投稿時間:2021-12-13 08:18:56 RSSフィード2021-12-13 08:00 分まとめ(24件)

カテゴリー等	サイト名等	記事タイトル・トレンドワード等	リンクURL	頻出ワード・要約等/検索ボリューム	登録日
TECH	Engadget Japanese	梅雨は乾燥、夏・秋はダニ駆除、冬は温めに。1年中使える多機能スマート布団乾燥機【FIVEHOME D1】	https://japanese.engadget.com/fivehome-d1-225011084.html	年中使える多機能スマート布団乾燥機【FIVEHOMED】＼FIVEHOMEDのポイント布団・衣類・靴の乾燥など、年中様々なシーンで大活躍様々なモードと専用ホース付き季節や用途に応じて、運転時間を簡単に設定できます。	2021-12-12 22:50:11
TECH	Engadget Japanese	ボイスメモで再生速度の変更や無音をスキップが便利なんです：iPhone Tips	https://japanese.engadget.com/voice-memo-221032967.html	iphonetips	2021-12-12 22:10:32
IT	ITmedia 総合記事一覧	[ITmedia News] AWS、12月7日の大規模障害について説明　ステータスページの改善を約束	https://www.itmedia.co.jp/news/articles/2112/13/news063.html	amazon	2021-12-13 07:04:00
TECH	Techable（テッカブル）	メタバース上の3D CG映像に触れてみよう。「さわれるライブ™ 5D LIVE™」で新しい映像体験を	https://techable.jp/archives/168600	dlive	2021-12-12 22:00:52
python	Pythonタグが付けられた新着投稿 - Qiita	Python>Flask:YOLOV5を活用した物体検出アプリの作成 (2)Local環境でのwebアプリ立ち上げ	https://qiita.com/k_koba619/items/7979208777499e4e76f0	検索ででてきた「anaconda」にチェックを入れて、「Apply」をクリック。	2021-12-13 07:50:39
python	Pythonタグが付けられた新着投稿 - Qiita	ServerlessFramework + AWS + Pythonで作るレイヤーと単体テスト	https://qiita.com/nashitake/items/e8255f8a5daa8df81990	ServerlessFrameworkAWSPythonで作るレイヤーと単体テストはじめにServerlessFrameworkAWSPythonでバックエンドを構築しているとき、開発規模が大きくなってくるとLambda内のPythonコードを共通化したくなることがあると思います。	2021-12-13 07:40:56
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Vue CLIでElementが導入できない	https://teratail.com/questions/373519?rss=all	VueCLIでElementが導入できないVuejsの学習を始めたばかりの初心者です。	2021-12-13 07:55:53
AWS	AWSタグが付けられた新着投稿 - Qiita	ServerlessFramework + AWS + Pythonで作るレイヤーと単体テスト	https://qiita.com/nashitake/items/e8255f8a5daa8df81990	ServerlessFrameworkAWSPythonで作るレイヤーと単体テストはじめにServerlessFrameworkAWSPythonでバックエンドを構築しているとき、開発規模が大きくなってくるとLambda内のPythonコードを共通化したくなることがあると思います。	2021-12-13 07:40:56
AWS	AWSタグが付けられた新着投稿 - Qiita	[初心者向け] ゼロから始めるGo + Nuxt.js + Terraform + AWS + DockerでWebアプリ開発	https://qiita.com/opeco17/items/dfe3b78413e02e3f83db	のVuejsの学習ですが、Vuejs入門基礎から実践アプリケーション開発までを使用しました。	2021-12-13 07:23:45
Docker	dockerタグが付けられた新着投稿 - Qiita	[初心者向け] ゼロから始めるGo + Nuxt.js + Terraform + AWS + DockerでWebアプリ開発	https://qiita.com/opeco17/items/dfe3b78413e02e3f83db	のVuejsの学習ですが、Vuejs入門基礎から実践アプリケーション開発までを使用しました。	2021-12-13 07:23:45
golang	Goタグが付けられた新着投稿 - Qiita	[初心者向け] ゼロから始めるGo + Nuxt.js + Terraform + AWS + DockerでWebアプリ開発	https://qiita.com/opeco17/items/dfe3b78413e02e3f83db	のVuejsの学習ですが、Vuejs入門基礎から実践アプリケーション開発までを使用しました。	2021-12-13 07:23:45
Ruby	Railsタグが付けられた新着投稿 - Qiita	RailsアプリをEC2からECS/Fargate構成に移行してホストする【ECS準備編】	https://qiita.com/Shuhei_Nakada/items/9e4c51bf9ae59f0b1a2b	すると、DockerイメージをECRに保存するまでに必要なコマンドがつ自動表示されます。	2021-12-13 07:50:16
技術ブログ	Developers.IO	AWS CDKv2 でスナップショットテストと CI を始めてみよう	https://dev.classmethod.jp/articles/cdk-v2-snapshot-test-lets-start/	awscdkv	2021-12-12 22:19:01
技術ブログ	Developers.IO	あらゆるリソースへのアクセスを一元管理するゲートウェイSaaS「strongDM」を触ってみた	https://dev.classmethod.jp/articles/dive-deep-into-modern-data-saas-about-strongdm/	rastructureaccessplatform	2021-12-12 22:00:52
海外TECH	MakeUseOf	Blender 3.0 Has Arrived! The Best New Features to Try	https://www.makeuseof.com/blender-3-best-new-features/	features	2021-12-12 22:33:21
海外TECH	DEV Community	Python Tools for Data Science: The Best Python Packages, Libraries and Frameworks	https://dev.to/imagescv/python-tools-for-data-science-the-best-python-packages-libraries-and-frameworks-28im	Python Tools for Data Science The Best Python Packages Libraries and FrameworksIf you re just getting started with data science then Python programming is a great language to start with It s the most popular programming language for data scientists and it has many powerful packages libraries and frameworks that are designed specifically for their needs In this post we ll take a look at some of the best tools out there so read on if you want to get up to speed quickly NumPy is the fundamental package for scientific computing in Python It provides an efficient and comprehensive array processing facility that can handle large multi dimensional arrays NumPy also contains high level mathematical functions for linear algebra Fourier transforms and other operations Pandas is a powerful data analysis library that provides everything you need to manipulate process and analyze data in Python It s built on top of NumPy which means that it uses efficient arrays to handle structured data Pandas is great for working with time series analysis e g stocks prices or relational data e g Excel files Seaborn is a powerful statistical plotting library for Python that s built on top of Matplotlib It provides a wide range of high level plotting functions for statistical data as well as support for customizing the look and feel of your plots Seaborn is great for visualizing regression models or clustering data Scikit Learn is a versatile machine learning library that provides tools for data mining preprocessing and modeling You can use this tool to do everything from clustering your text data to building random forests or deep neural networks What s really great about Scikit learn is that it allows you to work with Python code instead of having to learn a new language These are just some of the best Python tools for data science there are many others out there that can help you get your job done quickly and efficiently So don t be afraid to experiment with different libraries and frameworks until you find the one that s right for you images cv provide you with an easy way to build image datasets K categories to choose fromConsistent folders structure for easy parsingAdvanced tools for dataset pre processing image format data split image size and data augmentation Visit images cv to learn more	2021-12-12 22:55:50
海外TECH	DEV Community	Using MongoDB with Node.JS	https://dev.to/peppermints/using-mongodb-with-nodejs-4n94	Using MongoDB with Node JSFirst create a new project CD into the project folder and run npm init Follow those steps until you re done Run npm i mongodb This will install the official MongoDB driver for Node Create an index js or main js depending on your main file when you ran npm init Inside there add this const MongoClient require mongodb const mongouri mongodb your connection string const client new MongoClient mongouri client connect then console log Connected to MongoDB Congrats if you run node you should see Connected to MongoDB Let s create a quick question database by using an asynchronous function Add this above client connect then console log Connected to MongoDB and under the constants async function createListing db collection data await client db db collection collection insertOne data Then under client connect put createListing question questions question What s answer Go ahead and run node If you have access to your database you should see that listing in the database Let s read a listing and compare an answer by creating another asynchronous function Under the createListing function add async function readListing db collection data const result await client db db collection collection findOne data if result null result undefined return false return result Then let s remove the lines where we created our listing and we will replace it with let guess const res readListing question questions answer guess if res false console log Oops you got it wrong else console log Yay You got it right And now we will run node it should output Yay You got it right Congratulations You ve just created and read data from a database To the beginners Keep learning You never know what you can accomplish if you keep putting your all into it This tutorial has just showed you how to use one of the BEST databases out there very easily So go and do what we all beginners should do keep learning and keep attempting new things Good luck	2021-12-12 22:33:22
海外TECH	DEV Community	I made a Bandersnatch clone. Come interview me!	https://dev.to/noriller/i-made-a-bandersnatch-clone-come-interview-me-5bkg	I made a Bandersnatch clone Come interview me It s amazing how complex something can get And something like this sure demanded a lot especially because many of the APIs I had never used And also all the event listeners and triggers so many triggers My player has a fraction of the functionalities a player like Youtube has and yet I was already drowning in endless pages of events The stackNext js React jsMostly because is what I m used to and since I m using React no reason not to go with Next even though I m not actually using anything it offers Chakra UII love the developer experience of Chakra UI I mean what s more intuitive than fontSize em em em to handle breakpoint values AWS S CloudfrontThe videos are hosted there Github of the project What I m not usingThe video data should probably be inside a CMS and if I want to make it a boilerplate of sorts for other things I could probably refactor a lot to make all the configuration taken from a CMS If I did that I could actually put Next to use and have multiple different copies each one for one occasion But that will come another time And tests I chose not to have tests because the components are either too humble or too godly The actual video player has too many triggers going on and I was changing a lot from commit to commit alongside learning the APIs so I m ashamed to say it s not tested The playerWhat do you need for a player I choose to go vanilla on this one using the pure lt video gt component For those who don t know the most important APIs for the player are the HTMLMediaElement and the Media Source API HTMLMediaElement is the one you use for the video components Media Source API is the one you use if you want full control of the buffer you re using on your video This one basically gives you player superpowers Things to considerWhen making the best video player possible you probably want to make your own controls so give a look at my Fullscreen API article And when I think about a video player I think about Play PauseVolumeVideo QualityPlayback SpeedSeek barFullscreenAll with buttons or clicks and with listeners for the keyboard Of course you re always free to not implement something maybe because it s something you think your app shouldn t do as I did Interview Fine you want to see the finished product right But first What s the interview about And the interview is actually a job interview mine You can interview me at I m currently job hunting for a job opportunity outside Brazil where I m currently living And since I had little success I decided to spice my portfolio a bit while making sure I could get interviewed by anyone who wants it There are a lot of opportunities out there but for reasons even when I got to the interview phase If you or your company is hiring I want to work with you I like frontend but I m fullstack And while I do have some years of programming I m considering even junior positions I do still have a lot to learn I would love to work on site or hybrid so I would need sponsorship If not you can always help by sharing maybe someone will want to work with an outside the box guy who made a Bandersnatch clone to get interviews If you want you can share this very message Check this out mad lad made a Bandersnatch clone to get interviews Watch here And regardless of that feel free to add me on Linkedin As a special thanks I have to acknowledge another outside the box person who used a chatbot to get a lot of interviews I saw in the news somewhere a few months ago and since I can do frontend well there you have it	2021-12-12 22:25:14
ニュース	BBC News - Home	Kentucky tornadoes: 100 year-old-church destroyed in seconds	https://www.bbc.co.uk/news/world-us-canada-59631837?at_medium=RSS&at_campaign=KARANGA	kentucky	2021-12-12 22:25:36
ビジネス	ダイヤモンド・オンライン - 新着記事	アリババ、性的暴行を告発した女性従業員を解雇 - WSJ発	https://diamond.jp/articles/-/290497	性的暴行	2021-12-13 07:06:00
ビジネス	東洋経済オンライン	日経平均株価の運命を決める1週間がやってきた ｢移動平均線の束｣を抜くことはできるのか | 市場観測 | 東洋経済オンライン	https://toyokeizai.net/articles/-/475995?utm_source=rss&utm_medium=http&utm_campaign=link_back	日経平均株価	2021-12-13 07:30:00
ニュース	THE BRIDGE	Nvidia CEOが語った、地球まるごとデジタルツインと「Omniverse Avatar」の可能性（２/２）	https://thebridge.jp/2021/12/the-deanbeat-building-the-metaverse-for-free-2	NvidiaCEOが語った、地球まるごとデジタルツインと「OmniverseAvatar」の可能性前編からの続きデュアルユース技術私は常々、野心的な企業がどのようにしてメタバースのようなものを構築するのか疑問に思っていたが、今になって、シミュレートすることがより重要なこともあることがわかった。	2021-12-12 22:45:35
ニュース	THE BRIDGE	テキストから実物そっくりの風景画像を作成、Nvidiaの最新AI「GauGAN2」の威力	https://thebridge.jp/2021/12/nvidias-latest-ai-tech-translates-text-into-landscape-images	テキストから実物そっくりの風景画像を作成、Nvidiaの最新AI「GauGAN」の威力Nvidiaは月日、GauGANモデルの後継となるGauGANというAIシステムの詳細を発表した。	2021-12-12 22:30:08
ニュース	THE BRIDGE	Zoom疲れを解消？ Web会議ツール「Headroom」公開——時間⅒のまとめ動画作成、将来は決定事項の自動回答も	https://thebridge.jp/2021/12/headroom-launches-to-combat-zoom-fatigue-with-ai	Zoom疲れを解消Web会議ツール「Headroom」公開ー時間⅒のまとめ動画作成、将来は決定事項の自動回答も世界的な新型コロナウイルスの感染拡大により労働力が変化したと言っても過言ではないだろう。	2021-12-12 22:15:22