投稿時間:2023-05-05 17:21:37 RSSフィード2023-05-05 17:00 分まとめ(23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	Techable（テッカブル）	多様なネット動画を大画面＆高画質で楽しめる！RCAチューナーレステレビ	https://techable.jp/archives/205055	amazon	2023-05-05 07:00:09
python	Pythonタグが付けられた新着投稿 - Qiita	Python Q&A	https://qiita.com/AnyaQuantseng2/items/20a4f9a2cc2dcdda1e2f	pythonqampapython	2023-05-05 16:29:42
Ruby	Rubyタグが付けられた新着投稿 - Qiita	eeeeeeeeee	https://qiita.com/AiOnaga/items/1fecea24f0f4186d30dc	Detail Nothing	2023-05-05 16:31:42
Ruby	Rubyタグが付けられた新着投稿 - Qiita	qqqqqqqqq	https://qiita.com/AiOnaga/items/4f4bbcda04f1575bbb03	Detail Nothing	2023-05-05 16:09:14
Ruby	Rubyタグが付けられた新着投稿 - Qiita	qqqqqqqq	https://qiita.com/AiOnaga/items/623506370ad1729a0fc9	Detail Nothing	2023-05-05 16:06:28
Docker	dockerタグが付けられた新着投稿 - Qiita	Dockerコミュニティを作ってみる【途中経過】	https://qiita.com/minegishirei_v2/items/23fa580df21ca84d9d03	docker	2023-05-05 16:18:50
Docker	dockerタグが付けられた新着投稿 - Qiita	Nextcloud with Apache2 + php-fpm + PostgreSQL on Docker	https://qiita.com/NeK/items/910920aad1644a1ef5b6	apache	2023-05-05 16:15:36
Git	Gitタグが付けられた新着投稿 - Qiita	Hugo の {{ .Lastmod }} が 0001/01/01 になるときの解決策	https://qiita.com/Lin24/items/f90d5e3fed72cd9d2525	fooindexmd	2023-05-05 16:09:12
Ruby	Railsタグが付けられた新着投稿 - Qiita	Turbo Streams とセキュリティの話。Turbo Rails Tutorial をやってみた（6章）	https://qiita.com/yuppymam/items/35645d52b9880dcc205c	turborailstutorial	2023-05-05 16:23:26
技術ブログ	Developers.IO	AWS Verified Access を使った時とパブリックALBを経由した場合のリクエスト情報を比較してみた	https://dev.classmethod.jp/articles/aws-verified-access-request/	applic	2023-05-05 07:28:10
海外TECH	MakeUseOf	The Best Google Pixel Deals: Pixel 7 Pro Gets Its Best Price Yet	https://www.makeuseof.com/best-google-pixel-deals/	pixel	2023-05-05 07:01:09
海外TECH	DEV Community	Create your own ChatGPT App in 1 Minute	https://dev.to/willkre/create-your-own-chatgpt-app-in-1-minute-4ipl	Create your own ChatGPT App in MinuteHere s what we ll be building in just a minute The create svelte chatgpt package enables you to effortlessly set up a SvelteKit application integrated with ChatGPT the powerful language model by OpenAI This package comes with a pre built chat interface saving you time on design and implementation As a demonstration of what you can achieve with this package we ll walk through the process of creating a chatbot that impersonates a specific character Even if you re not familiar with Svelte you can easily follow along and get started PrerequisitesBefore we begin ensure you have the following Node js installed on your systemAn OpenAI API key you can obtain one from the OpenAI dashboard Step Install the create svelte chatgpt packageExecute the following command in your terminal npx create svelte chatgpt latestThis command prompts you for a project name and then generates a new SvelteKit application with ChatGPT preconfigured Step Configure your API key and environmentcd into your project directory create a env file in the root directory of your new project and add your OpenAI API key Optionally you can also provide a Redis URL and password for persistent chat history OPENAI API KEY xxxREDIS URL yyy OptionalREDIS PASSWORD zzz OptionalStep Customize the chatbot characterNavigate to the src lib config index ts file You ll find a createConfig function that returns an object containing various properties related to the chatbot character To customise the character modify the following properties nickName The nickname for your character fullName The full name of the character receiverImgSrc The URL or path to the image representing the character senderImgSrc The URL or path to the image representing the user promptPrefix A prefix added to user input to guide the AI e g Act as Elon Musk For instance you can alter the configuration to simulate a conversation with Elon Musk export function createConfig return nickName Elon fullName Elon Musk receiverImgSrc This was generated via MidJourney senderImgSrc senderImg promptPrefix Answer this as if you were Elon Musk n n Step Run the applicationStart a development server by executing the following command in your terminal npm run devNow open your browser and visit http localhost to interact with your chatbot character ConclusionThe create svelte chatgpt package serves as a boilerplate for building chatbot applications with Svelte and ChatGPT Now that you have a solid foundation in place you can expand and customise your application to suit your needs The possibilities are endless happy coding	2023-05-05 07:49:35
海外TECH	DEV Community	Apache Flink episode 1: A comprehensive introduction	https://dev.to/mage_ai/apache-flink-episode-1-a-comprehensive-introduction-22a8	Apache Flink episode A comprehensive introduction TLDRApache Flink is a powerful open source stream processing framework for big data offering real time and batch processing capabilities With its flexibility and scalability Flink is ideal for use cases like fraud detection log analysis IoT Internet of Things anomaly detection and machine learning making it a go to solution for organizations needing real time analytics and insights OutlineIntroduction to Apache FlinkThe evolution of Flink and its place in the big data ecosystemKey features and benefits of using FlinkFlink s architecture and componentsReal world use cases and success storiesConclusion Introduction to Apache FlinkApache Flink is an open source distributed stream processing framework designed to handle large scale high throughput and low latency data processing tasks It can process both streaming real time and batch historical data enabling organizations to derive insights from massive data sets in near real time Flink is widely used for various big data applications such as event driven processing machine learning and data analytics At its core Flink provides a robust data processing engine that supports event time processing and windowing allowing for accurate and timely analysis of time based data Source Giphy The evolution of Flink and its place in the big data ecosystemInitially developed as the Stratosphere research project at the Technical University of Berlin Apache Flink was accepted as an Apache Incubator project in and became a top level Apache project in Flink has since evolved rapidly addressing the growing need for real time data processing and emerging as an integral part of the big data ecosystem It s an integral part of the big data ecosystem positioning itself alongside other popular data processing frameworks such as Apache Hadoop Apache Spark and Apache Kafka While Spark focuses on batch processing with added support for streaming Flink is primarily a stream processing framework with added support for batch processing Source Giphy Key features and benefits of using FlinkTrue stream processing Apache Flink s core strength lies in its ability to handle real time data processing with minimal latency Its true stream processing capabilities enable organizations to derive instant insights and make data driven decisions empowering them to stay ahead in today s fast paced competitive landscape Fault tolerance Flink offers robust fault tolerance mechanisms including checkpointing and state management These features provide strong guarantees for exactly once processing ensuring data integrity even in the event of failures This level of reliability is critical for applications where data consistency and accuracy are paramount Scalability Flink s architecture is designed to scale seamlessly handling massive data volumes with ease Capable of processing millions of events per second while maintaining low latency Flink is an ideal choice for organizations looking to manage ever growing data streams without sacrificing performance Flexible APIs Flink provides a diverse set of APIs tailored to different use cases and programming styles such as the DataStream API for streaming data DataSet API for batch processing Table API amp SQL for high level declarative data processing and Stateful Functions for building complex stateful applications This flexibility allows developers to choose the most suitable API for their specific requirements fostering innovation and creativity Extensible and modular One of Flink s most attractive features is its extensibility and modularity The framework can be easily customized and extended to support a wide range of data sources sinks and custom state backends This adaptability enables organizations to seamlessly integrate Flink into their existing data infrastructure unlocking new possibilities for data processing and analytics By offering a potent combination of true stream processing fault tolerance scalability flexible APIs and extensibility Apache Flink has emerged as a compelling choice for organizations seeking to harness the power of big data and unlock valuable insights in real time Source Giphy Flink s architecture and componentsApache Flink s architecture is built upon a set of powerful components that cater to diverse data processing requirements making it an adaptable and flexible solution for various use cases DataStream API The DataStream API is Flink s primary API for processing unbounded streams of data in real time It supports time based windowing event time processing and rich state management features allowing developers to build complex stream processing applications with high accuracy and low latency The API also includes support for advanced features such as watermarks timers and stateful operators enabling users to tackle challenging real time analytics tasks with ease Table API amp SQL The Table API is a high level declarative API for both batch and streaming data processing It offers SQL like syntax making it easy for users familiar with SQL to work with Flink The SQL API a subset of the Table API offers standard ANSI SQL support enabling seamless integration with existing tools and systems With support for advanced features like time based operations user defined functions and windowing the Table API amp SQL simplify the development of complex data processing applications reducing the learning curve for new users Stateful Functions Stateful Functions is an event driven serverless framework built on top of Flink It provides a way to build complex stateful applications using a functional programming model By combining the scalability and fault tolerance of Flink with the simplicity of stateless functions Stateful Functions allows developers to create highly available distributed applications that can process large volumes of events while maintaining consistent state This framework is particularly well suited for microservices architectures IoT applications and other use cases where state management and event driven processing are essential Apache Flink empowers developers and organizations to address a wide range of data processing challenges from real time analytics to large scale batch processing with ease and efficiency Flink s modular and extensible architecture ensures that it remains a versatile and valuable tool in the ever evolving big data landscape Source Giphy Real world use cases and success storiesApache Flink s versatility and low latency processing capabilities make it ideal for various use cases across industries Financial fraud detection Banks and financial institutions like Alibaba use Flink to process massive transaction volumes in real time detecting and preventing fraud effectively Log and event analysis Companies such as Uber utilize Flink to process and analyze billions of events daily enhancing operational efficiency and user experience IoT data processing Flink s low latency processing is ideal for ingesting and analyzing IoT data Bosch uses Flink for predictive maintenance and real time monitoring in connected industry solutions Anomaly detection Flink identifies unusual patterns in time series data useful in network monitoring and cybersecurity Comcast uses Flink for real time anomaly detection and network monitoring Machine Learning Flink s integration with popular machine learning libraries allows users to build large scale real time machine learning applications ING uses Flink for machine learning pipelines to improve customer experience and detect fraud more efficiently These success stories showcase Flink s potential in addressing complex large scale data processing challenges across various industries powering data driven insights and real time analytics ConclusionIn conclusion Apache Flink has emerged as a powerful and flexible stream processing framework in the big data ecosystem Its ability to handle both streaming and batch data along with its rich APIs and fault tolerant architecture make it a popular choice for various data processing applications The numerous real world use cases and success stories demonstrate Flink s potential in addressing complex large scale data processing challenges As the demand for real time analytics and insights continues to grow Apache Flink is well positioned to help organizations make the most of their data In episode of Apache Flink series we ll compare Apache Flink with Apache Spark and find out their differences Link to original blog	2023-05-05 07:14:23
海外TECH	CodeProject Latest Articles	How to Create a Hotel Room Availability Calendar with C#	https://www.codeproject.com/Articles/5360077/How-to-Create-a-Hotel-Room-Availability-Calendar-w	problem	2023-05-05 07:23:00
海外ニュース	Japan Times latest articles	Warriors rout Lakers in Game 2 to even series	https://www.japantimes.co.jp/sports/2023/05/05/basketball/nba/warriors-win-even-series/	clinic	2023-05-05 16:11:01
ニュース	BBC News - Home	Local elections 2023: Conservatives suffer early local election losses	https://www.bbc.co.uk/news/uk-politics-65485099?at_medium=RSS&at_campaign=KARANGA	councils	2023-05-05 07:10:34
ニュース	BBC News - Home	Local elections 2023: Critics say voter ID rule should be scrapped	https://www.bbc.co.uk/news/uk-65492275?at_medium=RSS&at_campaign=KARANGA	campaigners	2023-05-05 07:48:18
ニュース	BBC News - Home	Police Scotland officers ordered to shave off beards	https://www.bbc.co.uk/news/uk-scotland-65482560?at_medium=RSS&at_campaign=KARANGA	beardsthe	2023-05-05 07:46:33
ニュース	BBC News - Home	Kanye West Yeezy loss is hurting us, admits Adidas	https://www.bbc.co.uk/news/business-65492142?at_medium=RSS&at_campaign=KARANGA	kanye	2023-05-05 07:45:07
ニュース	BBC News - Home	Wells Fargo Championship: Tommy Fleetwood leads as Rory McIlroy returns at Quail Hollow	https://www.bbc.co.uk/sport/golf/65485322?at_medium=RSS&at_campaign=KARANGA	Wells Fargo Championship Tommy Fleetwood leads as Rory McIlroy returns at Quail HollowTommy Fleetwood leads the Wells Fargo Championship by one shot after round one as Rory McIlroy makes a solid start on his return to action	2023-05-05 07:22:54
ニュース	BBC News - Home	Tory council leader ousted by 22-year-old Lib Dem	https://www.bbc.co.uk/news/uk-england-berkshire-65487770?at_medium=RSS&at_campaign=KARANGA	maidenhead	2023-05-05 07:52:07
ニュース	BBC News - Home	Coronation timetable: Your complete guide to the day	https://www.bbc.co.uk/news/uk-65342840?at_medium=RSS&at_campaign=KARANGA	coronation	2023-05-05 07:19:46
IT	週刊アスキー	エクセルシオールから初夏に食べたい新作パスタ2種発売！ 柚子胡椒やレモンで爽やかにいただけそう	https://weekly.ascii.jp/elem/000/004/134/4134821/	柚子胡椒	2023-05-05 16:30:00