| IT |
ITmedia 総合記事一覧 |
[ITmedia エグゼクティブ] 海運業界もデジタル化の波 老舗の本瓦造船 |
https://mag.executive.itmedia.co.jp/executive/articles/2111/02/news059.html
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itmedia |
2021-11-02 08:18:00 |
| TECH |
Techable（テッカブル） |
あつ森アプデ直前！ 登場から4年でも飛ぶように売れるSwitch、やはり新作もロングセラータイトルも強かった……！ |
https://techable.jp/archives/165263
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switch |
2021-11-01 23:00:22 |
| AWS |
AWS Media Blog |
Public Preview: Nimble Studio introduces faster startup times with volume persistence |
https://aws.amazon.com/blogs/media/public-preview-nimble-studio-introduces-faster-startup-times-with-volume-persistence/
|
Public Preview Nimble Studio introduces faster startup times with volume persistenceToday Amazon Nimble Studio announces preview availability of faster workstation startup times and simplified workstation management for administrators with persistent volumes While customers enjoy Nimble Studio for its fast deployment many have asked for faster login times and the ability to save changes made to the root volume As of today this is now possible … |
2021-11-01 23:57:36 |
| AWS |
AWS |
AWS Greece Office Opening Video | Amazon Web Services |
https://www.youtube.com/watch?v=81O_o1YKDX8
|
AWS Greece Office Opening Video Amazon Web ServicesΓειασουΕλλάδα We are glad to announce the opening of our new AWS office in Athens Greece earlier this year The new office will support the growing number of partners and customers as well as public sector initiatives in Greece to harness the true power of the cloud Hear from our customers and partners about how AWS is helping them expand and at the same time learn about the culture at AWS from our AWS staff members Learn more about AWS at Subscribe More AWS videos More AWS events videos ABOUT AWSAmazon Web Services AWS is the world s most comprehensive and broadly adopted cloud platform offering over fully featured services from data centers globally Millions of customers ーincluding the fastest growing startups largest enterprises and leading government agencies ーare using AWS to lower costs become more agile and innovate faster AWS AmazonWebServices CloudComputing AWSCEE AWSGreece Qivos Deepsea PAOK BEAT WIND |
2021-11-01 23:35:28 |
| AWS |
AWS |
Query your Data Lake from Amazon Redshift Query Editor V2 | Amazon Web Services |
https://www.youtube.com/watch?v=-pyy0qNmEKo
|
Query your Data Lake from Amazon Redshift Query Editor V Amazon Web ServicesThis video demonstrates how you can can query data in your data lake using Amazon Redshift Query Editor V using AWS Glue Catalog Integration Learn more about Querying a database using the Amazon Redshift query editor v at Subscribe More AWS videos More AWS events videos ABOUT AWSAmazon Web Services AWS is the world s most comprehensive and broadly adopted cloud platform offering over fully featured services from data centers globally Millions of customers ーincluding the fastest growing startups largest enterprises and leading government agencies ーare using AWS to lower costs become more agile and innovate faster AWS AmazonWebServices CloudComputing |
2021-11-01 23:22:54 |
| python |
Pythonタグが付けられた新着投稿 - Qiita |
PythonからWindows APIを使ってサウンド再生 |
https://qiita.com/Stosstruppe/items/035030d2db8f04ab25cb
|
PythonからWindowsAPIを使ってサウンド再生はじめにctypesパッケージを使ってWindowsAPIを呼び出すサンプルとしてサウンドを再生してみた。 |
2021-11-02 08:50:10 |
| python |
Pythonタグが付けられた新着投稿 - Qiita |
ディープラーニング使って画像生成を行うレシピの紹介 |
https://qiita.com/Axross_SBiv/items/f48b8b7998dd76005984
|
任意のテキストを入力することによって、その内容に合わせた画像を生成することができます。 |
2021-11-02 08:37:38 |
| python |
Pythonタグが付けられた新着投稿 - Qiita |
PythonでUnit Testを記述する。 |
https://qiita.com/shigeshigeshige/items/5e200b48965c221370f4
|
PythonのUnitTestで使用するツールPythonテストコード生成ツールこのツールは、テストメソッドや呼び出し、パラメータの記述、関数のモック化を自動で記述してくれます。 |
2021-11-02 08:36:05 |
| Program |
[全てのタグ]の新着質問一覧｜teratail（テラテイル） |
<T> TypedQuery<T> createQuery(CriteriaQuery<T> criteriaQuery) の最初の<T>について |
https://teratail.com/questions/367320?rss=all
|
ltTgtTypedQueryltTgtcreateQueryCriteriaQueryltTgtcriteriaQueryの最初のltTgtについてspringbootを勉強中でEntityManagerインターフェースの解説を読んでいたのですが。 |
2021-11-02 08:53:09 |
| 技術ブログ |
MonotaRO Tech Blog |
Vue.js？React？フレームワーク選びの７つの選定基準、大規模ECサイトのフロント刷新プロジェクト |
https://tech-blog.monotaro.com/entry/2021/11/02/090000?utm_source=feed
|
背景新フロントエンドプロジェクトの立ち上がりVuejsとReactの比較検討をしてみた俯瞰して改めて選定基準を考えた一般的な視点モノタロウの社内事情つの選定基準選定結果技術選定を通して得たつの学び背景まず、モノタロウの現フロントエンドについてざっくり説明します。 |
2021-11-02 09:00:00 |
| 海外TECH |
Ars Technica |
More than 5 million people have died of COVID-19 worldwide |
https://arstechnica.com/?p=1809478
|
covid |
2021-11-01 23:06:18 |
| 海外TECH |
DEV Community |
40+ Frontend Projects for Beginners – Easy Ideas to Get Started Coding Frontend [Beginners - Advance] |
https://dev.to/devv/40-frontend-projects-for-beginners-easy-ideas-to-get-started-coding-frontend-beginners-advance-585j
|
Frontend Projects for Beginners Easy Ideas to Get Started Coding Frontend Beginners Advance If you are a developer or just getting started with the process then you must already be aware of how important the role of developing live projects are It will not only improve your coding skills but will also help you develop a passion for it You can start by taking up online tutorials to learn a skill or two but it must lead to starting to build the programs eventually Read More Frontend Projects for Beginners Easy Ideas to Get Started Coding Frontend Beginners Advance |
2021-11-01 23:56:50 |
| 海外TECH |
DEV Community |
AI Projects for Beginners – Easy Ideas to Get Started Coding AI [Beginners - Advance] |
https://dev.to/devv/ai-projects-for-beginners-easy-ideas-to-get-started-coding-ai-beginners-advance-1gf3
|
AI Projects for Beginners Easy Ideas to Get Started Coding AI Beginners Advance Artificial Intelligence has made a significant impact on our daily lives Every time you scroll through social media open Spotify or do a quick Google search you are using an application of AI The AI industry has expanded massively in the past few years and is predicted to grow even further reaching around billion U S dollars by Multinational companies like IBM Accenture and Apple are actively hiring AI practitioners The median salary of an AI engineer as of is that can go over The field of AI is vast and there are many areas within the industry that you can choose to specialise Say if you are intrigued by facial recognition systems and image generation you can choose to work in the field of computer vision If you d like to build models that can converse with people and learn human language you can work in the field of NLP Natural Language Processing There is a lot of work being done today for the advancement of Artificial Intelligence Companies need AI specialists who can build and deploy scalable models to meet growing industry demands It isn t tough to get started in the field of AI While there is the complexity involved in building machine learning models from scratch most AI jobs in the industry today don t require you to know the math behind these models Many companies require individuals who can build AI solutions scale them and deploy them for the end user Many high level libraries and frameworks can help you do this without an in depth knowledge of how the models work Read More AI Projects for Beginners Easy Ideas to Get Started Coding AI Beginners Advance |
2021-11-01 23:37:00 |
| 海外TECH |
DEV Community |
Nodejs Projects for Beginners – Easy Ideas to Get Started Coding JS [Beginners - Advance] |
https://dev.to/devv/nodejs-projects-for-beginners-easy-ideas-to-get-started-coding-js-beginners-advance-50kd
|
Nodejs Projects for Beginners Easy Ideas to Get Started Coding JS Beginners Advance If you have decided to build your career in NodeJS development we have gathered a list of nodeJS projects for beginners for all node enthusiasts to build highly scalable web applications These best nodeJS projects for beginners will help you gain knowledge about core node concepts train your skill level build a superb work portfolio and get hired for your dream job When you start building your first projects it s highly recommended for beginners in coding to create a repository for each of your projects so you will be able to learn git and show your coding expertise to future employers Read More Nodejs Projects for Beginners Easy Ideas to Get Started Coding JS Beginners Advance |
2021-11-01 23:29:58 |
| 海外TECH |
DEV Community |
Knowledge Graph Inference with Neural Embeddings |
https://dev.to/mage_ai/knowledge-graph-inference-with-neural-embeddings-5d59
|
Knowledge Graph Inference with Neural EmbeddingsRecently some of my work involved working with knowledge graphs I was somewhat surprised to discover how sparse resources were on working with knowledge graphs Most of the literature was locked in research papers that are relatively inaccessible unless you have a fair amount of time on your hands What is a knowledge graph Simply put a knowledge graph is a collection of facts in the form of two entities and a relationship e r e For instance a representation of the concept that “Tom Cruise acted in Mission Impossible would be represented as “Tom Cruise acted in “Mission Impossible Photo credit Mission ImpossibleHere is an example knowledge graph that could represent movies genres and actors Knowledge graph of genres movies and actors Link InferenceNow that we have a knowledge graph we may want to augment the data and predict new relationships that should exist In the knowledge graph above we encode relationships for genres to movies and movies to actors If you squint at the knowledge graph above you can plausibly imagine a model that is able to learn that actors generally star in the same genre of movies Tom Cruise usually stars in action movies and Ben Stiller usually stars in comedies Notice in the knowledge graph above there should exist a link between Ben Stiller and Tropic Thunder Ben Stiller acted in Tropic Thunder Also note that we should be able to infer the type of genre each of these actors tend to act in Tom Cruise tends to act in action movies while Jack Black and Ben Stiller tend to star in comedies From this information we should be able to infer that there is likely an acted in relationship between Ben Stiller and Tropic Thunder LearningWhat learning algorithm can we use to infer this information Recall how word embeddings are trained We can apply a similar strategy here We can create a vector embedding for each entity and each relationship type and train the embeddings such thatWe can imagine a suitable set of embeddings look like this In this case the closest movie to the vector Ben Stiller acted in is dodgeball but the second closest is Tropic Thunder Photo credit DodgeballAs for training the model we can try to maximize the difference between the score of of a relationship that doesn t exist for instance the relationship Tom Cruise is genre Ben Stiller and a relationship that does Ben Stiller acted in Dodgeball referred to as negative sampling This is also how word vectors are trained Concretely Specifically this encourages the positive score to be less than the negative score by some MARGIN amount For instance a possible solution would be positive negative MARGINloss positive negative MARGIN Lets build itI built this in PyTorch and posted the code here However I ll point out some of the more interesting aspects of the implementation that I found to help make the training more stable Negative SamplingThe goal of negative sampling is to produce a fact that is incorrect For instance “Ben Stiller acted in “Oblivion My pseudo code is as followsdef generate negative sample while entity relation entity in graph entity random entity relation random relation entity random entity I found that learning was more stable when the negative samples were oversampled relative to the number of correct facts def train fact embedding model optimizer Oversample negative entries avg loss for i in range embedding model zero grad loss embedding model fact loss backward optimizer step avg loss loss data return avg loss Training lossRecall the goal of this model is to infer that Ben Stiller is more likely to have acted in Tropic Thunder over Mission Impossible or Oblivion Here are the results remember according to our formulation a lower score more likely score ben stiller acted in dodgeball score ben stiller acted in tropic thunder score ben stiller acted in mission impossible score ben stiller acted in oblivion So this model is able to figure out that Ben Stiller is likely to have acted in Tropic Thunder a comedy more so than action movies and it was able to learn this by modeling over the links in the graph Photo credit Oblivion |
2021-11-01 23:24:10 |
| 海外TECH |
DEV Community |
Dependency inversion explained |
https://dev.to/murilomaiaa/dependency-inversion-explained-3olm
|
Dependency inversion explainedWhen we start to programming it s usual to develop simple algorithms Who has never created a CRUD of users Althought as time goes by our knowledge increases and our challenges too Now imagine that you are developing an application where everytime the user creates his account or forget his password the system sends to him an email As you are getting started you choose to use the easiest and cheaper way to send emails using SMTP I m going to use Typescript in example but you can use any oriented object language As said before our imaginary application will send email when the user register and forgot password Our system will send an email with different subjects and different texts and html So we have these services and nodemailer component NodemailerMailProvider tsimport nodemailer from nodemailer type SendMailParams to string subject string text string html string export class NodemailerMailProvider private transporter nodemailer Transporter constructor this transporter nodemailer createTransport transport options async sendMail html subject text to SendMailParams let info await this transporter sendMail from Our Application lt contact ourapp com gt to subject text html console log Message sent s info messageId console log Preview URL s nodemailer getTestMessageUrl info SendWelcomeEmailService tsimport NodemailerMailProvider from providers export class SendWelcomeEmailService private mailProvider NodemailerMailProvider constructor mailProvider NodemailerMailProvider this mailProvider mailProvider public async execute email string name string Promise lt void gt await this mailProvider sendMail to email subject Welcome text Welcome to our application name html lt b gt Welcome to our application name lt b gt SendForgotEmailService tsimport NodemailerMailProvider from providers NodemailerMailProvider export class SendForgotEmailService private mailProvider NodemailerMailProvider constructor mailProvider NodemailerMailProvider this mailProvider mailProvider public async execute email string Promise lt void gt await this mailProvider sendMail to email subject Password recovery text A password recovery was requested html A lt b gt password recovery lt b gt was requested But the system grows and starts to send a lot of emails So you decide to use Amazon SES And now you have SESMailProviderimport nodemailer Transporter from nodemailer import aws from aws sdk type SendMailParams to string subject string text string html string export default class SESMailProvider private client Transporter constructor this client nodemailer createTransport SES new aws SES apiVersion region us east public async sendMail to subject html text SendMailParams Promise lt void gt await this client sendMail from Our Application lt contact ourapp com gt to subject text html But now we have a problem in the constructor of SendForgotEmailService and SendWelcomeEmailService we have this dependency mailProvider NodemailerMailProvider Now we have to substitute the type of mailProvider to SESMailProvider private mailProvider NodemailerMailProviderconstructor mailProvider NodemailerMailProvider this mailProvider mailProvider now is going to be private mailProvider SESMailProviderconstructor mailProvider SESMailProvider this mailProvider mailProvider This change affects only services now but imagine that our application sends email when user log in when we want o send some notification as a like or a new post As the system grows we will have a lot of actions that send an email So if we want to change the MailProvider we will need to change in all constructors That s not good To solve it you can create an interface and make the providers implement it IMailProvider tsexport type SendMailParams to string subject string text string html string export interface IMailProvider sendMail params SendMailParams Promise lt void gt Now the providers are going to implement this interface How both providers has the same method sendMail with the same signature the only change we need to do is to add implements IMailProviderexport class NodemailerMailProvider implements IMailProvider export class SESMailProvider implements IMailProvider And after all the services will not recive NodemailerMailProvider SESMailProvider or any other implementation They will recive an IMailProvider private mailProvider IMailProviderconstructor mailProvider IMailProvider this mailProvider mailProvider Ok now we need to create the instance of the services I ll create just for SendWelcomeEmailService to avoid repetition const sendWelcomeEmail new SendWelcomeEmailService This will result in a error because SendWelcomeEmailService recives an IMailProvider But what is an IMailProvider NodemailerMailProvider and SESMailProvider are IMailProvider beacuse both of them implements it I am going to implement SendWelcomeEmailService injecting NodemailerMailProviderconst mailProvider new NodemailerMailProvider const sendWelcomeEmail new SendWelcomeEmailService mailProvider Now if you want to change your mail provider the only thing you will need to do is change the mail provider you inject in your services and you won t need to change anything in the service But we still have a problem The IMailProvider is required in more than one service Then we need to write const mailProvider new NodemailerMailProvider every time we need it To solve it we can create factory methods These methods are responsible to create the instances of our dependencies The first factory we will create is makeIMailProvider that obviously will be responsible to create the a implementation of IMailProvider export function makeIMailProvider IMailProvider return new NodemailerMailProvider and the factories for the services look that the mail provider will be the same for both services and if we have another service needs IMailProvider it would use the same provider tooconst mailProvider makeIMailProvider export function makeSendWelcomeEmailService return new SendWelcomeEmailService mailProvider export function makeSendForgotPasswordEmailService return new SendForgotPasswordEmailService mailProvider When you need the services you can justconst sendWelcomeEmail makeSendWelcomeEmailService orconst sendForgotPasswordEmail makeSendForgotPasswordEmailService And the best part if you want to change the implementation of IMailProvider you only need to change the factory methodexport function makeIMailProvider IMailProvider return new SendgridMailProvider return new MailchimpMailProvider return new SESMailProvider Note that the provider returned in the factory must implement the inerface IMailProvider Robert Matin in his book clean arquitecture saysThe Dependency Inversion Principle DIP tells us that the most flexible systems are those in which source code dependencies refer only to abstractions not to concretions If you want to see the full code check the repository in |
2021-11-01 23:02:22 |
| Apple |
AppleInsider - Frontpage News |
Beats axes Beats Solo Pro, Powerbeats and Beats EP |
https://appleinsider.com/articles/21/11/01/beats-axes-beats-solo-pro-powerbeats-and-beats-ep?utm_medium=rss
|
Beats axes Beats Solo Pro Powerbeats and Beats EPApple is paring down its Beats product lineup following the release of Beats Fit Pro on Monday with the audio subsidiary no longer offering Beats Solo Pro Powerbeats or Beats EP devices for sale Just hours after the new Beats Fit Pro was introduced listings for the Beats Solo Pro Powerbeats and Beats EP were removed from Apple s online storefront and the Beats by Dre website Read more |
2021-11-01 23:30:03 |
| Apple |
AppleInsider - Frontpage News |
Apple TV+ orders travel series hosted by Eugene Levy |
https://appleinsider.com/articles/21/11/01/apple-tv-orders-travel-series-hosted-by-eugene-levy?utm_medium=rss
|
Apple TV orders travel series hosted by Eugene LevyApple TV on Monday announced a series order for The Reluctant Traveler a fish out of water travel series hosted by Schitt s Creek star Eugene Levy Starring Levy as the eponymous reluctant traveler the upcoming show introduces viewers to the world s most remarkable hotels and the people places and cultures that surround them Apple says Levy will be packing his suitcase with some trepidation but hoping his experiences might lead to a whole new chapter in his life ーthat s as long as he doesn t have to battle his motion sickness and still gets dinner at a press release reads Read more |
2021-11-01 23:20:54 |
| Apple |
AppleInsider - Frontpage News |
Apple's Tim Cook to attend NYT's DealBook Summit on Nov. 9 |
https://appleinsider.com/articles/21/11/01/apples-tim-cook-to-attend-nyts-dealbook-summit-on-nov-9?utm_medium=rss
|
Apple x s Tim Cook to attend NYT x s DealBook Summit on Nov Apple CEO Tim Cook is slated to appear at The New York Times DealBook Summit where he will kick off a conference that includes sit down conversations with business moguls spanning a range on industries Announced on Monday by DealBook s Andrew Ross Sorkin Cook is scheduled to open the business and policy symposium with a conversation discussing the internet and the broader technology sector What is the future of the internet What innovations will make the next leap possible What battles should we be willing to fight The leader of the iconic tech giant shares his vision according to DealBook website Read more |
2021-11-01 23:26:00 |
| 金融 |
金融総合：経済レポート一覧 |
CSRを巡る動き：サステナブルファイナンスの地域金融機関への普及に向けて |
http://www3.keizaireport.com/report.php/RID/473461/?rss
|
日本総合研究所 |
2021-11-02 00:00:00 |
| 金融 |
金融総合：経済レポート一覧 |
みずほリサーチ 2021年11月号～個人消費の低迷はいつまで続くか？ / 米FOMCを悩ます高インフレ / 商品市況高騰の長期化懸念 / 風が吹かなければ、ロシアがもうかる？... |
http://www3.keizaireport.com/report.php/RID/473462/?rss
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個人消費 |
2021-11-02 00:00:00 |
| 金融 |
金融総合：経済レポート一覧 |
ESG投資を後押しする米国労働省規則改正～米国労働省が企業年金におけるESG投資を促す規則改正案を公表：ESG投資 |
http://www3.keizaireport.com/report.php/RID/473463/?rss
|
企業年金 |
2021-11-02 00:00:00 |
| 金融 |
金融総合：経済レポート一覧 |
Parameter Uncertainty and Effective Lower Bound Risk |
http://www3.keizaireport.com/report.php/RID/473466/?rss
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effectivelowerboundrisk |
2021-11-02 00:00:00 |
| 金融 |
金融総合：経済レポート一覧 |
FX Daily(10月29日)～ドル円、114円台に回復 |
http://www3.keizaireport.com/report.php/RID/473469/?rss
|
fxdaily |
2021-11-02 00:00:00 |
| 金融 |
金融総合：経済レポート一覧 |
FX Monthly(2021年11月号）～為替相場の見通し ドル円：インフレ高進が招いた円安の行方 |
http://www3.keizaireport.com/report.php/RID/473470/?rss
|
fxmonthly |
2021-11-02 00:00:00 |
| 金融 |
金融総合：経済レポート一覧 |
衆院選後の金融市場の注目点～市場の関心は経済対策に移る...：木内登英のGlobal Economy ＆ Policy Insight |
http://www3.keizaireport.com/report.php/RID/473471/?rss
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lobaleconomypolicyinsight |
2021-11-02 00:00:00 |
| 金融 |
金融総合：経済レポート一覧 |
気候変動に関する金融リスクの分析～マクロプルーデンスの視点：井上哲也のReview on Central Banking |
http://www3.keizaireport.com/report.php/RID/473473/?rss
|
reviewoncentralbanking |
2021-11-02 00:00:00 |
| 金融 |
金融総合：経済レポート一覧 |
マーケット見通し『向こう1年間の市場見通し』(2021年11月号) |
http://www3.keizaireport.com/report.php/RID/473489/?rss
|
第一生命経済研究所 |
2021-11-02 00:00:00 |
| 金融 |
金融総合：経済レポート一覧 |
内外経済ウォッチ『米国～ＦＯＭＣ参加者は慎重な利上げを想定～』(2021年11月号) |
http://www3.keizaireport.com/report.php/RID/473492/?rss
|
第一生命経済研究所 |
2021-11-02 00:00:00 |
| 金融 |
金融総合：経済レポート一覧 |
信金中金月報 2021年11月号～ワクチン接種を受けたらいいのでしょうか？ / コロナ禍の人流の動向と地域間の人口移動の状況 / 城南信用金庫におけるオンラインを用いた理事長と全職員との座談会について... |
http://www3.keizaireport.com/report.php/RID/473510/?rss
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中小企業 |
2021-11-02 00:00:00 |
| 金融 |
金融総合：経済レポート一覧 |
中国リスクにどう向き合うか～中国バブル崩壊はあるか、中国投資は危ないのか：高田レポート |
http://www3.keizaireport.com/report.php/RID/473513/?rss
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中国バブル |
2021-11-02 00:00:00 |
| 金融 |
金融総合：経済レポート一覧 |
法律のラウンジ：キャッシュレス決済 |
http://www3.keizaireport.com/report.php/RID/473524/?rss
|
発表 |
2021-11-02 00:00:00 |
| 金融 |
金融総合：経済レポート一覧 |
アジア主要通貨・株価の動き（10月29日まで） |
http://www3.keizaireport.com/report.php/RID/473528/?rss
|
国際金融情報センター |
2021-11-02 00:00:00 |
| 金融 |
金融総合：経済レポート一覧 |
CBDCにおける情報の利活用を考えるうえでの論点～シリーズ＜CBDCを考える＞(2)：CIPPS Information vol.183 |
http://www3.keizaireport.com/report.php/RID/473532/?rss
|
cippsinformationvol |
2021-11-02 00:00:00 |
| 金融 |
金融総合：経済レポート一覧 |
FOMCに注目 / ユーロ:「インフレ、インフレ、インフレ」の議論の末に / 英ポンド:BOEの決断と声明は？：Weekly FX Market Focus |
http://www3.keizaireport.com/report.php/RID/473546/?rss
|
weeklyfxmarketfocus |
2021-11-02 00:00:00 |
| 金融 |
金融総合：経済レポート一覧 |
投資環境ウィークリー 2021年11月1日号【日本、米国、欧州、タイ】今週は米FOMCが開催。景気・物価への評価と利上げ時期が焦点 |
http://www3.keizaireport.com/report.php/RID/473547/?rss
|
三菱ufj |
2021-11-02 00:00:00 |
| 金融 |
金融総合：経済レポート一覧 |
【石黒英之のMarket Navi】衆院選後の日本株相場展望～自民単独で絶対安定多数確保... |
http://www3.keizaireport.com/report.php/RID/473548/?rss
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marketnavi |
2021-11-02 00:00:00 |
| 金融 |
金融総合：経済レポート一覧 |
自民党が絶対安定多数を確保～株式市場は大幅上昇で始まる：マーケットレポート |
http://www3.keizaireport.com/report.php/RID/473549/?rss
|
三井住友トラスト |
2021-11-02 00:00:00 |
| 金融 |
金融総合：経済レポート一覧 |
ウィークリーレポート 2021年11月1日号～米国株式は続伸。主要3指数が過去最高値を更新... |
http://www3.keizaireport.com/report.php/RID/473550/?rss
|
三井住友トラスト |
2021-11-02 00:00:00 |
| 金融 |
金融総合：経済レポート一覧 |
【注目検索キーワード】データサイエンティスト |
http://search.keizaireport.com/search.php/-/keyword=データサイエンティスト/?rss
|
検索キーワード |
2021-11-02 00:00:00 |
| 金融 |
金融総合：経済レポート一覧 |
【お薦め書籍】グリーン・ジャイアント 脱炭素ビジネスが世界経済を動かす |
https://www.amazon.co.jp/exec/obidos/ASIN/4166613278/keizaireport-22/
|
成長戦略 |
2021-11-02 00:00:00 |
| 金融 |
日本銀行：RSS |
金融政策決定会合議事要旨（9月21、22日開催分） |
http://www.boj.or.jp/mopo/mpmsche_minu/minu_2021/g210922.pdf
|
金融政策決定会合 |
2021-11-02 08:50:00 |
| 金融 |
日本銀行：RSS |
マネタリーベース（10月） |
http://www.boj.or.jp/statistics/boj/other/mb/mb.htm
|
マネタリーベース |
2021-11-02 08:50:00 |
| ニュース |
BBC News - Home |
The Papers: Queen's 'emotive plea' and deal to save forests |
https://www.bbc.co.uk/news/blogs-the-papers-59128633?at_medium=RSS&at_campaign=KARANGA
|
glasgow |
2021-11-01 23:51:23 |
| ビジネス |
ダイヤモンド・オンライン - 新着記事 |
米EV新興リビアン、IPOで600億ドル強の評価額目指す - WSJ発 |
https://diamond.jp/articles/-/286433
|
評価額 |
2021-11-02 08:17:00 |
| ビジネス |
ダイヤモンド・オンライン - 新着記事 |
米中の経済苦境、対立雪解け効果も - WSJ発 |
https://diamond.jp/articles/-/286434
|
雪解け |
2021-11-02 08:14:00 |
| LifeHuck |
ライフハッカー［日本版］ |
自分が悪くないことまで、つい謝っていませんか？ |
https://www.lifehacker.jp/2021/11/245156heres-exactly-why-you-should-stop-apologizing-so-much.html
|
間違い |
2021-11-02 08:30:00 |
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