurate, the publisher and the authors disclaim all responsibility for errors or omissions, including without limitation responsibility for damages resulting from the use of or reliance on this work. Use of the information and instructions contained in this work is at your own risk. If any code samples or other technology this work contains or describes is subject to open source licenses or the intellectual property rights of others, it is your responsibility to ensure that your use thereof complies with such licenses and/or rights. -
UNIVERSITY of CALIFORNIA SAN DIEGO Simplifying Datacenter Fault
UNIVERSITY OF CALIFORNIA SAN DIEGO Simplifying datacenter fault detection and localization A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Computer Science by Arjun Roy Committee in charge: Alex C. Snoeren, Co-Chair Ken Yocum, Co-Chair George Papen George Porter Stefan Savage Geoff Voelker 2018 Copyright Arjun Roy, 2018 All rights reserved. The Dissertation of Arjun Roy is approved and is acceptable in quality and form for publication on microfilm and electronically: Co-Chair Co-Chair University of California San Diego 2018 iii DEDICATION Dedicated to my grandmother, Bela Sarkar. iv TABLE OF CONTENTS Signature Page . iii Dedication . iv Table of Contents . v List of Figures . viii List of Tables . x Acknowledgements . xi Vita........................................................................ xiii Abstract of the Dissertation . xiv Chapter 1 Introduction . 1 Chapter 2 Datacenters, applications, and failures . 6 2.1 Datacenter applications, networks and faults . 7 2.1.1 Datacenter application patterns . 7 2.1.2 Datacenter networks . 10 2.1.3 Datacenter partial faults . 14 2.2 Partial faults require passive impact monitoring . 17 2.2.1 Multipath hampers server-centric monitoring . 18 2.2.2 Partial faults confuse network-centric monitoring . 19 2.3 Unifying network and server centric monitoring . 21 2.3.1 Load-balanced links mean outliers correspond with partial faults . 22 2.3.2 Centralized network control enables collating viewpoints . 23 Chapter 3 Related work, challenges and a solution . 24 3.1 Fault localization effectiveness criteria . 24 3.2 Existing fault management techniques . 28 3.2.1 Server-centric fault detection . 28 3.2.2 Network-centric fault detection . -
Crawling Code Review Data from Phabricator
Friedrich-Alexander-Universit¨atErlangen-N¨urnberg Technische Fakult¨at,Department Informatik DUMITRU COTET MASTER THESIS CRAWLING CODE REVIEW DATA FROM PHABRICATOR Submitted on 4 June 2019 Supervisors: Michael Dorner, M. Sc. Prof. Dr. Dirk Riehle, M.B.A. Professur f¨urOpen-Source-Software Department Informatik, Technische Fakult¨at Friedrich-Alexander-Universit¨atErlangen-N¨urnberg Versicherung Ich versichere, dass ich die Arbeit ohne fremde Hilfe und ohne Benutzung anderer als der angegebenen Quellen angefertigt habe und dass die Arbeit in gleicher oder ¨ahnlicherForm noch keiner anderen Pr¨ufungsbeh¨ordevorgelegen hat und von dieser als Teil einer Pr¨ufungsleistung angenommen wurde. Alle Ausf¨uhrungen,die w¨ortlich oder sinngem¨aߨubernommenwurden, sind als solche gekennzeichnet. Nuremberg, 4 June 2019 License This work is licensed under the Creative Commons Attribution 4.0 International license (CC BY 4.0), see https://creativecommons.org/licenses/by/4.0/ Nuremberg, 4 June 2019 i Abstract Modern code review is typically supported by software tools. Researchers use data tracked by these tools to study code review practices. A popular tool in open-source and closed-source projects is Phabricator. However, there is no tool to crawl all the available code review data from Phabricator hosts. In this thesis, we develop a Python crawler named Phabry, for crawling code review data from Phabricator instances using its REST API. The tool produces minimal server and client load, reproducible crawling runs, and stores complete and genuine review data. The new tool is used to crawl the Phabricator instances of the open source projects FreeBSD, KDE and LLVM. The resulting data sets can be used by researchers. -
State of Frontend 2020 Is the Biggest Report out There Focused Solely on Frontend Development
1 Experts Yan Cui Tim Neutkens AWS Serverless Hero Head of Next.js at Vercel Marek Gajda Guillermo Rauch CTO of The Software House CEO of Vercel Jessica Jordan Tomek Rudzki Developer Advocate at .cult Head of R&D at Onely Luca Mezzalira Dylan Schiemann VP of Architecture at DAZN CEO of Living Spec Rocky Neurock Bartosz Skowroński Engineering Team Lead Head of Design at Honeypot.io at The Software House 2 Authors Patryk Mamczur Editor in Chief Marcin Gajda Joanna Swoboda Tomasz Kajtoch Magdalena Habarta Wiktor Toporek Kamil Głowiński Andrzej Wysoczański Publication Design Technical Consulting 3 Table of contents Developers 8 01 Everyday frontend development according to 4,500 experts Frameworks 12 02 React is king. But who’s the contender? Hosting 18 03 Traditional DCs, cloud giants and frontend-focused hosting Jamstack 24 04 Ecstatic about static Micro frontends 28 05 Do we need microservice revolution in frontend development? Search engine optimization 32 06 It seems that you don’t care about SEO. Here’s why you should Application accessibility 07 Making the interface friendly for every user 36 4 Development teams 40 08 Frontend development? It’s a team sport Design 44 09 Striving for close collaboration between designers and developers Quality assurance 48 10 Software testing as the cornerstone of software development Future of frontend 52 11 State of Frontend 2021? 5 How many frontend developers took part in the survey? Total answers: 4500 1082 Western Europe 941 North America 333 Central and 6 South America 107 Other 1581 Eastern Europe 1082 Western Europe 303 South and East Asia 73 Middle East 7 01. -
Artificial Intelligence for Understanding Large and Complex
Artificial Intelligence for Understanding Large and Complex Datacenters by Pengfei Zheng Department of Computer Science Duke University Date: Approved: Benjamin C. Lee, Advisor Bruce M. Maggs Jeffrey S. Chase Jun Yang Dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Computer Science in the Graduate School of Duke University 2020 Abstract Artificial Intelligence for Understanding Large and Complex Datacenters by Pengfei Zheng Department of Computer Science Duke University Date: Approved: Benjamin C. Lee, Advisor Bruce M. Maggs Jeffrey S. Chase Jun Yang An abstract of a dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Computer Science in the Graduate School of Duke University 2020 Copyright © 2020 by Pengfei Zheng All rights reserved except the rights granted by the Creative Commons Attribution-Noncommercial Licence Abstract As the democratization of global-scale web applications and cloud computing, under- standing the performance of a live production datacenter becomes a prerequisite for making strategic decisions related to datacenter design and optimization. Advances in monitoring, tracing, and profiling large, complex systems provide rich datasets and establish a rigorous foundation for performance understanding and reasoning. But the sheer volume and complexity of collected data challenges existing techniques, which rely heavily on human intervention, expert knowledge, and simple statistics. In this dissertation, we address this challenge using artificial intelligence and make the case for two important problems, datacenter performance diagnosis and datacenter workload characterization. The first thrust of this dissertation is the use of statistical causal inference and Bayesian probabilistic model for datacenter straggler diagnosis. -
Unicorn: a System for Searching the Social Graph
Unicorn: A System for Searching the Social Graph Michael Curtiss, Iain Becker, Tudor Bosman, Sergey Doroshenko, Lucian Grijincu, Tom Jackson, Sandhya Kunnatur, Soren Lassen, Philip Pronin, Sriram Sankar, Guanghao Shen, Gintaras Woss, Chao Yang, Ning Zhang Facebook, Inc. ABSTRACT rative of the evolution of Unicorn's architecture, as well as Unicorn is an online, in-memory social graph-aware index- documentation for the major features and components of ing system designed to search trillions of edges between tens the system. of billions of users and entities on thousands of commodity To the best of our knowledge, no other online graph re- servers. Unicorn is based on standard concepts in informa- trieval system has ever been built with the scale of Unicorn tion retrieval, but it includes features to promote results in terms of both data volume and query volume. The sys- with good social proximity. It also supports queries that re- tem serves tens of billions of nodes and trillions of edges quire multiple round-trips to leaves in order to retrieve ob- at scale while accounting for per-edge privacy, and it must jects that are more than one edge away from source nodes. also support realtime updates for all edges and nodes while Unicorn is designed to answer billions of queries per day at serving billions of daily queries at low latencies. latencies in the hundreds of milliseconds, and it serves as an This paper includes three main contributions: infrastructural building block for Facebook's Graph Search • We describe how we applied common information re- product. In this paper, we describe the data model and trieval architectural concepts to the domain of the so- query language supported by Unicorn. -
The Mobile Phone That Lets You Cheat at ANY Card Game: Handset Has
2/18/2018 The mobile phone that lets you cheat at ANY card game | Daily Mail Online Feedback Monday, Feb 19th 2018 3AM 47°F 6AM 45°F 5Day Forecast Home U.K. News Sports U.S. Showbiz Australia Femail Health Science Money Video Travel Columnists DailyMailTV Latest Headlines Science Pictures Coupons Login Ad Hiring a Property Manager? - Now is the Perfect Time Save Yourself A Headache. Find A Local Certied Property Manager Today! VISIT SITE The mobile phone that lets you cheat Site Web Enter your search at ANY card game: Handset has secret sensors to read cards Researcher shares a cheating device that is almost impossible to detect Eli Bursztein purchased what looks like a Samsung smartphone for $1,300 Has a hidden camera and IR LEDs on the side to read each card in the deck Sequences of black spots created by the IR shows the suit and value Everything is then displayed in an app on the device for players to read By STACY LIBERATORE FOR DAILYMAIL.COM PUBLISHED: 17:09 EST, 24 October 2016 | UPDATED: 18:14 EST, 24 October 2016 10 3 shares View comments Counting cards, hand mucking and bottom dealing are all common ways to cheat while playing card games, but are also easily detected. Now, a Google researcher has revealed a gadget that looks and functions like a smartphone - but with software and hardware designed for cheating at cards. An app reads markings on each card with a hidden camera, and can analyse the patterns to determine the card’s suit and value to help the player decide their next move. -
2.3 Apache Chemistry
UNIVERSITY OF DUBLIN TRINITY COLLEGE DISSERTATION PRESENTED TO THE UNIVERSITY OF DUBLIN,TRINITY COLLEGE IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF MAGISTER IN ARTE INGENIARIA Content Interoperability and Open Source Content Management Systems An implementation of the CMIS standard as a PHP library Author: Supervisor: MATTHEW NICHOLSON DAVE LEWIS Submitted to the University of Dublin, Trinity College, May, 2015 Declaration I, Matthew Nicholson, declare that the following dissertation, except where otherwise stated, is entirely my own work; that it has not previously been submitted as an exercise for a degree, either in Trinity College Dublin, or in any other University; and that the library may lend or copy it or any part thereof on request. May 21, 2015 Matthew Nicholson i Summary This paper covers the design, implementation and evaluation of PHP li- brary to aid in use of the Content Management Interoperability Services (CMIS) standard. The standard attempts to provide a language indepen- dent and platform specific mechanisms to better allow content manage- ment systems (CM systems) work together. There is currently no PHP implementation of CMIS server framework available, at least not widely. The name given to the library is Elaphus CMIS. The implementation should remove a barrier for making PHP CM sys- tems CMIS compliant. Aswell testing how language independent the stan- dard is and look into the features of PHP programming language. The technologies that are the focus of this report are: CMIS A standard that attempts to structure the data within a wide range of CM systems and provide standardised API for interacting with this data. -
Andrew Keats
Andrew Keats Genera Experienc Nationality British Aug 2019 - May 2020 Front-end Team Lead Date of Birth 12 November 1983 Toggle, Led delivery of a greenfield 187 Wardour Street, React-TypeScript SPA trading insight Soho app; complex data-driven UI using D3. Contac London Front-end Architect. In charge of a Telephone 07931998868 W1F 8ZB team of front-end developers; defined Email a [email protected] requirements, managed workloads. Defined best practices and set-up automated linting, unit tests and code Skill & Technologie quality processes. Responsible for CI Client & Front-end Development pipeline in GitLab, using Docker, Web Browser: TypeScript/JavaScript (ES5-2017, OO & NodeJS, and Kubernetes. Functional); Svelte, React, Aurelia, Backbone (SPA frameworks); Ramda, Lo-Dash, jQuery, (utility libraries); CSS, Oct 2018 – Aug 2019 Lead Front-end Developer SASS, PostCSS; HTML5 & Markdown; XML & XSLT. Equal Experts, Delivering a greenfield front-end service Desktop and Mobile: C#; .Net WinForms; Unity. 30 Brock St, for John Lewis, using GCP, Docker, Build tools: Parcel; Rollup; Webpack; Gulp; Grunt; Browserify. Kings Cross, NodeJS, isomorphic React with ES6 Test tools: RTL, Enzyme; Jest, Mocha, Karma, Jasmine; Cypress, London and modular SCSS. YAML driven CI. Selenium, ScalaTest.. NW1 3FG TDD using Jest; ATs using Kotlin and ChromeDriver. Back-end Development Server-side UIs: NodeJS with Polka/Express on GCP/Heroku, Apr 2017 – Sep 2017 Senior Front-end Developer SSR Svelte/React; Use of Scala with the Play framework & Clarksons Platou, Helping to deliver the front-end of a some Java; Experience with MS .Net (2-4), C#, use of DNN Commodity Quay, real-time, global shipping brokerage CMS and Episerver CMS; Experience with the Django St Katharine's & platform using TypeScript, Aurelia, AG framework; Some PHP (Wordpress & Laravel). -
Markus Hatvan, Bsc
Markus Hatvan, BSc Date of birth: 10th December 1990 Address: St.-Veit-Gasse 20, A-1130 Vienna Nationality: Austria Phone: +436647986649 E-Mail: [email protected] Website: https://markushatvan.com Work experience 1.4.2019 - 30.4.2020 Full Stack Developer at ecosio (Full-time) Tech-Stack: React, Redux, Semantic UI, Storybook, Java Spring, ElasticSearch, MongoDB, Testcafe, Slack, Gitlab, Kibana, Swagger UI 7.1.2019 - 31.3.2019 Frontend Developer at Celum (Full-time) Tech-Stack: Angular, Typescript, RxJS, Material UI, Jasmine, Java Spring, Teams, SVN, Jenkins CI, Swagger UI 1.12.2016 - 31.8.2018 Frontend Developer at Waytation (Full-time) Tech-Stack: Angular, Typescript, RxJS, Bootstrap, SCSS, Google Charts, Protractor, JIRA, Confluence, Gitlab 3.10.2016 - 2.1.2017 Frontend Developer at ChillBill (Internship) Tech-Stack: HAML, SCSS, MeteorJS, React, Middleman, Slack, Github, Waffle.io Projects 26.04.2021 - present Development of website for MediaMarktSaturn Tech-Stack: React, Typescript, GraphQL, Styled Components, Node.js, Contentful CMS, Storybook, Jira, Confluence 16.03.2021 - 31.05.2021 Website Relaunch for Denovo Tech-Stack: React, Gatsby, Typescript, GraphQL, Tailwind UI, Node.js, Contentful CMS, Hubspot API, Usercentrics, Workable API, Google Tag Manager, Heroku, Jira 14.03.2021 - 29.03.2021 Technical writer for DebugBear Writing documentation about Google Web Vitals topics like “Time To Interactive” and “First Input Delay” 01.03.2021 - 10.03.2021 Development of involve.me for involve.me Tech-Stack: VueJS, JQuery, Laravel 01.02.2021 -
Developing an Information System Solution with React
DEVELOPING AN INFORMATION SYSTEM SOLUTION WITH REACT Case: FPT Information System (FIS) LAB UNIVERSITY OF APPLIED SCIENCES LTD Degree programme in Business Information Technology Bachelor’s Thesis Autumn 2020 Viet Linh Vu Abstract Author Type of publication Published VU, VIET LINH Bachelor’s Thesis, UAS Autumn 2020 Number of pages Supervisor 39 Aki Vainio Title of publication Developing an Information System solution with React Case: FPT Information System (FIS) Name of Degree Bachelor of Business Administration, Business Information Technology Abstract The subject of front-end JavaScript frameworks has been a popular topic for discussion within the IT community recently. Over the recent years there has been a numerous number of frameworks released on the market. These frameworks varied in terms of features and performances, and they all offer various options and benefits for front-end development, which can be challenging for new developers to choose the right framework for their project. The research presented in this thesis focused on the React JavaScript library, developed by Facebook. Multiple articles and studies regarding React were used to demonstrate the unique features and the benefits as well as drawbacks of the library. Furthermore, the thesis also covered some additional theory on two other equally popular and frequently used frameworks, Angular and Vue, to provide a comparison of these frameworks. A case study was also used for this research to provide a practical example of how React was implemented for the development of an IT solution. The thesis went through a detailed process of describing the usage of React in this case study to provide an evaluation of how React affected the project development.