投稿時間:2023-01-05 17:33:07 RSSフィード2023-01-05 17:00 分まとめ(45件)

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IT 気になる、記になる… ドコモオンラインショップ、本日より「iPhone 13」シリーズや「iPhone 12」シリーズの一部割引内容を変更 https://taisy0.com/2023/01/05/166749.html gwelcome 2023-01-05 07:13:14
IT 気になる、記になる… ソニー、PS5用公式アクセシビリティコントローラー「Project Leonardo」を発表 https://taisy0.com/2023/01/05/166743.html projectleonardo 2023-01-05 07:02:18
ROBOT ロボスタ ソニー/東京大学/JAXAの超小型人工衛星『EYE』がSpaceXのロケットで宇宙へ!地上との通信に成功「宇宙からの撮影を身近なものに」 https://robotstart.info/2023/01/05/starsphere-eye-to-space.html 2023-01-05 07:22:22
IT ITmedia 総合記事一覧 [ITmedia PC USER] 大容量L3キャッシュ×16コアで競合を打破! デスクトップ向けRyzen 7000シリーズに「L3キャッシュ増量版」登場 https://www.itmedia.co.jp/pcuser/articles/2301/05/news120.html ITmediaPCUSER大容量Lキャッシュ×コアで競合を打破デスクトップ向けRyzenシリーズに「Lキャッシュ増量版」登場Zenアーキテクチャを採用するデスクトップ向けCPU「Ryzenシリーズ」に「通常版」と「Lキャッシュ増量版」が登場する。 2023-01-05 16:30:00
IT ITmedia 総合記事一覧 [ITmedia News] “攻め”の25万円切り、パナから新型フルサイズミラーレス2機種 冷却ファン・6K30p・初の像面位相差AF https://www.itmedia.co.jp/news/articles/2301/05/news122.html dcsmx 2023-01-05 16:30:00
TECH Techable(テッカブル) 養父市のメタバースがレイザーラモンRGとコラボ。「バーチャルやぶ」に“おみくじ処”登場 https://techable.jp/archives/188626 吉本興業 2023-01-05 07:57:29
TECH Techable(テッカブル) 絵本「ドーナツのなやみごと」のNFTがリリース。大手マーケット「OpenSea」で購入可能 https://techable.jp/archives/188575 amazon 2023-01-05 07:39:43
IT 情報システムリーダーのためのIT情報専門サイト IT Leaders 千葉県鋸南町、住民からの問い合わせに自動対応するFAQ/チャットボットを検証 | IT Leaders https://it.impress.co.jp/articles/-/24270 千葉県鋸南町、住民からの問い合わせに自動対応するFAQチャットボットを検証ITLeaders千葉県安房郡鋸南町きょなんまちは年月日、住民からの問い合わせにFAQよくある質問とチャットボットで自動対応する検証を開始した。 2023-01-05 16:05:00
python Pythonタグが付けられた新着投稿 - Qiita Raspberry Pi 4 を使ったROS入門 第6回 ジョイスティックとカメラによるロボット操作 https://qiita.com/H-Ando-robo/items/1c0d6615b171563e5e74 raspberrypi 2023-01-05 16:47:42
python Pythonタグが付けられた新着投稿 - Qiita CNNで親子丼と牛丼を見分ける...!! https://qiita.com/tasuku303/items/04ee25ff601304a987f3 畳み込みニューラルネットワーク 2023-01-05 16:31:27
python Pythonタグが付けられた新着投稿 - Qiita 変分オートエンコーダでそっくりな漢字ランキングを作った https://qiita.com/tsukemono/items/1c5be5fc4814055f2cf2 機械学習 2023-01-05 16:30:47
AWS AWSタグが付けられた新着投稿 - Qiita Cloud9 の環境複製手順 https://qiita.com/mitsu_kuma/items/f5e1f8210bbe48af7487 cloud 2023-01-05 16:02:01
Ruby Railsタグが付けられた新着投稿 - Qiita ユーザー名にバリデーションをつける https://qiita.com/masatom86650860/items/281a617d435d45fbc874 validatesnamepresen 2023-01-05 16:02:50
技術ブログ Developers.IO prismatix事業部にジョインしました八代醍です! https://dev.classmethod.jp/articles/yashirodai-joined-prismatix/ prismatix 2023-01-05 07:58:44
技術ブログ Developers.IO AzureのJust-In-Time VMアクセス機能により一時的なSSHのポート開放を試してみた https://dev.classmethod.jp/articles/azure-just-in-time-vm-access/ microsoftdefender 2023-01-05 07:53:18
技術ブログ Developers.IO クラスメソッドコリアにジョインした名越です! https://dev.classmethod.jp/articles/cmkr_joined_nagoshi_202301/ 自己紹介 2023-01-05 07:49:18
技術ブログ Developers.IO FortiGate VM の syslog を S3 に保管して Athena で分析してみた https://dev.classmethod.jp/articles/fortigatevm-syslog-athena/ watchlogskinesisfireho 2023-01-05 07:03:43
海外TECH DEV Community Complete Data Science Roadmap/ Bootcamp from noob to expert. https://dev.to/anurag629/complete-data-science-roadmap-bootcamp-from-noob-to-expert-4ee2 Complete Data Science Roadmap Bootcamp from noob to expert Welcome to the Data Science course Over the next days you will learn a wide range of topics related to Python programming data science and machine learning These topics will be covered in a variety of posts so be sure to bookmark this page and follow me here and on GitHub for updates Throughout the course you will have the opportunity to work with real world data sets and apply the concepts you have learned to solve practical problems You will also find exercises in each post that you can practice to further solidify your understanding of the material All materials and exercises will be available on the GitHub repository linked below GitHub link Complete Data Science BootcampBy the end of the course you will have a strong foundation in data science and be well prepared to pursue further study or a career in the field So let s get started PythonPython basicsInput Output Printing to the console Getting input from the userOperators Arithmetic operators e g Comparison operators e g amp gt amp lt Logical operators e g and or not Operations Working with variables Data types e g int float str Type conversion Basic string manipulation e g indexing slicing concatenation Python data structureslist Creating and accessing lists Modifying lists e g adding removing and sorting elements Looping through liststuple Creating and accessing tuples Modifying tuples e g adding and removing elements Looping through tuplesset Creating and accessing sets Modifying sets e g adding removing and intersecting elements Looping through setsdictionary Creating and accessing dictionaries Modifying dictionaries e g adding removing and updating key value pairs Looping through dictionariesPython fundamentalsloops For loops While loops Break and continue statementsfunctions Defining and calling functions Parameters and arguments Return valuesobject and classes Defining classes and objects Constructors and destructors Inheritance Method overloading and overridingPandas Introduction to Pandas library Loading and saving data with Pandas Working with DataFrames and Series Manipulating and cleaning data with PandasNumpy Introduction to Numpy library Creating and accessing arrays Array operations e g reshaping slicing and element wise operations Mathematical and statistical functionsMatplotlib Introduction to Matplotlib library Creating basic plots e g line scatter and bar plots Customizing plots e g labels titles and legends Saving and showing plotsSQL Introduction to Structured Query Language SQL Creating and modifying databases and tables Selecting filtering and sorting data Grouping and aggregating data Joining tables Subqueries and viewsMaths RefresherStatistics Mean median mode Range variance standard deviation Percentiles and quartiles Z scoresProbability Basic probability concepts e g events sample space and probability Conditional probability and independenceLinear algebra Vectors and matrices Matrix operations e g addition multiplication and transposition Calculus Limits and continuity Derivatives Integrals Fundamental theorem of calculusPython for data scienceJupyter notebook and google collab walkthrough Introduction to Jupyter notebooks and Google Colab Creating and running cells Importing and exporting notebooksPython data science libraries Introduction to popular data science libraries e g Scikit learn TensorFlow and Keras Installing and importing librariesExploratory data analysisVisualization Introduction to Matplotlib and Seaborn Plotting distributions scatterplots and boxplots Customizing plotsSummary statistics Calculating basic statistics e g mean median and standard deviation Generating descriptive statistics with PandasCorrelation analysis Calculating and interpreting correlations Visualizing correlations with scatterplotsData cleaning Handling missing values Removing outliers Normalizing and standardizing dataDimension reduction Introduction to dimension reduction techniques e g PCA and t SNE Implementing and interpreting dimension reduction in PythonAnomaly detection Introduction to anomaly detection techniques e g isolation forests and local outlier factor Implementing and interpreting anomaly detection in PythonFeature engineering Introduction to feature engineering Creating new features from existing data Selecting relevant features for model buildingMachine learningIntroduction Definition and types of machine learning Differences between supervised unsupervised and reinforcement learningSupervised learning Regression and classification algorithms Evaluation metrics for regression and classification models e g mean squared error and accuracy Classification K nearest neighbors KNN Logistic regression Support vector machines SVM Decision trees Introduction to decision trees Implementing decision trees in Python Visualizing decision treesTime series prediction Introduction to time series data Moving average and exponential smoothing models Autoregressive integrated moving average ARIMA modelUnsupervised learning Clustering algorithms e g k means and hierarchical clustering Evaluation metrics for clustering e g silhouette score and calinski harabasz index Some projects Suggested projects to apply machine learning concepts e g building a spam detector or a customer segmentation model Tableau Connecting to and importing dataWorking with data in TableauCreating and customizing visualizationsDashboarding and storytelling with TableauAdvanced techniques e g calculated fields parameters and table calculations Exporting and publishing dashboardsSame in tabular form ModuleTopicSub TopicContentLinksPythonPython basicsInput OutputPrinting to the consoleGetting input from the userOperatorsArithmetic operators e g Comparison operators e g gt lt Logical operators e g and or not OperationsWorking with variablesData types e g int float str Type conversionBasic string manipulation e g indexing slicing concatenation Python data structureslistCreating and accessing listsModifying lists e g adding removing and sorting elements Looping through liststupleCreating and accessing tuplesModifying tuples e g adding and removing elements Looping through tuplessetCreating and accessing setsModifying sets e g adding removing and intersecting elements Looping through setsdictionaryCreating and accessing dictionariesModifying dictionaries e g adding removing and updating key value pairs Looping through dictionariesPython fundamentalsloopsFor loopsWhile loopsBreak and continue statementsfunctionsDefining and calling functionsParameters and argumentsReturn valuesobject and classesDefining classes and objectsConstructors and destructorsInheritanceMethod overloading and overridingPandasIntroduction to Pandas libraryLoading and saving data with PandasWorking with DataFrames and SeriesManipulating and cleaning data with PandasNumpyIntroduction to Numpy libraryCreating and accessing arraysArray operations e g reshaping slicing and element wise operations Mathematical and statistical functionsMatplotlibIntroduction to Matplotlib libraryCreating basic plots e g line scatter and bar plots Customizing plots e g labels titles and legends Saving and showing plotsSQLIntroduction to Structured Query Language SQL Creating and modifying databases and tablesSelecting filtering and sorting dataGrouping and aggregatingJoining tablesSubqueries and viewsMaths RefresherStatisticsMean median modeRange variance standard deviationPercentiles and quartilesZ scoresProbabilityBasic probability concepts e g events sample space and probability Conditional probability and independenceBayes theoremLinear algebraVectors and matricesMatrix operations e g addition multiplication and transposition Determinants and inversesCalculusLimits and continuityDerivativesIntegralsFundamental theorem of calculusPython for data scienceJupyter notebook and google collab walkthroughIntroduction to Jupyter notebooks and Google ColabCreating and running cellsImporting and exporting notebooksPython data science librariesIntroduction to popular data science libraries e g Scikit learn TensorFlow and Keras Installing and importing librariesExploratory data analysisVisualizationIntroduction to Matplotlib and SeabornPlotting distributions scatterplots and boxplotsCustomizing plotsSummary statisticsCalculating basic statistics e g mean median and standard deviation Generating descriptive statistics with PandasCorrelation analysisCalculating and interpreting correlationsVisualizing correlations with scatterplotsData cleaningHandling missing valuesRemoving outliersNormalizing and standardizing dataDimension reductionIntroduction to dimension reduction techniques e g PCA and t SNE Implementing and interpreting dimension reduction in PythonAnomaly detectionIntroduction to anomaly detection techniques e g isolation forests and local outlier factor Implementing and interpreting anomaly detection in PythonFeature engineeringIntroduction to feature engineeringCreating new features from existing dataSelecting relevant features for model buildingMachine learningIntroductionDefinition and types of machine learningDifferences between supervised unsupervised and reinforcement learningSupervised learningRegression and classification algorithmsEvaluation metrics for regression and classification models e g mean squared error and accuracy ClassificationK nearest neighbors KNN Logistic regressionSupport vector machines SVM Decision treesIntroduction to decision treesImplementing decision trees in PythonVisualizing decision treesTime series predictionIntroduction to time series dataMoving average and exponential smoothing modelsAutoregressive integrated moving average ARIMA modelUnsupervised learningClustering algorithms e g k means and hierarchical clustering Evaluation metrics for clustering e g silhouette score and calinski harabasz index Some projects Suggested projects to apply machine learning concepts e g building a spam detector or a customer segmentation model TableauIntroduction to TableauConnecting to and importing dataWorking with dataWorking with data in TableauCreating and customizing visualizationsDashboarding and storytelling with TableauAdvanced techniquesCalculated fields parameters and table calculationsExporting and publishing dashboardsWe hope that you will enjoy learning about data science with me By completing this course you should now have a strong foundation in Python programming SQL maths refresher data science with Python machine learning and Tableau You should be well prepared to pursue further study or a career in the field and we encourage you to continue learning and staying up to date on new developments in the world of data science We would like to thank you for joining me on this journey and hope that you will continue to follow us for future updates and learning opportunities Don t forget to check out the GitHub repository linked below for all materials and exercises and we look forward to seeing what you will accomplish with your new skills GitHub link Complete Data Science Bootcamp 2023-01-05 07:41:12
海外TECH DEV Community Material Design 3: All You Need to Know About the Google's Design System https://dev.to/quokkalabs/material-design-3-all-you-need-to-know-about-the-googles-design-system-dp3 Material Design All You Need to Know About the Google x s Design SystemMaterial is the newest version of the open source design system from Google Following Android Google overhauled the design language with Material Design These new releases will benefit UI UX designers and end users This blog will explain how to use it and provide the necessary information Read More The Impact of Visual Design On Overall User Experience Quokka Labs The Role and Impact of Visual Design on UX Designers Visual Design is about using text design and color in a way to enhance the overall design quokkalabs com What Is Material Design and Material You Material Design is Google s design language released in Material Design is a comprehensive set of guidelines developed by Google to improve the overall look and feel of Android apps with streamlined designs On the other hand an app design approach can be customized according to the user s tastes and preferences Google intends to bring excitement and creativity to Android apps Google has added lots of updates related to Material Design and MaterialUI icons In an interview Google s VP of design Matias Duarte proposed a new personalized way to do it Now apps and widgets can be personalized according to wallpaper color palettes It needs no effort from users to make it happen What s New in Google Material Design Everything You Need to Know Dynamic Colors Material Design Material Design is a perfect and bold update that changes dynamic colors It has a built in combination feature that takes input from the user s wallpaper colors Now a new different colored palette applies to any app that supports accepts dynamic colors Now in the dark and light modes the app s native color palette is mixed with the user s to make a personalized version of the app Also designers can create a palette with a theme builder and see their app colors UI Components and MaterialUI icons Material DesignAs you can see in the image MaterialUI components got a new style Overall Material design got a more straightforward playful look rounder elements lighter shadows and white space It also has new active states which are all compatible with dynamic colors As you can see below the image the navigation rail also got a new touch In this update new floating action buttons also got a new look They got boxier and available in a new style with a larger format Now they can adapt to larger screens Cards also got a new look with three formats elevated outlined and filled Dialog models also got more room for padding to use their boxier shape They now come with good headlines to enhance readability Foldable DeviceYes you thought it was fitting Material Design makes the future perfect for a foldable device with a new set of guidelines components animations and compositions CompositionIn Google Material Design there are new updates related to layouts designed for large and foldable screens There is a perfect list for conversation threads file browsers and media collections New supporting panels similar to lists display complementary information on the side of the screen But here the right side of the screen is mobilized to show document comments related files and support data related to the focus panel on the left Material Design got feeds for foldable devices that will suggest new content There is a hero layout to highlight tip images or videos on the other layouts like supporting panels MotionFoldable devices allow for entirely new interactions and transitions For example multiple apps can run side by side and users can switch between drastically different screen sizes on the fly Here are some examples of new motions enabled by Google Material Design to assist users in navigating and interacting with your content The motion from landscape to Portrait The motion for dialogs Adaptive Type ScaleOne of Google s primary goals for Material Design is to assist creatives in designing for every screen As a result instead of utilizing fixed numbers they now encourage designers to utilize a scale small medium large to map font sizes to all screen widths This is especially helpful when designing apps for foldable devices Design TokensDesign tokens are a new material tool intended to improve consistency and collaboration among design teams However their time saving potential is enormous for large teams working on multiple and complex apps builds Tokens contain dynamic style values such as colors typefaces measurements or even other tokens which can be updated across an entire project at once They enable teams to control styles from a single location during the design and execution phases on all platforms not just Android Isn t it possible that your next app upgrade will be less aching Tools and Resources to Help You Switch Over to Material Design M a new spot for material guidelinesMaterial Theme Builder A tool to explore dynamic colors visualize what dynamic colors will look like in your app and create custom palettes It is a Figma plugin and web tool Jet Composer Updates For custom coding appsFigma Design Kit Material Design ExamplesMaterial Design has only been available to non Google apps since late October which explains why so few apps have been published or rebuilt with it thus far But here s how it looks when applied to Google s particular apps Google CalculatorIn the above image you can see the old and new calculator apps GmailNew updates Active state custom color palette reduced radius on floating action button Google DriveUpdates Simple elevations dynamic colors and taller navigation than previous Clock AppMost noticeable updates active states dynamic colors multi size FABs Know More about UI UX Design UI amp UX Design A Beginner s Guide Quokka labs UI and UX are two distinct design specializations that are often spoken of together but follow a completely different career route quokkalabs com Final Words Is It Good to Adapt Material Design What s next In this post we have seen all the new updates relating to the release of Design The upcoming updates are also ready to add D objects Also according to a Google blog we can expect more updates related to the color palette Material Design undoubtedly got updates that users and designers loved A successful business and digitalization need the best UI UX design service to create slick designs But the main question is will brands adapt their Material Design What do you think Comment with your thoughts Keep visiting for the latest updates 2023-01-05 07:02:39
海外TECH Engadget Watch Samsung's keynote at CES 2023 in 6 minutes https://www.engadget.com/watch-samsung-keynote-ces-2023-6-minutes-074418062.html?src=rss Watch Samsung x s keynote at CES in minutesSamsung introduced new QD OLED TVs and a inch K gaming display the Freestyle projector and new Bespoke smart appliances at this year s CES During the company s keynote it also talked about its products new features and upgrades in detail including a new wash cycle for washing machines that can reduce microplastic pollution nbsp Presenters talked about SmartThings Workspace which lets you connect to linked devices remotely and SmartThings Pet Care as well Samsung s pet service can send you alerts when your dogs bark and put on a show or video on a connected display to keep them entertained Plus it enables the camera on the brand s robot vacuum to recognize dogs and cats nbsp In addition Samsung introduced the latest SmartThings hub which is its smallest yet The SmartThings Station as it s called has a button that you can use to program smart lights air conditioner or other home devices like smart blinds It s the first Samsung product to come with built in Matter support giving it the capability to connect with Matter enabled devices from other manufacturers Any content played on the latest Samsung smart TVs can now sync with Philips Hue Lights for immersive lighting effects The company also talked about the Knox Matrix its security solution that acts as your private blockchain system for its smart home devices Finally Samsung presented the in cabin car technology it developed in partnership with Harmon as well as a new display technology called Relumino mode that can help people with low vision to see images more clearly nbsp You can watch a condensed version of the event to get the gist of Samsung s announcements in the video above 2023-01-05 07:44:18
海外科学 BBC News - Science & Environment Energy crisis: MPs call for 'war effort' on insulation https://www.bbc.co.uk/news/science-environment-64168571?at_medium=RSS&at_campaign=KARANGA efficiency 2023-01-05 07:10:26
医療系 医療介護 CBnews 管理栄養士国試出題改定、多職種連携など見直しを-検討会報告書案、「他の職種にも分かる形で」 https://www.cbnews.jp/news/entry/20230105162541 厚生労働省 2023-01-05 16:40:00
医療系 医療介護 CBnews 電子処方箋に対応できる医療機関を公表へ-今月中旬にも、厚労省方針 https://www.cbnews.jp/news/entry/20230105150016 医療機関 2023-01-05 16:10:00
金融 日本銀行:RSS 日本銀行が保有する国債の銘柄別残高 http://www.boj.or.jp/statistics/boj/other/mei/release/2022/mei221230.xlsx 日本銀行 2023-01-05 17:00:00
金融 日本銀行:RSS 日本銀行による国庫短期証券の銘柄別買入額 http://www.boj.or.jp/statistics/boj/other/tmei/release/2022/tmei221230.xlsx 国庫短期証券 2023-01-05 17:00:00
金融 日本銀行:RSS 日本銀行が受入れている担保の残高(12月末) http://www.boj.or.jp/statistics/boj/other/col/col2212.xlsx 日本銀行 2023-01-05 17:00:00
海外ニュース Japan Times latest articles Sony-Honda EV alliance unveils Afeela brand and Qualcomm partnership https://www.japantimes.co.jp/news/2023/01/05/business/sony-honda-ev-afeela-qualcomm/ Sony Honda EV alliance unveils Afeela brand and Qualcomm partnershipThe first model under the Afeela brand is expected to be delivered in in North America and will be based on a prototype debuted 2023-01-05 16:21:27
ニュース BBC News - Home Prince Harry accuses Prince William of physical attack in book - report https://www.bbc.co.uk/news/uk-64170469?at_medium=RSS&at_campaign=KARANGA guardian 2023-01-05 07:05:14
ニュース BBC News - Home Amazon to axe 18,000 jobs as it cuts costs https://www.bbc.co.uk/news/business-64171008?at_medium=RSS&at_campaign=KARANGA amazon 2023-01-05 07:53:07
ニュース BBC News - Home Brit shot in Jamaica contract killing, police say https://www.bbc.co.uk/news/uk-england-london-64165980?at_medium=RSS&at_campaign=KARANGA jamaica 2023-01-05 07:12:59
ビジネス 不景気.com 東京・神田の「冨士印刷」に破産開始決定、負債30億円 - 不景気com https://www.fukeiki.com/2023/01/fuji-printing.html 東京都千代田区神田三崎町 2023-01-05 07:03:05
北海道 北海道新聞 北大副学長の吉見宏さん死去 61歳、長崎市出身 https://www.hokkaido-np.co.jp/article/783778/ 長崎市 2023-01-05 16:37:00
北海道 北海道新聞 防衛財源協議へ特命委設置 自民、萩生田氏トップに https://www.hokkaido-np.co.jp/article/783777/ 政調会長 2023-01-05 16:36:00
北海道 北海道新聞 柔道の向がALSOK退社 東京五輪代表、所属変更 https://www.hokkaido-np.co.jp/article/783767/ 向翔一郎 2023-01-05 16:21:44
北海道 北海道新聞 ホンダ、中国新車販売12%減 22年、2年連続前年割れ https://www.hokkaido-np.co.jp/article/783776/ 中国市場 2023-01-05 16:36:00
北海道 北海道新聞 中日・大野雄大、恒例の登山 地元京都で練習公開 https://www.hokkaido-np.co.jp/article/783765/ 京都市左京区 2023-01-05 16:11:36
北海道 北海道新聞 首相「日韓改善取り組む」 公明代表に伝達 https://www.hokkaido-np.co.jp/article/783775/ 公明代表 2023-01-05 16:26:00
北海道 北海道新聞 「スタルヒン像」の本田明二彫刻、故郷の月形に 4月ギャラリー開設 https://www.hokkaido-np.co.jp/article/783611/ 月形樺戸博物館 2023-01-05 16:25:33
北海道 北海道新聞 <おたる水族館 楽しい仲間たち>まずやってみる 予想超える行動に驚き https://www.hokkaido-np.co.jp/article/783675/ 持続可能な開発 2023-01-05 16:04:25
ニュース Newsweek ベラルーシが参戦か?街の電光掲示板に恐怖のメッセージ https://www.newsweekjapan.jp/stories/world/2023/01/post-100496.php その動画がネットに流れ、いよいよ国民を動員し、ウクライナ侵攻に参戦するのではないかという憶測が飛び交っている。 2023-01-05 16:25:22
IT 週刊アスキー 次期ワイヤレス充電規格の「Qi2」は、アップル「MagSafe」ベースで今年末にも製品登場 https://weekly.ascii.jp/elem/000/004/119/4119531/ irelesspowerconsortiumwpc 2023-01-05 16:50:00
IT 週刊アスキー すき焼きに玉子2つ以上欲しいあなたへ! 吉野家、玉子を無料で提供キャンペーン https://weekly.ascii.jp/elem/000/004/119/4119527/ 牛すき丼 2023-01-05 16:45:00
IT 週刊アスキー すぐ死ぬハードさがクセになる?Switch版『Backpack Twins』本日発売 https://weekly.ascii.jp/elem/000/004/119/4119513/ backpacktwins 2023-01-05 16:40:00
IT 週刊アスキー THQ NordicがPS Storeとニンテンドーeショップで「新春セール」を実施中! https://weekly.ascii.jp/elem/000/004/119/4119515/ playstationstore 2023-01-05 16:30:00
IT 週刊アスキー 大正元年より続く老舗和菓子ブランド「築地ちとせ」が新宿小田急エース北館店「POP UPシュクレイ」に登場 https://weekly.ascii.jp/elem/000/004/119/4119465/ popup 2023-01-05 16:20:00

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