投稿時間:2022-08-10 22:30:33 RSSフィード2022-08-10 22:00 分まとめ(34件)

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IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] 大谷翔平が「2桁勝利・本塁打」　日本ハムファイターズが「道新」ではなく「岩手日報」の号外を配布する理由	https://www.itmedia.co.jp/business/articles/2208/10/news200.html	itmedia	2022-08-10 21:37:00
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] ヒカル×朝倉未来　YouTube番組「Nontitle」発のドライヤー、初日売り上げ1億円突破	https://www.itmedia.co.jp/business/articles/2208/10/news194.html	cadre	2022-08-10 21:35:00
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] からやま、3種の「からやまバーガー」を発売　「鶏肉をもっと食べたい人」へ挑戦状	https://www.itmedia.co.jp/business/articles/2208/10/news195.html	itmedia	2022-08-10 21:20:00
python	Pythonタグが付けられた新着投稿 - Qiita	Python機械学習プログラミング 2.4 ADALINE 2.5勾配降下法	https://qiita.com/Toyoshin_/items/65a6a18b506ea58592f2	adaline	2022-08-10 21:34:51
python	Pythonタグが付けられた新着投稿 - Qiita	2.5 コスト関数と勾配降下法について	https://qiita.com/Toyoshin_/items/d920cdb1e1f72c4bce11	誤差関数	2022-08-10 21:34:33
python	Pythonタグが付けられた新着投稿 - Qiita	PIL.Image.Imageをdiscord.Fileに変換したい	https://qiita.com/beatbox4108/items/1a0a3d5bca78f053461e	beatbox	2022-08-10 21:32:15
python	Pythonタグが付けられた新着投稿 - Qiita	【Python】正規表現	https://qiita.com/Dexctersu/items/777f1b49d1f0b187786d	importrecontent	2022-08-10 21:24:29
Docker	dockerタグが付けられた新着投稿 - Qiita	minecraft統合版のサーバーをdockerで構築	https://qiita.com/kudamatsu/items/b37ee7461cbc8e0f62b2	etcgroupdockerxho	2022-08-10 21:25:01
海外TECH	DEV Community	So the journey begins	https://dev.to/krud/so-the-journey-begins-2n12	So the journey beginsThe stack ーVB CThe Experience ー YearsThe Job ーHigh school Isn t learning fun To set the scene it was early s in a small farming village Yes we had internet but it was dial up and no stack overflow or anything close yet the best you could hope for is a forum post So how did we learn TL DR ーBooks and lots of them…I remember going to the library looking for books swapping with friends If you got the expensive ones you even got a CD you know the round thing with a hole in it with them with code examples and lesson projects not that the CD ever worked or was even there from the library No searching the book for your problem or an example no copy paste nothing Just read and hope you remember later where you saw something about that problem you are having Yes the internet existed but there wasn t much in the way or programming guides tutorials or even examples One of the most useful tools was IRC channels for you kids out there a really old chat Tell you the truth I don t even remember how I found what channel to write to but I remember talking to people from around the world about the most silly things things that today you will find the solution to as the top search result on google I know this is weird but you can learn at schoolWhen I reached the last year of high school I took a tech class In this class we learned things from electrical engineering basics mechanical design and of course programming The main problem was I had taught myself more than what the teacher reached in class Nonetheless I gained a great resource my teacher could answer questions point me in the right direction First of all I would like to say not all teachers are bad yes many are but not all Luckily for me our high school tech teacher saw my potential especially after I broke the school s network I used to get bored in class everyone was learning C and VB at a level I passed a long time ago on my own That is when my teacher came to my rescue My first real projectComputer vision you know when computers look at an image and try to understand what is there Well for that time it was no AI models or anything it was purely algorithmic My mission should I choose to accept it over being thrown out of class was to take this “new library that allowed me to capture an image from a webcam in VB and process it pixel by pixel and try and make out a shape in an image simple geometric shapes circle square triangle So my best friend and I set out to this task it was soooo interesting we would have all nighters trying to solve it Let me take you through the basics Go over the image one pixel at a time to try and find a place with a big change in color black shape on white paper When I reach it go in a pattern to find its neighbor that is also a border pixel Do this in a loop till I can t find any more border pixels This worked in theory There is always a “but …It all went to hell when we would hit these edge cases of a few pixels out of place That s when it hit me the solution may be obvious to you but to me it wasn t Well it turns out there is a use for the data structure “stack we ve been taught We put all pixels in the stack and each time we would hit a brick wall we would pop a pixel and try again This would continue till we popped them all out and got back to our starting pixel This turned out to be very effective and solved our biggest problem We actually found a few solutions for understanding what shape it was From the trivial see how many “straight lines made up the shape which worked pretty well for simple shapes To the most advanced solution that I am still proud of till this day calculate the area of the shape and the perimeter of the shape and see what constant best defines the relation The moral of the storyI told you this whole story to come to a small point one that shaped the next few years of my development life Data structures amp design patterns are there for a reason and even though it might not be obvious you ask yourself “why would I ever need that At some point you will and it s good to keep them handy If you would like to check out our open source library and leave feedback we would appreciate it greatly	2022-08-10 12:52:04
海外TECH	DEV Community	Creative Personal Portfolio Website Using HTML CSS JavaScript	https://dev.to/codewithsadee/creative-personal-portfolio-website-using-html-css-javascript-152l	Creative Personal Portfolio Website Using HTML CSS JavaScriptCreative Personal Portfolio Website Using HTML CSS JavaScriptThis video will show you how to build a personal portfolio website using html css javascriptLive WebsiteGithub RepoHI I m Sadee webdev In this channel I make videos about Complete Responsive website You can checkout my channel My Channel codewithsadeeSubscribe subscribe now Essential linksDownload the starter file to practice ️Timestamps Demo File structure Project initial Header Hero section Portfolio section Skills section Timeline section Price section News section Contact section Footer Media queries	2022-08-10 12:46:05
海外TECH	DEV Community	3 Things to Know Before Building a Multi-Tenant Serverless App	https://dev.to/aws-builders/3-things-to-know-before-building-a-multi-tenant-serverless-app-212m	Things to Know Before Building a Multi Tenant Serverless AppA few years ago I was given the privilege to take a team of engineers and go figure out how to build in the cloud There were mostly no guidelines just a vague idea on what kind app we were supposed to build Sounds like a developer s dream right It was But figuring out how to build in the cloud is a significantly more daunting task than it sounds when approached from an enterprise perspective We had to figure out what the cloud even was what on Earth CI CD is all about discover the ins and outs of serverless learn how to design a NoSQL data model make decisions on how to structure microservices learn about cloud cost analysis and predictions and to top it all off learn what multi tenancy was and how to build an app that could handle it The list goes on and on of all the things we had to tackle and there certainly was understated nuance in there But we loved it Of all the thoughts concepts architectures frameworks and design patterns we went through probably one of the most fundamentally difficult things we went through was multi tenancy It wasn t a concept new to us in theory but putting it into practice was exhausting What Is Multi Tenancy When talking about multi tenancy I always get the same question what is a tenant Honestly there is not a single correct answer to this question For us a tenant was a paying customer For others it could be something entirely different This isn t because our implementation of multi tenancy was unique it s simply how we chose to add segmentation into our app A tenant is a group of users who share common access to a set of data In a multi tenant environment you have many potentially unbounded groups of users in your system that share the same instance of the software These groups of users have access to the same set of data as each other but do not have access to the data of other groups This paradigm is great for large applications because it cuts down on the complexity of release management A shared instance implies you do not have a deployment for every customer Rather you might have a single instance of your software deployed that everybody consumes This increases the risk of disaster since there is only one release So if one tenant sees a problem everyone does A serverless implementation of a multi tenant environment does not differ significantly from a traditional software deployment However there are some considerations to be made when we talk about scaling how we go about authorizing users and how we structure the data Serverless ImplementationTo help illustrate the concepts I have a GitHub repo of a fully functional multi tenant app that we will walk through This repo deploys a role based serverless application that manages state parks Each one of the system defined roles in the app allows access to various endpoints An end user can be assigned multiple roles to extend their access to new features Users can belong to multiple tenants but can only have one active tenant at a time This reduces overall complexity around auth while also helping keep the data boundary of each tenant By changing their tenant the user is effectively changing the data they have access to With our reference application a user can be assigned different roles based on the tenant This allows for various access control where a user might have elevated privileges in one tenant but not in another AuthorizationWhile Amazon Cognito has a range of multi tenancy options our example today will focus on a request based Lambda authorizer to evaluate the caller s identity and determine their active tenant A Lambda authorizer sits in front of an API gateway evaluates the provided auth token and returns an IAM policy for the user Lambda authorizer flow Source AWSIn our example we will be making use of the authorizer context which is enriched data passed into the downstream services as part of the authorizer policy This data can be anything you want and in our example includes details about the user making the call Here is an example of the request context data our authorizer returns userId testuserid tenantId texas email testuser mailinator com roles admin firstName Test lastName User The business process flow our Lambda authorizer follows is outlined in the diagram below Validate JWT The authentication mechanism in the workflow that validates the JWT provided in the Authorization header Load user details from DynamoDB After parsing the user id from the JWT load the full user data from the database This contains the active tenant roles and demographic information for the user Determine access policy Based on the roles of the active tenant build an IAM policy of allowed endpoints the user can invoke Build authorizer context Build a data object containing information about the user to provide to downstream services like Lambda DynamoDB and Step Functions Return policy and context Pass the access policy back to API Gateway to evaluate and determine if the caller has access to the endpoint they are invokingOnce the authorizer completes and API Gateway evaluates the IAM policy the backing services behind the endpoint are invoked and provided information about the caller Using the authorizer context provides an added layer of security in multi tenant environments It prevents malicious users from providing invalid tenant information and gaining access to data they do not own Since the tenant id comes from the authorizer we ve secured our API from certain types of malicious attacks where users try to spoof their tenant by passing it in their access token The authorizer we ve built loads the tenant information from the database so any attempts at elevation are discarded The authorizer context is accessed differently based on the downstream service With Lambda functions we can access the enriched information via the requestContext object in the event exports handler async event gt const tenantId event requestContext authorizer tenantId However in VTL when we connect API Gateway directly to services like DynamoDB and Step Functions it is accessed at a slightly different path set tenantId context authorizer tenantId Now that we have access to the tenant id for the caller let s discuss how we use it Data Access ControlThe most important aspect in multi tenancy is preventing users in one tenant from seeing data that belongs to a different tenant Another way to say this is to have strong data isolation When data is properly isolated for a tenant attackers are unable to manipulate API calls to return data across tenants When it comes to structuring the data it means we prefix all indexes with the tenant id Take the following data set as an example Data set of state parks across multiple tenantsIn this dataset you have parks from three different tenants texas washington and colorado Both the partition key of the primary key and the pk of the GSI have the tenant id prefixed on the data Always prefix partition keys of the primary key and indexes with the tenant id in a multi tenant application This pattern forces us to provide the tenant id when doing a GetItem or Query operation By requiring the call to include the tenant id you guarantee you will only receive data from a single tenant You also guarantee you will get data for the correct tenant because the id you are using is coming from the Lambda authorizer and not spoofed from the caller NOTE this pattern falls apart in table scans You cannot guarantee access to a single tenant s data when doing a scan This is yet another reason why you should do scans as infrequently as possible Infrastructure Scaling and Service LimitsAs you take on more tenants your infrastructure will naturally scale in a serverless environment But there are some components that you need to consider when doing your initial design In a previous post about avoiding serverless service limits I talk about how there is an odd discrepancy with the amount of SNS topics vs the amount of SNS subscription filters you can have in your AWS account You can create SNS topics but only subscription filters Both of these are soft limits but it is important to consider with a multi tenant application Instead of having a set of static SNS topics that allows users to subscribe with a tenant filter a safer solution would be to dynamically create SNS topics per tenant per event type You get a slightly more complex solution but you get the freedom of scaling without worry Workflow diagram of registering for a tenant specific webhook eventThese topics are created on demand as subscriptions come in so you may never need to create topics for some event tenant combinations This pattern is illustrated in the subscribe webhook workflow in the example repository When it comes to publishing the event to a dynamic topic a simple lookup is performed to find the topic if it exists If it does we publish to it and if it does not exist publishing is skipped Workflow diagram of publishing to a dynamically created webhook eventWhen we talk about scaling out infrastructure for higher amounts traffic your architecture changes considerably At large scale your application is more about batching caching and queueing than it is about anything else When you re batching and queueing you lose the synchronous nature of standard REST API request response paradigms This is an important consideration because your tenant id is being injected into the system from your Lambda authorizer Don t lose it When saving off messages in a queue to process in batch at a later time you must keep track of which requests came in from which tenants If you enable your end users to switch tenants at their discretion looking up the active tenant at processing time is not an option It s possible the user could have changed tenants between the time of the request and the time of processing So your option is to save the tenant id along with the request when you receive it Working at a large scale isn t too different from small scale strictly from a multi tenancy perspective As long as you are injecting the tenant id at a request s point of entry there is not much else that varies ConclusionGoing multi tenant in your application certainly has trade offs You get decreased complexity and maintainability from supporting only a single instance of your application But you get increased complexity by adding tenancy logic into your application Data security is also a concern with multi tenancy You must guarantee there are no accidental slip ups that return data to the wrong tenant However by prefixing the tenant id on all our lookups and avoiding table scans at all costs we can mitigate much of the risk Watch for service limits as well It s easy to reach some of the lesser known limits as your application scales out with more tenants It s always a good practice to look at all the service limits of the services you will be consuming before you start building A tenant is a logical construct How you implement it is completely up to you As long as you keep your data isolated and build your app in a way that can scale there s no wrong way to do it You can use Amazon Cognito and its incredible feature set or you can take it on yourself for some fine grained access control like I did Designing a multi tenant application takes a significant amount of up front planning but the ends justify the means Hopefully the provided reference architecture will help spark some ideas for your implementation Happy coding	2022-08-10 12:32:25
海外TECH	DEV Community	How to use GraphQL and React Query with GraphQL Code Generator (based on Next.Js)	https://dev.to/soom/how-to-use-graphql-and-react-query-with-graphql-code-generator-based-on-nextjs-23jj	How to use GraphQL and React Query with GraphQL Code Generator based on Next Js AbstractGraphQL 기존의REST API 호출방식을넘어schema를이용해마치DB를다루는sql과같이데이터호출을다룰수있는새로운개념 GQL은이미개발자라면익숙한용어가되버렸지만아직도현재진행형이며이번포스팅에는Query 솔루션인React Query와기존의GQL의pain point 중하나인Type과Schema 관리 불필요한반복적인코드작성을자동으로해결해주는GraphQL Code Generator를이용해GQL을직관적으로관리하는방법을소개하고자한다 GQL에대한내용은하기참조GQL 이란 Getting Started원하는프로젝트폴더에Next Js TypeScript 프로젝트를생성 Terminalpnpm create next app typescript React Query로GQL를사용하고자필요한패키지를설치 Note최근React Query는패키지명이TanStack Query 큰카테고리로묶였는데추후Sevelte Query 등다양한플랫폼을지원할예정이라한다 Terminalpnpm add S tanstack react query graphql graphql requestpnpm add D tanstack react query devtools환경변수도사용할예정이기에dotenv 패키지도설치 Terminalpnpm add S dotenv env local 을생성한뒤API URL 을등록GraphQL API 주소는Fake GraphQL을제공하는GraphQLZero를이용하였다 GraphQLZero Link env localNEXT PUBLIC GRAPHQL URL env 항목이Type Error 에잡히지않도록next constants d ts 파일을생성하고default type으로변수선언 next constants d tsdeclare namespace NodeJS export interface ProcessEnv NEXT PUBLIC GRAPHQL URL string 비교를위한기존의react query gql 방식을구현react query 설정을위해 app tsx 을다음과같이수정 NoteSSR이기에SEO와UX를최적화하기위해Hydration State를설정Hydration 개념은하기링크참조Link pageProps dehydratedState 는Serverside Props 에서이용할예정refetch를최소화해서UX 최적화const queryClient new QueryClient defaultOptions queries refetchOnMount false refetchOnWindowFocus false refetchOnReconnect false pages app tsximport styles globals css import type AppProps from next app import Hydrate QueryClientProvider QueryClient from tanstack react query import ReactQueryDevtools from tanstack react query devtools export const queryClient new QueryClient defaultOptions queries refetchOnMount false refetchOnWindowFocus false refetchOnReconnect false function MyApp Component pageProps AppProps return lt QueryClientProvider client queryClient gt lt Hydrate state pageProps dehydratedState gt lt Component pageProps gt lt ReactQueryDevtools initialIsOpen gt lt Hydrate gt lt QueryClientProvider gt export default MyApp GraphQlZero의album Resolver Query를react query로요청legacy tsx 파일을생성하고실제로데이터가들어오는것을확인한다 Notetype 이나schema는GraphQlZero의Docs를참고해서원하는데이터만임의로작성interface AlbumQuery album id string title string user id string name string username string email string company name string bs string photos data id string title string url string const albumQueryDocument gql query album id ID album id id id title user id name username email company name bs photos data id title url getStaticProps를이용해Server에서미리캐시된dehydratedState를내려준다 export const getStaticProps async gt await queryClient prefetchQuery album useAlbumFetcher return props dehydratedState dehydrate queryClient pages legacy tsximport type NextPage from next import useQuery dehydrate from tanstack react query import request gql from graphql request import queryClient from app interface AlbumQuery album id string title string user id string name string username string email string company name string bs string photos data id string title string url string const albumQueryDocument gql query album id ID album id id id title user id name username email company name bs photos data id title url const useAlbumFetcher async gt await request lt AlbumQuery id string gt process env NEXT PUBLIC GRAPHQL URL albumQueryDocument id export const getStaticProps async gt await queryClient prefetchQuery album useAlbumFetcher return props dehydratedState dehydrate queryClient const Legacy NextPage gt const data useQuery lt AlbumQuery gt album useAlbumFetcher const album data return lt gt lt header style textAlign center gt lt h gt Hello GraphQL React Query lt h gt lt header gt lt hr gt lt main gt lt p style textAlign center color grey gt JSON stringify album lt p gt lt main gt lt gt export default Legacy preview여기까지가기존의gql react query 방식을통해데이터를받아오는과정이다 하지만이런방식에는Pain Point가존재한다 schema 에대응하는Type을직접작성schema 변경이있다면Type 역시Docs 를확인한후직접변경필요요청할때마다반복적인코드반복작성이런Pain Point를자동으로해결해주는것이GraphQL Code Generator 다 GQL Code Generator 관련패키지를설치 Terminal code generator core 패키지pnpm add D graphql codegen cli graphql codegen typescript graphql codegen typescript operations code generator react query 관련패키지pnpm add D graphql codegen typescript react query graphql codegen typescript graphql request code generator yaml loader 패키지pnpm add D yaml loadercodegen yml 파일을생성한뒤설정값입력 Noteschema 는graphql 폴더안에 filename graphql로관리하기로한다 ts나다른확장자도가능 documents에는gql schema 파일형식과위치를설정해준다 documents graphql generated graphql ts schema 는GQL URL 위치 여기서는환경변수로관리하기때문에다음과같이작성schema NEXT PUBLIC GRAPHQL URL 중요옵션들은다음과같다 나머지내용들은하기링크에서확인 exposeFetcher GetStaticProps GetServerSideProps 에prefetch로사용할query fetcher 함수를exportexposeQueryKey react quey의query key 도exportfetcher fetcher로사용할모듈 여기서는기존에사용했던graphql request 사용한다 codegen ymldocuments graphql generated graphql ts schema NEXT PUBLIC GRAPHQL URL require ts node registergenerates graphql generated ts plugins typescript typescript operations typescript react query config interfacePrefix I typesPrefix I skipTypename true declarationKind interface noNamespaces true pureMagicComment true exposeQueryKeys true exposeFetcher true withHooks true fetcher graphql requestpakage json 에graphql codegen script추가 package json scripts generate gql graphql codegen require dotenv config config codegen yml dotenv config path env local graphql 폴더를생성한뒤요청할schema 파일을작성여기서는album 관련schema를album graphql에작성 graphql album graphqlquery album id ID album id id id title user id name username email company name bs photos data id title url 여기까지진행했다면모든준비를완료한상태현재파일구조는다음과같다 structure ├ーgraphql │└ーalbum graphql├ーpages │├ー app tsx│├ーindex tsx│└ーlegacy tsx├ー ├ーcodegen yml├ーnext constants d ts├ーpackage json└ー 이제GraphQL Generator를사용해Type Method 를자동생성이가능script를실행하면graphql 폴더안에generated ts가생성이파일안에는schema에대응하는Query Function Type 들이자동으로생성되어있는것을확인할수있다 파일내용은생략 Terminalpnpm generate gqlParse ConfigurationGenerate outputs자동생성된Query Method와Type을통해보다쉽게album의데이터들을호출해보자pages폴더안에new tsx 파일을다음과같이작성legacy tsx와정확히동일한기능을하는페이지이다 NoteuseQuery 관련코드가자동생성된useAlbumQuery 한줄로대체const data useAlbumQuery gqlClient id prefetchQuery 에서key fetcher 코드를직접작성할필요없이useAlbumQuery getKey useAlbumQuery fetcher 로대체await queryClient prefetchQuery useAlbumQuery getKey id useAlbumQuery fetcher gqlClient id Type은자동선언되어연결되어있기때문에따로작성필요불가이후server spec 변경으로인한schema 변경시code generate 명령한줄로반복적인type 매칭 재작성과정을생략할수있다 pages new tsximport type NextPage from next import dehydrate from tanstack react query import GraphQLClient from graphql request import useAlbumQuery from graphql generated import queryClient from app const gqlClient new GraphQLClient process env NEXT PUBLIC GRAPHQL URL export const getStaticProps async gt await queryClient prefetchQuery useAlbumQuery getKey id useAlbumQuery fetcher gqlClient id return props dehydratedState dehydrate queryClient const New NextPage gt const data useAlbumQuery gqlClient id const album data return lt gt lt header style textAlign center gt lt h gt Hello GraphQL React Query lt h gt lt header gt lt hr gt lt main gt lt p style textAlign center color grey gt JSON stringify album lt p gt lt main gt lt gt export default New previewStackblitz Sample Conclusion본포스팅에서는GraphQL Code Generator 를통해Server Spec 변경할때마다schema 변경뿐만아니라type 까지재작성을해야하는GQL의Pain Point 를해결하는방법을소개하였다 추가적으로SSR을통해데이터관련하여hydration하는부분도같이소개하였다 현재까지도주류는REST API 이다 하지만큰변화가없는REST API와달리GQL에서는여러가지기능이꾸준히소개되고발전하고있다 특히Backend 와Frontend 사이의Communication Gap 을줄여주는방향으로GQL은꾸준히발전하고있으며이는실무의인적비용과도직접적으로연결되는방향이다 이는개발자라면GQL에관해앞으로도꾸준히관심을가질만한충분한이유가될것이다 GQL Code Generator 에대해자세한내용하기링크에서확인할수있다 Link	2022-08-10 12:18:00
Apple	AppleInsider - Frontpage News	What to expect from the iPhone 14 and iPhone 14 Max	https://appleinsider.com/articles/22/04/08/rumor-roundup-what-to-expect-from-the-iphone-14-and-iphone-14-max?utm_medium=rss	What to expect from the iPhone and iPhone MaxThe iPhone lineup is expected to be incredibly similar to the iPhone with minor changes like increased RAM and a new max model Check out the rumored iPhone Max in AR and find all the details here The iPhone may have the same design as the iPhone There haven t been many rumors surrounding Apple s standard iPhones so far There are more rumors about what won t be included in the iPhone than what will with supply chain leaks focusing on the more robust iPhone Pro Read more	2022-08-10 12:49:58
海外TECH	Engadget	Apple's 256GB iPad drops to a new low of $399	https://www.engadget.com/apples-256gb-ipad-drops-to-a-new-low-of-399-122930852.html?src=rss	Apple x s GB iPad drops to a new low of Apple s base iPad is the most cost effective way to get an iOS device and now you can pick one up for even less than usual In a rare sale most models are down to record low prices at Amazon right now Key among them are the GB iPad for which is less than usual and the base GB version remains on sale for as well As for cellular models you can pick up the GB tablet for thanks to an extra coupon that s automatically applied at checkout or the GB version for Buy iPad GB WiFi at Amazon Buy iPad GB WiFi at Amazon Buy iPad GB Cellular at Amazon Buy iPad GB Cellular at Amazon It may not look as slick as the iPad Air or the latest iPad Pros but it s hard to argue the utility of Apple s most affordable tablet We gave it a score of when the latest model came out last year and we consider it to be the best budget tablet you can get It has solid performance and an excellent hour battery life and since Apple upped the base amount of storage to GB from GB you ll have a good amount of space even if you pick the cheapest option That s important for those who download tons of apps and games or those who plan on using the iPad to hold all of their personal work or school documents While we think some of the more advanced iPads make better laptop replacements the base tablet would make a good on the go device if you pair it with accessories like the Smart Keyboard or the first generation Apple Pencil The most dated things about the iPad are its chunkier bezels and the physical Home button that supports TouchID although some may prefer the latter to FaceID Otherwise the slab has a x resolution Retina display with True Tone an megapixel rear camera and an updated MP front facing camera with support for Center Stage which will come in handy if you FaceTime a lot with friends and family While it doesn t have many of the extra features you ll find on the iPad Air those are fair trade offs considering its low starting price Follow EngadgetDeals on Twitter and subscribe to the Engadget Deals newsletter for the latest tech deals and buying advice	2022-08-10 12:29:30
海外TECH	Engadget	Spotify is selling tickets directly to fans in its latest test	https://www.engadget.com/spotify-tickets-test-121419283.html?src=rss	Spotify is selling tickets directly to fans in its latest testSpotify has quietly debuted a new website where fans can purchase tickets to their favorite artists concerts directly from the streaming platform There s no fanfare surrounding Spotify Tickets launch because it s strictly a test product at the moment and it s only selling pre sale tickets to a limited number of artists upcoming events The portal s debut artists include Limbeck Annie DiRusso Dirty Honey Crows TOKiMONSTA Four Year Strong and Osees According to MusicAlly the tickets Spotify will start selling today will come from the artists pre sale allocations for upcoming concerts The music streaming service already has an in app Live Events Feed where it links to ticketing partners including Ticketmaster AXS DICE Eventbrite and See Tickets As TechCrunch notes the events listed on the new website aren t available on the Live Events Feed yet though that could change in the future Spotify Tickets official support page says that the company sells tickets on behalf of event partners such as venues event promoters fan clubs and artists themselves That means those partners set the tickets prices but Spotify will charge a booking fee that it promises to make clear to buyers before they hit the purchase button The service could become an important revenue stream from artists who d rather sell their own tickets It could also help ensure that tickets are purchased by real fans and not by scalpers The service s support page says buyers may not quot resell assign or transfer quot tickets except in select states And since buyers will need to present a government issued ID to enter an event they ll have to transfer ownership of a ticket if they do decide to sell it The process is quite involved and requires sellers to contact Spotify to change the name associated with a ticket Spotify told us it doesn t have much to share at the moment since the service is just a test There s no official launch date ーor even assurances that it will make its way out of the testing phase ーfor the product right now The spokesperson said quot At Spotify we routinely test new products and ideas to improve our user experience Some of those end up paving the path for our broader user experience and others serve only as important learnings Tickets spotify com is our latest test We have no further news to share on future plans at this time quot What can I say but I called it SpotifyTickets is now rolling out NewSpotifypic twitter com CeWsswJpー ˏˋChris Messina ˎˊ chrismessina August	2022-08-10 12:14:19
金融	RSS FILE - 日本証券業協会	新規公開に際して行う株券の個人顧客への配分状況	https://www.jsda.or.jp/shiryoshitsu/toukei/shinkikoukai/index.html	新規公開	2022-08-10 13:00:00
ニュース	@日本経済新聞 電子版	四半世紀を超すキャリアに終止符を打つと表明した女子テニスのセリーナ・ウィリアムズ。「最適な言葉は『進化』かも」。怒りと否定を力に、白人スポーツのイメージを覆したスターの最後の雄姿に注目が集まります。 https://t.co/VmKgOBqSaD	https://twitter.com/nikkei/statuses/1557343543374618626	四半世紀を超すキャリアに終止符を打つと表明した女子テニスのセリーナ・ウィリアムズ。	2022-08-10 12:30:09
ニュース	@日本経済新聞 電子版	中国軍事演習を巡り、少将がまず「沖縄」に言及し海峡を含む封鎖や外部の干渉排除を明言したのは重大。ミサイルは台湾の海岸線から12カイリ内には着弾していないといい、日米に「チキンレース」を仕掛けました。 https://t.co/P9ElXM8pGB	https://twitter.com/nikkei/statuses/1557339744044032001	中国軍事演習を巡り、少将がまず「沖縄」に言及し海峡を含む封鎖や外部の干渉排除を明言したのは重大。	2022-08-10 12:15:03
ニュース	BBC News - Home	Energy crisis is on scale of pandemic - Martin Lewis	https://www.bbc.co.uk/news/business-62483770?at_medium=RSS&at_campaign=KARANGA	consumer	2022-08-10 12:33:59
ニュース	BBC News - Home	Homes for Ukraine: Quarter of refugee sponsors do not want to carry on	https://www.bbc.co.uk/news/uk-62493852?at_medium=RSS&at_campaign=KARANGA	homes	2022-08-10 12:44:42
ニュース	BBC News - Home	Ryan Giggs' ex became slave to his demands, court hears	https://www.bbc.co.uk/news/uk-wales-62490834?at_medium=RSS&at_campaign=KARANGA	giggs	2022-08-10 12:51:11
ニュース	BBC News - Home	Domino's: fast food giant pulls out of Italy, the home of pizza	https://www.bbc.co.uk/news/business-62487788?at_medium=RSS&at_campaign=KARANGA	media	2022-08-10 12:04:36
ニュース	BBC News - Home	Robert Pope: Guinness-fuelled man runs width of Ireland in a day	https://www.bbc.co.uk/news/world-europe-62469739?at_medium=RSS&at_campaign=KARANGA	dublin	2022-08-10 12:24:42
北海道	北海道新聞	ロ３―４ソ（１０日）　東浜が７勝目	https://www.hokkaido-np.co.jp/article/716584/	連続	2022-08-10 21:36:00
北海道	北海道新聞	アイヌ施策担当相を新設　岡田沖北相が兼務　内閣改造	https://www.hokkaido-np.co.jp/article/716556/	岡田直樹	2022-08-10 21:35:21
北海道	北海道新聞	１００万円だまし取られる　札幌・西区の６０代女性	https://www.hokkaido-np.co.jp/article/716581/	札幌市西区	2022-08-10 21:32:00
北海道	北海道新聞	専用車で出張トリミング人気　北見・小松さん起業「ニーズに応えたい」	https://www.hokkaido-np.co.jp/article/716580/	小松美和	2022-08-10 21:31:00
北海道	北海道新聞	絵本作家Ｒ・ブリッグズさん死去　名作「スノーマン」	https://www.hokkaido-np.co.jp/article/716576/	絵本作家	2022-08-10 21:28:00
北海道	北海道新聞	経済閣僚、安定重視の布陣　補正予算で物価高など対応へ　内閣改造	https://www.hokkaido-np.co.jp/article/716570/	内閣改造	2022-08-10 21:27:00
北海道	北海道新聞	ＮＺ競馬の柳田泰己騎手が死去　レース中落馬、頭部を負傷	https://www.hokkaido-np.co.jp/article/716572/	騎手	2022-08-10 21:21:00
北海道	北海道新聞	基準経路を外れ運航か　知床事故で調査経過公表　運輸安全委員会	https://www.hokkaido-np.co.jp/article/716560/	知床半島	2022-08-10 21:14:17
北海道	北海道新聞	山際氏、首相に説明せず　旧統一教会イベント出席	https://www.hokkaido-np.co.jp/article/716561/	山際大志郎	2022-08-10 21:09:00
北海道	北海道新聞	日高管内最多７６人感染　胆振は３８０人　新型コロナ	https://www.hokkaido-np.co.jp/article/716559/	新型コロナウイルス	2022-08-10 21:04:00
海外TECH	reddit	Liiv SANDBOX vs. T1 / LCK 2022 Summer - Week 9 / Post-Match Discussion	https://www.reddit.com/r/leagueoflegends/comments/wkwh4h/liiv_sandbox_vs_t1_lck_2022_summer_week_9/	Liiv SANDBOX vs T LCK Summer Week Post Match DiscussionLCK SUMMER Official page Leaguepedia Liquipedia Eventvods com New to LoL Liiv SANDBOX T Liiv SANDBOX secures rd place in the regular season LSB Leaguepedia Liquipedia Website Twitter Facebook YouTube T Leaguepedia Liquipedia Website Twitter Facebook YouTube MATCH LSB vs T Winner Liiv SANDBOX in m POG Clozer Damage Graph Runes Bans Bans G K T D B LSB draven lucian gwen renekton xin zhao k H I H C B HT T poppy kalista yuumi ornn leona k None LSB vs T Dove gragas TOP sejuani Zeus Croco vi JNG pantheon Oner Clozer ahri MID azir Faker Prince sivir BOT zeri Gumayusi Kael nautilus SUP lulu Keria MATCH T vs LSB Winner Liiv SANDBOX in m POG Prince Damage Graph Runes Bans Bans G K T D B T poppy sivir zeri sylas ornn k H H LSB draven kalista lucian yuumi karma k I M C B T vs LSB Zeus sejuani TOP gragas Dove Oner wukong JNG trundle Croco Faker swain MID azir Clozer Gumayusi jinx BOT aphelios Prince Keria blitzcrank SUP tahmkench Kael Patch This thread was created by the Post Match Team submitted by u adzr to r leagueoflegends link comments	2022-08-10 12:43:11