AWS |
AWS Podcast |
#479: [INTRODUCING] Amazon EKS Anywhere |
https://aws.amazon.com/podcasts/aws-podcast/#479
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INTRODUCING Amazon EKS AnywhereAmazon EKS Anywhere is a new deployment option for Amazon EKS that allows customers to create and operate Kubernetes clusters on customer managed infrastructure supported by AWS Customers can now run Amazon EKS Anywhere on their own on premises infrastructure In this episode Jackson West Software Development Manager and Vipin Mohan Product Manager join Simon to discuss customer problems that EKS Anywhere solves and how you can get started with EKS Anywhere Amazon EKS Anywhere Download and get started Blog Demo |
2021-10-17 19:32:39 |
python |
Pythonタグが付けられた新着投稿 - Qiita |
AtCoder Beginner Contest 223 参戦記 |
https://qiita.com/c-yan/items/04ba92d45584900c093b
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2021-10-18 04:57:45 |
js |
JavaScriptタグが付けられた新着投稿 - Qiita |
JavaScriptの画面描画後の実行タイミングについて |
https://qiita.com/314_programming/items/7f61c8fd44140a4d1d10
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2021-10-18 04:11:58 |
海外TECH |
DEV Community |
Abstract Factory |
https://dev.to/gauravratnawat/abstract-factory-haf
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Abstract Factory Creational Design PatternAbstract Factory When to useTo support families of related or dependent objects To encapsulate platform dependencies to make an application portable To prevent client code from using the new operator To easily swap the underlying platform with minimal changes IntentProvide an interface for creating families of related or dependent objects without specifying their concrete classes ComponentsAn Abstract Factory class public Factory Implementations for various familes protected Interfaces for various products public Set of product implementations for various families protected Structure ImplementationDefine interfaces for different types products objects Each family will have all these parts package com gaurav abstractfactory public interface Engine public void design public void manufacture public void test package com gaurav abstractfactory public interface Tyre public void design public void manufacture Create sets of implementation subclasses for the above interfaces Classes are access protected to prohibit instantiations in client modules using the new operator package com gaurav abstractfactory class CarEngine implements Engine Override public void design System out println Designing Car Engine Override public void manufacture System out println Manufacturing Car Engine Override public void test System out println Testing Car Engine package com gaurav abstractfactory class CarEngine implements Engine Override public void design System out println Designing Car Engine Override public void manufacture System out println Manufacturing Car Engine Override public void test System out println Testing Car Engine package com gaurav abstractfactory class CarTyre implements Tyre Override public void design System out println Designing Car Tyre Override public void manufacture System out println Manufacturing Car Tyre package com gaurav abstractfactory class TruckTyre implements Tyre Override public void design System out println Designing Truck Tyre Override public void manufacture System out println Manufacturing Truck Tyre Create a Abstract Factory class with factory method getFactory Clients can use this method to get an object the required factory This example uses both Singleton and Factory Method patterns for better design package com gaurav abstractfactory public abstract class Factory Singleton Factory objects private static Factory carFactory null private static Factory truckFactory null public abstract Engine getEngine public abstract Tyre getTyre This is the factory method exposed to the client Client requests for a factory instance by passing the type Client does not need to know about which amp how object is created internally public static Factory getFactory String vehicleType throws UnknownVehicleException if vehicleType null return null Factory factory null switch vehicleType case car if carFactory null carFactory new CarFactory factory carFactory break case truck if truckFactory null truckFactory new TruckFactory factory truckFactory break default throw new UnknownVehicleException return factory Create Factory implementations Classes are protected to prohibit direct access in client modules package com gaurav abstractfactory class CarFactory extends Factory Override public Engine getEngine return new CarEngine Override public Tyre getTyre return new CarTyre package com gaurav abstractfactory public class TruckFactory extends Factory TruckFactory Override public Engine getEngine return new TruckEngine Override public Tyre getTyre return new TruckTyre The client code Client is exposed to only the Abstract Factory class and the interfaces package com gaurav client import java util Scanner import com gaurav abstractfactory Engine import com gaurav abstractfactory Factory import com gaurav abstractfactory Tyre import com gaurav abstractfactory UnknownVehicleException public class AbstractFactoryClient public static void main String args Scanner in new Scanner System in String vehicleType in nextLine toLowerCase Get the factory instance Factory factory try factory Factory getFactory vehicleType Get the Engine from the factory Engine engine factory getEngine engine design engine manufacture engine test Get the Tyre from the factory Tyre tyre factory getTyre tyre design tyre manufacture catch UnknownVehicleException e System out println Invalid vehicle type entered in close Output input Car output Designing Car Engine Manufacturing Car Engine Testing Car Engine Designing Car Tyre Manufacturing Car Tyre input Bus output Invalid vehicle type entered BenefitsLoosely coupled code Abstract Factory provides a single point of access for all products in a family New product family can be easily supported DrawbacksMore layers of abstraction increases complexity If there are any changes to any underlying detail of one factory the interface might need to be modified for all the factories Real World ExamplesProviding data access to two different data sources e g a SQL Database and a XML file You have two different data access classes a gateway to the datastore Both inherit from a base class that defines the common methods to be implemented e g Load Save Delete Which data source shall be used shouldn t change the way client code retrieves it s data access class Your Abstract Factory knows which data source shall be used and returns an appropriate instance on request The factory returns this instance as the base class type Software ExamplesDependency Injection Java SDK Examplesjavax xml parsers DocumentBuilderFactory newInstance javax xml transform TransformerFactory newInstance javax xml xpath XPathFactory newInstance |
2021-10-17 19:38:03 |
海外TECH |
DEV Community |
Amazon Textract with expense analyzing |
https://dev.to/aws-builders/amazon-textract-with-expense-analyzing-516b
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Amazon Textract with expense analyzingAmazon Textract now supports receipts and invoices processing which makes expense management systems analyze better with only receipt s or invoice s image or document Read more about the announcement Key takeaways from the blogWhat is Textract How Textract processes receipts and invoicesImplementing Textract with NodeJS SDK What is Textract Amazon Textract is a fully managed Machine Learning service which extract textual information from documents and images The Textract DetectDocumentText API is capable of detecting and extracting textual data which are handwritten or typed present either as texts forms or tables in the document or image Common use cases of Textract are Data capture from forms Automating certain processes similar to KYC process Jeff Barr ️ jeffbarr Cool demo video mikegchambers Amazon Textract Handwriting Recognition New youtube com watch v Efbgai… Be sure to fill in those TPS Reports PM Nov Danilo Poccia danilop Improve newspaper digitalization efficacy with a generic document segmentation tool using Amazon Textract buff ly xFEKnp AWS MachineLearning PM Jun And more use cases available on Amazon Textract documentation Textract exposes the following SDK APIs for developers to integrate AnalyzeDocument documentation AnalyzeExpense documentation DetectDocumentText documentation GetDocumentAnalysis documentation GetDocumentTextDetection documentation StartDocumentAnalysis documentation StartDocumentTextDetection documentation With Textract the processing of images or documents can be handled synchronously or asynchronous StartDocumentAnalysis GetDocumentAnalysis and StartDocumentTextDetection GetDocumentTextDetection are the asynchronous implementation of Amazon Textract and whenever the action start StartDocumentAnalysis and StartDocumentTextDetection is executed it returns a JobID which is referred to when getting the data Textract APIs are flexible to take either document image buffer data or the object stored on S to process and extract textual information Python samples are available in GitHub awsdocs aws samples amazon textract code samples Amazon Textract Code Samples Amazon Textract Code SamplesThis repository contains example code snippets showing how Amazon Textract and other AWS services can be used to get insights from documents Usagepython detect text local pyFor examples that use S bucket upload sample images to an S bucket and update variable sBucketName in the example before running it Python SamplesArgumentDescription detect text local pyExample showing processing a document on local machine detect text s pyExample showing processing a document in Amazon S bucket reading order pyExample showing printing document in reading order nlp comprehend pyExample showing detecting entities and sentiment nlp medical pyExample showing detecting medical entities translate pyExample showing translation of documents search pyExample showing document indexing in Elasticsearch forms pyExample showing form key value processing forms redaction pyExample showing redacting information in document tables pyExample showing table processing tables expense pyExample showing validation of table data pdf text pyExample showing PDF document processing NET UsageUsage dotnet run switch To run this console… View on GitHubNodeJS samples are in an open pull request Added NodeJS samples zachjonesnoel posted on Sep Issue if available Description of changes Added NodeJS text detect samples By submitting this pull request I confirm that you can use modify copy and redistribute this contribution under the terms of your choice View on GitHub How Textract processes receipts and invoices Textract AnalyzeExpense API processes the data and extracts the key information from the document such as Vendor names Receipt number or Invoice number AnalyzeExpense API is available only in the latest version of SDK as this is one of the new functions available now So ensure you have updated your SDK Starting today Amazon Textract adds the following capabilities for receipts and invoices Identifies Vendor Name Amazon Textract can find the vendor name on a receipt even if it s only indicated within a logo on the page without an explicit label called “vendor It can also find and extract item quantity and prices that are not labeled with column headers for line items Enables consolidation of output from many documents Textract normalizes keynames and column headers when extracting data from invoices and receipts into a standard taxonomy For example it detects that “invoice no “invoice number and “receipt are identical and outputs “INVOICE RECEIPT ID so that downstream applications can easily compare output from many documents and Extracts line item details even when the column headers are missing Textract extracts line items including items quantities and prices of individual goods purchased from an invoice or a receipt If the table of line items does not include column headers Textract now infers what the column headers are meant to be based on the table content As described in the announcement This makes it easier for systems which are integrating Textract to manage expense analysis with the consolidated information Implementing Textract with NodeJS SDK In this walkthrough we will be using the AnalyzeExpense and AnalyzeDocument API from Textract To get started you can navigate to Amazon Textract AWS Console from where you will be able to run Textract on sample documents and view the response pretty formatted on the console Image used for the demo When using AnalyzeDocument from the console SDK API you would have to use what type of feature you want to extract From SDK API you would have to pass the input for FeatureTypes as TABLES or FORMS if you are trying this from the console you can additionally extract all the text as RAW TEXT also Raw text Forms Tables var params Document SObject Bucket xxxxxx Name download jfif FeatureTypes TABLES FORMS let response await textract analyzeDocument params promise return responseResponse available on GitHub GistFor AnalyzeExpense API from the console and SDK API you will get the response with both SummaryFields and LineItemFields Summary fields Line item fields var params Document SObject Bucket xxxxxx Name download jfif let response await textract analyzeExpense params promise return responseResponse available on GitHub Gist PricingAmazon Textract s pricing varies upon the API that is executed as internally it uses OCR technology to process and extract textual information Also based on the feature type it focuses to extract either FORM or TABLE data Detailed information on pricing is available on Textract pricing page ConclusionAmazon Textract enables applications to integrate with SDK APIs so that the documents or images with textual data from various representations of text in form of raw text forms tables are easily extratable Now with the expense analysis support Textract goes a level ahead to consolidate the items and also extract key information from the invoice or receipts Textract also provides the confidence level percentage of the extracted text making it a choice for the integrating applications to either consider it or neglect it |
2021-10-17 19:09:50 |
Apple |
AppleInsider - Frontpage News |
MacBook Air's 2022 update could add notch to the display |
https://appleinsider.com/articles/21/10/17/macbook-airs-2022-update-could-add-notch-to-the-display?utm_medium=rss
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MacBook Air x s update could add notch to the displayThe rumors of the infamous iPhone notch moving over to the MacBook Pro line could just be the start with a leaker claiming the MacBook Air could use the same design concept On Saturday a leak from Chinese social media suggested there will be some form of cut out in the display of the MacBook Pro refresh set to be unveiled on Monday In follow up research it seems the MacBook Air could undergo the same transformation The forum post dating back to August and uncovered by MacRumors has leaker Ty mentioning the next major update to the MacBook Air line would use the same purported notch motif as the MacBook Pro Read more |
2021-10-17 19:00:56 |
海外科学 |
NYT > Science |
West Virginia Leads U.S. in Flood Risk, Adding to Manchin’s Climate Dilemma |
https://www.nytimes.com/2021/10/17/climate/manchin-west-virginia-flooding.html
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West Virginia Leads U S in Flood Risk Adding to Manchin s Climate DilemmaAs the senator blocks Democrats push to reduce warming new data shows his constituents are more exposed to worsening floods than anywhere else in the country |
2021-10-17 19:37:14 |
ニュース |
BBC News - Home |
Sir David Amess: Southend city bid would be a 'fitting tribute' to stabbed MP |
https://www.bbc.co.uk/news/uk-england-essex-58941729?at_medium=RSS&at_campaign=KARANGA
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southend |
2021-10-17 19:29:12 |
ニュース |
BBC News - Home |
Newcastle 2-3 Tottenham: New era at St James' Park begins with loss |
https://www.bbc.co.uk/sport/football/58833954?at_medium=RSS&at_campaign=KARANGA
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Newcastle Tottenham New era at St James x Park begins with lossNewcastle s first game since the club s Saudi Arabian backed takeover ends in a defeat by Tottenham that intensifies the pressure on manager Steve Bruce |
2021-10-17 19:30:35 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
ソニー×TSMC構想の裏にトヨタと経産省、日の丸半導体「一発逆転計画」綱渡りの内実 - 脱炭素地獄 |
https://diamond.jp/articles/-/284747
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一発逆転 |
2021-10-18 05:00:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
日本企業に決定的に足りない「ワールドクラスの経営」5つの特徴【入山章栄×BCG日置圭介・動画】 - ワールドクラスの経営 |
https://diamond.jp/articles/-/284950
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2021-10-18 04:55:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
日本企業が転落する脱炭素地獄、「利益より炭素」が重要な経営指標となる理由 - 脱炭素地獄 |
https://diamond.jp/articles/-/284746
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2021-10-18 04:50:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
少額短期保険「111社」大乱戦!生保・損保の牙城に不動産、小売り、ITが続々参戦 - 少額短期保険 111社の大乱戦 |
https://diamond.jp/articles/-/284677
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少額短期保険 |
2021-10-18 04:45:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
「短期的で小さな成果」こそ、大胆な企業変革の成否を分ける納得の理由 - DOL特別レポート |
https://diamond.jp/articles/-/284083
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2021-10-18 04:40:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
「トリクルダウンは幻想」立正大・吉川学長が語る“中流層復活”の条件 - ポストコロナの新世界 |
https://diamond.jp/articles/-/284949
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子育て支援 |
2021-10-18 04:35:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
米国は11月にテーパリングへ、それでも米株高が続く理由とリスク - 政策・マーケットラボ |
https://diamond.jp/articles/-/284868
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2021-10-18 04:30:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
上司が部下に「提案」を求める本当のワケ、手柄を横取りされてない? - 組織の病気~成長を止める真犯人~ 秋山進 |
https://diamond.jp/articles/-/284948
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上司が部下に「提案」を求める本当のワケ、手柄を横取りされてない組織の病気成長を止める真犯人秋山進上司が「会社や職場を良くしたいから何でも提案してほしい」と言ってくることは多い。 |
2021-10-18 04:25:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
ケチケチ生活なのに貯金が少ない30代夫婦の間違った「メリハリ」 - “残念サラリーマン”のお金相談所 |
https://diamond.jp/articles/-/284946
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資産 |
2021-10-18 04:20:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
年収が低い会社ランキング2021【東京都/トップ5】 - ニッポンなんでもランキング! |
https://diamond.jp/articles/-/284514
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感染拡大 |
2021-10-18 04:15:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
年収が低い会社ランキング2021【東京都/完全版】 - ニッポンなんでもランキング! |
https://diamond.jp/articles/-/284513
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感染拡大 |
2021-10-18 04:15:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
総選挙はやはり「買い」なのか、解散から投票日までの日経平均上昇確率は88% - 今週の週刊ダイヤモンド ここが見どころ |
https://diamond.jp/articles/-/284834
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日経平均 |
2021-10-18 04:10:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
高まる「台湾有事リスク」、日本企業が備えるべきこととは - DOL特別レポート |
https://diamond.jp/articles/-/285010
|
北京冬季五輪 |
2021-10-18 04:07:00 |
ビジネス |
ダイヤモンド・オンライン - 新着記事 |
「京急踏切事故」はなぜ起きたのか、運転士の過失以上に重要なこととは - News&Analysis |
https://diamond.jp/articles/-/284945
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「京急踏切事故」はなぜ起きたのか、運転士の過失以上に重要なこととはNewsampampAnalysis横浜市の京浜急行線の踏切で年月、快特列車と衝突したトラックの運転手が死亡し乗客らが重軽傷を負った事故で、神奈川県警は月日、列車の男性運転士を業務上過失往来危険と業務上過失致死傷の容疑で書類送検したと発表した。 |
2021-10-18 04:05:00 |
北海道 |
北海道新聞 |
稚内・旭川・網走3市、平野部でも初雪 山々は真っ白 |
https://www.hokkaido-np.co.jp/article/601042/
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道内 |
2021-10-18 04:10:13 |
ビジネス |
東洋経済オンライン |
地味でも年商1000億、東芝「鉄道ビジネス」の実力 車両は少ないが技術に強み、自動運転にも注力 | 経営 | 東洋経済オンライン |
https://toyokeizai.net/articles/-/462569?utm_source=rss&utm_medium=http&utm_campaign=link_back
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川崎重工業 |
2021-10-18 04:30:00 |
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