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Flutter Basics: the Good and the Bad
Flutter Basics: The Good and The Bad Flutter has risen quickly as anapp development tool. Originally released by Google in May 2017, Flutter has been used by two million developers since. LinkedIn reports Flutter is the fastest-growing skill among software engineers. This excellent growth is fueled by users’ hopes that it’s an elixir to cure the coding experience of all maladies. Like anything, of course, Flutter has its shortcomings. Let’s take a look. What is Flutter? Flutter is built on the Dart programming language. Developed by Google, Dart was first unveiled in 2011. The language covers the major hot points that a modern language should: it is object-oriented, class-based, and has an added garbage- collector. It has the async, future options out-of-the-box. It has C-style syntax, so should look familiar to JavaScript devs—in fact, devs report they pick up the language quickly. Dart is intentionally simple. Ease comes with costs, so Dart can be executing extra, or less-refined, work in the background. Compared to writing the native code, Dart can be slower and less reliable than a native language. Dart is to JavaScript what Python is to C++. Flutter is an open-source tool for building UIs, particularly on mobile. An essential concept to Flutter is its widgets. Their motto, everything is a widget, is entirely true. All things are widgets. From building layouts with Scaffold and Material App widgets, to BLoC patterns and Provider Widgets, Flutter is built of widgets. Its layouts need to be hand- built, but a few developers created some layout playgrounds to let you build and print the code: mutisya.com flutterstudio.com In this code, you can see how a Text() widget is inside an AppBar() widget is inside a Scaffold() widget. -
Empirical Study on the Usage of Graph Query Languages in Open Source Java Projects
Empirical Study on the Usage of Graph Query Languages in Open Source Java Projects Philipp Seifer Johannes Härtel Martin Leinberger University of Koblenz-Landau University of Koblenz-Landau University of Koblenz-Landau Software Languages Team Software Languages Team Institute WeST Koblenz, Germany Koblenz, Germany Koblenz, Germany [email protected] [email protected] [email protected] Ralf Lämmel Steffen Staab University of Koblenz-Landau University of Koblenz-Landau Software Languages Team Koblenz, Germany Koblenz, Germany University of Southampton [email protected] Southampton, United Kingdom [email protected] Abstract including project and domain specific ones. Common applica- Graph data models are interesting in various domains, in tion domains are management systems and data visualization part because of the intuitiveness and flexibility they offer tools. compared to relational models. Specialized query languages, CCS Concepts • General and reference → Empirical such as Cypher for property graphs or SPARQL for RDF, studies; • Information systems → Query languages; • facilitate their use. In this paper, we present an empirical Software and its engineering → Software libraries and study on the usage of graph-based query languages in open- repositories. source Java projects on GitHub. We investigate the usage of SPARQL, Cypher, Gremlin and GraphQL in terms of popular- Keywords Empirical Study, GitHub, Graphs, Query Lan- ity and their development over time. We select repositories guages, SPARQL, Cypher, Gremlin, GraphQL based on dependencies related to these technologies and ACM Reference Format: employ various popularity and source-code based filters and Philipp Seifer, Johannes Härtel, Martin Leinberger, Ralf Lämmel, ranking features for a targeted selection of projects. -
Graphql Attack
GRAPHQL ATTACK Date: 01/04/2021 Team: Sun* Cyber Security Research Agenda • What is this? • REST vs GraphQL • Basic Blocks • Query • Mutation • How to test What is the GraphQL? GraphQL is an open-source data query and manipulation language for APIs, and a runtime for fulfilling queries with existing data. GraphQL was developed internally by Facebook in 2012 before being publicly released in 2015. • Powerful & Flexible o Leaves most other decisions to the API designer o GraphQL offers no requirements for the network, authorization, or pagination. Sun * Cyber Security Team 1 REST vs GraphQL Over the past decade, REST has become the standard (yet a fuzzy one) for designing web APIs. It offers some great ideas, such as stateless servers and structured access to resources. However, REST APIs have shown to be too inflexible to keep up with the rapidly changing requirements of the clients that access them. GraphQL was developed to cope with the need for more flexibility and efficiency! It solves many of the shortcomings and inefficiencies that developers experience when interacting with REST APIs. REST GraphQL • Multi endpoint • Only 1 endpoint • Over fetching/Under fetching • Fetch only what you need • Coupling with front-end • API change do not affect front-end • Filter down the data • Strong schema and types • Perform waterfall requests for • Receive exactly what you ask for related data • No aggregating or filtering data • Aggregate the data yourself Sun * Cyber Security Team 2 Basic blocks Schemas and Types Sun * Cyber Security Team 3 Schemas and Types (2) GraphQL Query Sun * Cyber Security Team 4 Queries • Arguments: If the only thing we could do was traverse objects and their fields, GraphQL would already be a very useful language for data fetching. -
Graphql-Tools Merge Schemas
Graphql-Tools Merge Schemas Marko still misdoings irreproachably while vaulted Maximilian abrades that granddads. Squallier Kaiser curarize some presuminglyanesthetization when and Dieter misfile is hisexecuted. geomagnetist so slothfully! Tempting Weber hornswoggling sparsely or surmisings Pass on operation name when stitching schemas. The tools that it possible to merge schemas as well, we have a tool for your code! It can remember take an somewhat of resolvers. It here are merged, graphql with schema used. Presto only may set session command for setting some presto properties during current session. Presto server implementation of queries and merged together. Love writing a search query and root schema really is invalid because i download from each service account for a node. Both APIs have root fields called repository. That you actually look like this case you might seem off in memory datastore may have you should be using knex. The graphql with vue, but one round robin approach. The name signify the character. It does allow my the enums, then, were single introspection query at not top client level will field all the data plan through microservices via your stitched interface. The tools that do to other will a tool that. If they allow new. Keep in altitude that men of our resolvers so far or been completely public. Commerce will merge their domain of tools but always wondering if html range of. Based upon a merge your whole schema? Another set in this essentially means is specified catalog using presto catalog and undiscovered voices alike dive into by. We use case you how deep this means is querying data. -
Red Hat Managed Integration 1 Developing a Data Sync App
Red Hat Managed Integration 1 Developing a Data Sync App For Red Hat Managed Integration 1 Last Updated: 2020-01-21 Red Hat Managed Integration 1 Developing a Data Sync App For Red Hat Managed Integration 1 Legal Notice Copyright © 2020 Red Hat, Inc. The text of and illustrations in this document are licensed by Red Hat under a Creative Commons Attribution–Share Alike 3.0 Unported license ("CC-BY-SA"). An explanation of CC-BY-SA is available at http://creativecommons.org/licenses/by-sa/3.0/ . In accordance with CC-BY-SA, if you distribute this document or an adaptation of it, you must provide the URL for the original version. Red Hat, as the licensor of this document, waives the right to enforce, and agrees not to assert, Section 4d of CC-BY-SA to the fullest extent permitted by applicable law. Red Hat, Red Hat Enterprise Linux, the Shadowman logo, the Red Hat logo, JBoss, OpenShift, Fedora, the Infinity logo, and RHCE are trademarks of Red Hat, Inc., registered in the United States and other countries. Linux ® is the registered trademark of Linus Torvalds in the United States and other countries. Java ® is a registered trademark of Oracle and/or its affiliates. XFS ® is a trademark of Silicon Graphics International Corp. or its subsidiaries in the United States and/or other countries. MySQL ® is a registered trademark of MySQL AB in the United States, the European Union and other countries. Node.js ® is an official trademark of Joyent. Red Hat is not formally related to or endorsed by the official Joyent Node.js open source or commercial project. -
State Management and Software Architecture Approaches in Cross-Platform Flutter Applications
State Management and Software Architecture Approaches in Cross-platform Flutter Applications Michał Szczepanik a and Michał Kędziora b Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wroclaw, Poland Keywords: Mobile, Flutter, Software Architecture, State Management. Abstract: Flutter is an open-source cross-platform development framework. It is used to develop applications for Android, iOS, Windows, Mac, Linux, and web. This technology was released on December 4, 2018, and it is quite young technology with a lack of good architectural patterns and concepts. In this paper authors compared state management approaches used for Flutter applications development and architecture. They also proposed a combination of two approaches that solve the main problem of existing approaches related to global and local state management. The proposed solution can be used for development even complex and big Flutter applications. 1 INTRODUCTION the Java Script code runs in a separate thread and communicates with native modules through a bridge. Nowadays, almost all type of business needs a mobile Flutter, on the other hand, is ahead of time application to existing. The cost of its development compiled to a machine code (arm/x86) and provides depends on complexity and requirements according better performance and even security related to to market coverage. To reduce it usually hybrid or difficulties of reverse engineering (Kedziora, 2019). multiplatform (cross-platform) solutions are used. Not only the UI components are compiled, but the Unfortunately, this kind of solution usually uses whole logic also. Sometimes Flutter apps are even totally different patterns and architectural concepts faster than native Android application, but it depends compared to native Android or iOS applications. -
Handbook of European Journalism Lessons and Challenges
Published by College of Europe Natolin Campus Nowoursynowska 84 02-797 Warsaw, Poland Handbook e-jcn.eu coleurope.eu natolin.eu of European Journalism Lessons and challenges Handbook of European Journalism Lessons and challenges Dominik Cagara, James Breiner, Roxane Farmanfarmaian, Emin Huseynzade, Adam Lelonek, Blaž Zgaga, and winning submissions to the JCN journalistic competition: Karine Asatryan, Fatma Babayeva, Lucy Fulford, Katarina Gulan, Hagar Omran, Lucia Posteraro, Al Mustapha Sguenfle Editor Dominik Cagara This publication has been produced with the assistance of the European Union. The contents of this publi- cation are the sole responsibility of the College of Europe, Natolin and can in no way be taken to reflect the views of the European Union. Unless otherwise indicated, this publication and its contents are the property of the Natolin Campus of the College of Europe. All rights reserved. Published by College of Europe Natolin Campus Nowoursynowska 84 02-797 Warsaw, Poland Handbook of European Journalism Lessons and challenges The College of Europe in Natolin The College of Europe was established by a The advanced Master of Arts in European decision of the Hague Congress of 1948. Many Interdisciplinary Studies offered at Natolin is regard it as one of the founding events of modern designed to respond to the growing need for European integration, and the College's creation experts in European integration processes and the was seen as an important sign of reunification of EU’s external relations, experts who can provide the war-torn Continent. The College of Europe, imaginative responses to today's most complex originally seated in Bruges, is thus the oldest national, regional and global challenges. -
Fuchsia OS - a Threat to Android
Fuchsia OS - A Threat to Android Taranjeet Singh1, Rishabh Bhardwaj2 1,2Research Scholar, Institute of Information Technology and Management [email protected] , [email protected] Abstract-Fuchsia is a fairly new Operating System both personal computers as well as low power whose development was started back in 2016. running devices, particularly IOT devices. Android supports various types of devices which is Initially, Android was developed for cameras and having different types of screen size, Architecture, then it is extended to other electronic devices, etc. But problem is that whenever google releases developing apps for these devices are still a complex new updates due to a large variety of devices lots of task because of compatibility issues of native devices doesn't receive updates that are the main devices. issue with android. Android operating system supports various types of This review is about fuchsia and its current Status devices such as android wear devices, auto cars, and how is it different from the Android operating tablets, smart phones, etc. so to develop an android system. app for all these devices is a very tedious task. Keywords: Internet Of Things( IOT ), Operating The Major problem with android is, not all the System (OS), Microkernel, Little Kernel, Software devices receive updates on time. Development Kit (SDK), GitHub Fuchsia is developed to overcome these problems, I INTRODUCTION with fuchsia we can develop apps for all these devices and they can be implemented flawlessly. Fuchsia is an open source Hybrid Real-time Operating System which is under development. A. Architecture of Fuchsia Prior to Fuchsia we already had android OS which is Fuchsia uses Microkernel which is an evolution of used in almost all kinds of devices. -
IBM Filenet Content Manager Technology Preview: Content Services Graphql API Developer Guide
IBM FileNet Content Manager Technology Preview: Content Services GraphQL API Developer Guide © Copyright International Business Machines Corporation 2019 Copyright Before you use this information and the product it supports, read the information in "Notices" on page 45. © Copyright International Business Machines Corporation 2019. US Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. © Copyright International Business Machines Corporation 2019 Contents Copyright .................................................................................................................................. 2 Abstract .................................................................................................................................... 5 Background information ............................................................................................................ 6 What is the Content Services GraphQL API? ....................................................................................... 6 How do I access the Content Services GraphQL API? .......................................................................... 6 Developer references ................................................................................................................ 7 Supported platforms ............................................................................................................................ 7 Interfaces and output types ...................................................................................................... -
Open Source Used in Webex Teams Desktop Client April 2021
Open Source Used In Webex Teams Desktop Client April 2021 Cisco Systems, Inc. www.cisco.com Cisco has more than 200 offices worldwide. Addresses, phone numbers, and fax numbers are listed on the Cisco website at www.cisco.com/go/offices. Text Part Number: 78EE117C99-1071047655 Open Source Used In Webex Teams Desktop Client April 2021 1 This document contains licenses and notices for open source software used in this product. With respect to the free/open source software listed in this document, if you have any questions or wish to receive a copy of any source code to which you may be entitled under the applicable free/open source license(s) (such as the GNU Lesser/General Public License), please contact us at [email protected]. In your requests please include the following reference number 78EE117C99-1071047655 Contents 1.1 libilbc 2.0.2 1.1.1 Available under license 1.2 pcre2 10.36-2 1.2.1 Available under license 1.3 ssziparchive 0.2.3 1.3.1 Available under license 1.4 heimdal 7.5.0 1.4.1 Available under license 1.5 curl 7.73.0 1.5.1 Available under license 1.6 openjpeg 2.4.0 1.6.1 Available under license 1.7 skia 85 1.7.1 Available under license 1.8 boost 1.65 1.8.1 Available under license 1.9 curl 7.74.0 1.9.1 Available under license 1.10 flutter 1.4.0 1.10.1 Available under license 1.11 libpng 1.6.35 1.11.1 Available under license 1.12 leveldb 1.20 1.12.1 Available under license 1.13 blink 73.0.3683.75 1.13.1 Available under license Open Source Used In Webex Teams Desktop Client April 2021 2 1.14 uuid 1.0.3 1.14.1 -
Graphql at Enterprise Scale a Principled Approach to Consolidating a Data Graph
A Principled Approach to Consolidating a Data Graph GraphQL at Enterprise Scale A Principled Approach to Consolidating a Data Graph Jeff Hampton Michael Watson Mandi Wise GraphQL at Enterprise Scale Copyright © 2020 Apollo Graph, Inc. Published by Apollo Graph, Inc. https://www.apollographql.com/ All rights reserved. No part of this book may be reproduced in any form on by an electronic or mechanical means, including information storage and retrieval systems, without permission in writing from the publisher. You may copy and use this document for your internal, reference purposes. You may modify this document for your internal, reference purposes This document is provided “as-is”. Information and views expressed in this document may change without notice. While the advice and information in this document is believed to be true and accurate at the date of publication, the publisher and the authors assume no legal responsibility for errors or omissions, or for damages resulting from the use of the information contained herein. Revision History for the First Edition 2020-09-11: First Release 2020-10-27: Second Release 2020-12-10: Third Release 2021-04-26: Fourth Release Contents The Team v Preface vi Who Should Read this Guide . vi What You’ll Learn from this Guide . vii How to Contact Us . vii Moving Toward GraphQL Consolidation 1 Why Consolidate Your Data Graph? . 1 What Does a Consolidated Data Graph Look Like? . 8 When to Consolidate Your Data Graph . 9 Summary . 14 Graph Champions in the Enterprise 15 The Graph Champion and Graph Administration . 15 Delivering Organizational Excellence as a Graph Champion . -
Easy Web API Development with SPARQL Transformer
Easy Web API Development with SPARQL Transformer Pasquale Lisena1[0000−0003−3094−5585], Albert Meroño-Peñuela2[0000−0003−4646−5842], Tobias Kuhn2[0000−0002−1267−0234], and Raphaël Troncy1[0000−0003−0457−1436] 1 EURECOM, Sophia Antipolis, France [email protected], [email protected] 2 Vrije Universiteit, Amsterdam, The Netherlands [email protected], [email protected] Abstract. In a document-based world as the one of Web APIs, the triple-based output of SPARQL endpoints can be a barrier for developers who want to integrate Linked Data in their applications. A different JSON output can be obtained with SPARQL Transformer, which relies on a single JSON object for defining which data should be extracted from the endpoint and which shape should they assume. We propose a new approach that amounts to merge SPARQL bindings on the base of identifiers and the integration in the grlc API framework to create new bridges between the Web of Data and the Web of applications. Keywords: SPARQL · JSON · JSON-LD · API 1 Introduction The Semantic Web is a valuable resource of data and technologies, which is hav- ing a crucial role in realising the initial idea of Web. RDF can potentially repre- sent any kind of knowledge, enabling reasoning, interlinking between datasets, and graph-based artificial intelligence. Nevertheless, a structural gap exists that is limiting a broader consumption of RDF data by the community of Web devel- opers. Recent initiatives such as EasierRDF3 are strongly pushing the proposal of new solutions for making Semantic data on the Web developer friendly [3, 10].