投稿時間:2022-09-25 12:19:44 RSSフィード2022-09-25 12:00 分まとめ(23件)

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IT	気になる、記になる…	Amazon、読み放題サービス｢Kindle Unlimited｣が2ヶ月99円で利用出来るキャンペーンを開催中（表示されたユーザーのみ対象）	https://taisy0.com/2022/09/25/162649.html	kindleunlim	2022-09-25 02:42:59
IT	気になる、記になる…	Apple、米国でM2チップ搭載｢MacBook Pro 13インチ｣の整備済み品を販売開始	https://taisy0.com/2022/09/25/162646.html	apple	2022-09-25 02:07:51
Docker	dockerタグが付けられた新着投稿 - Qiita	macOSでHSPを実行してみる	https://qiita.com/kijuky/items/a84568a30ebbf053e05b	androidiosjavasc	2022-09-25 11:06:41
海外TECH	DEV Community	Managing File System Permissions	https://dev.to/alfiantirta85/managing-file-system-permissions-egf	Managing File System Permissions User CategoriesFiles has three categories of users for which permissions apply The user who created the fileA user who is in the same grub as the userAll other users Permission CategoriesFile directory have three categories of applicable permissions read write and execute r read gt file can be readw write gt file can be editedx execute gt file can be run as command View Permissions And OwnershipTo see the permissions and ownership of files and directories can use command ls l or ls ldOption l gt view list with long list format Option d gt view the directory listing itself File permission consist of nine characters after the character d directory Permission for the user is determined by the first set of charactersPermission for user groups are determined by the second set of charactersPermission for all other users are determined by the third set of charactersIf the letters are replaced with then the category doesn t have that permission Change PermissionTo change permission from the command line can use command chmodPermission instructions can be issued by symbolic methods and numerical methods Symbolic Methodchmod WhoWhatWhich file directoryWho is u user g group o other a all What is add remove set exactly Which is r read w write x execute option R to change the permissions of the directory and its contents Numeric Methodchmod file directoryEach digit represents a permission for the access level user group other Each digit is the sum of the numbers representing the permissions read permission is represented by the number write permission is represented by the number execute permission is represented by the number Change User And Group OwnershipTo change the ownership of users and groups can use command chownonly root user can change file ownershipTo change only the user use the command chown usernew fileTo change only the group use the command chown groupnew fileTo change everything use the command chown usernew groupnew fileWe can use sudo privilege to use chown command Option R to change the ownership of the directory and its contents Special PermissionSpecial permission is the fourth type of permission besides basic user grub and other types These permissions have additional access features that are allowed by the basic permission types Setuid Permissionon files containing this permission executable however the command that is executed becomes the user who owns the file not as the user that executes the command to add this permission can use command chmod u s file or chmod file Setgid Permissionfiles created in a directory containing these permissions inherit ownership of grub rather than inheriting from the user who created it this file is executable however the command that is executed becomes the grub that owns the file not as the grub that runs the command to add this permission can use command chmod g s file or chmod file Sticky Permissionon directories that contain this permission file deletion is subject to special restrictions only file owner and root user can delete files in directoryto add this permission can use command chmod o t file or chmod file Default File PermissionWhen you create a new file directory it is given initial permission called umask If you create a new directory the operating system will grant octal permission If you create a new file the operating system will give permission octal Octal permission will be reduced by the umask set usually To see the umask that has been set you can use the command umaskTo replace it you can use the command umask	2022-09-25 02:22:36
海外TECH	DEV Community	Rails guide - Adding CI - Part 5	https://dev.to/augusto_queirantes/rails-guide-adding-ci-part-5-3dc4	Rails guide Adding CI Part Hey guys How are you This article is a part of a series that will teach how to create a production ready rails application Today we re gonna talk about CI Table of contentWhat is CIToolingAction creation What is CICI ou integração contínua éuma metodologia que visa automatizar o processo de execução de testes e linting para cada alteração de código feita garantindo assim mais qualidade e segurança no processoCI or continuous integration is a methodology that automates linting and tests execution after each pull request ensuring quality and security in the process ToolingThe tool we ll use to solve this problem is Github actions This tool allow us to automate the tests and linting execution after any commit on a pull request Action creationTo create the github action we gonna work on github workflows path all files related to a action goes here First thing to do is create a file called linter yml with the following content name Linteron pushjobs linting runs on ubuntu latest steps uses actions checkout v uses actions setup ruby v name Install dependencies run bundle install name Run linter run rubocopThis file will create a action called Linter that have on job called linting this job will be executed in a ubuntu doker image that will perform the following steps Pull the most recent codeInstall ruby on the imageInstall system dependenciesInstall gemsExecute linterNow that linter is configured we gonna create a file called tests yml to configure tests action here the file content name Testson pushjobs specs runs on ubuntu latest services postgres image postgres env POSTGRES USER user POSTGRES PASSWORD options gt health cmd pg isready health interval s health timeout s health retries ports steps uses actions checkout v uses actions setup ruby v with bundler cache true name Install dependencies run sudo apt get install libpq dev name Install dependencies run sudo apt get yqq install libpq dev gem install bundler bundle install jobs retry name Database setup run bundle exec rake db create bundle exec rake db migrate env RAILS ENV test POSTGRES USER user POSTGRES PASSWORD name Run specs run bundle exec rspecThis file will create a job called Tests that will create a job called specs this job will be executed using a ubuntu docker image as base and perform the following steps Setup postgres databasePull the most recent codeSetup rubyInstall dependenciesCreate databaseRun specsIf everything is ok you should look something like this whey you open a pull request on github You can see all code changes here	2022-09-25 02:15:50
海外TECH	DEV Community	Introduction to AI & ML	https://dev.to/renhiyama/introduction-to-ai-ml-1jdb	Introduction to AI amp MLSo you want to learn about AI and Machine Learning You ve come to the right place This is a beginner s guide to AI and Machine Learning Let s get started right away What is AI AI stands for Artificial Intelligence It is the intelligence of machines and computer programs AI is a very broad field and there are many different sub fields In this article we will focus on Machine Learning which is a sub field of AI What is Machine Learning Machine Learning is a sub field of AI that focuses on building programs that can learn from data These programs are called Machine Learning models A Machine Learning model is trained on a dataset and then it can make predictions on new data What is a dataset A dataset is a collection of data It is used to train Machine Learning models There are many different kinds of datasets In this article we will focus on tabular datasets which are datasets that are organized into rows and columns Here is an example of a dataset What is a Machine Learning model A machine learning model is an expression of an algorithm that combs through mountains of data to find patterns or make predictions Fueled by data machine learning ML models are the mathematical engines of artificial intelligence For example an ML model for computer vision might be able to identify cars and pedestrians in a real time video One for natural language processing might translate words and sentences Under the hood a machine learning model is a mathematical representation of objects and their relationships to each other The objects can be anything from “likes on a social networking post to molecules in a lab experiment What are some of the most popular Machine Learning models There are many different kinds of Machine Learning models Here are some of the most popular ones Decision TreesRandom ForestsGradient Boosting MachinesSupport Vector MachinesNeural Networks How do Machine Learning models work Machine Learning models are trained on data This data is usually organized into rows and columns Each row is an example and each column is a feature Here is an example of a dataset PassengerIdSurvivedPclassThe first column is the PassengerId This is a unique identifier for each passenger The second column is the Survived column This is the target variable It tells us whether or not the passenger survived The third column is the Pclass column This is a feature It tells us the class of the passenger s ticket The goal of a Machine Learning model is to learn the relationship between the features and the target variable This is called training the model Once the model has learned the relationship between the features and the target variable it can make predictions on new data This is called inference Types of Machine LearningThere are many different types of Machine Learning Here are some of the most popular ones Supervised Learning Supervised learning is the most common type of Machine Learning In supervised learning the data you train your model on includes the target variable This means that you tell the model what the correct answer is The model then learns the relationship between the features and the target variable Once the model has learned this relationship it can make predictions on new data Unsupervised Learning Unsupervised learning is used when the data you train your model on does not include the target variable This means that you do not tell the model what the correct answer is Instead the model must figure out the relationship between the features on its own This is a very difficult task and it is not very common Most Machine Learning problems are supervised learning problems Reinforcement Learning Reinforcement learning is a type of Machine Learning where the model is trained using trial and error The model makes a guess and then it receives a reward or a penalty based on how good its guess was This process is repeated many times Eventually the model learns the relationship between the features and the target variable Amazing Projects that uses AI amp MLBelow is a list that I think are quite good in what they have achieved Github Copilot GitHub Copilot uses the OpenAI Codex to suggest code and entire functions in real time right from your editor Dall E DALL·E is a new AI system that can create realistic images and art from a description in natural language Nvidia Simulating Human Movements over years Every new midrange to flagship Phone now a days in the field of adding layers of virtual makeup Photography Face Unlock and AR and heck even game enemies TensorFlow A framework every developer has heard of used if they are studying and progressing in the field of AI amp ML And a lot more others This Blog was a basic introduction to AI amp ML and the most fun fact is that I recently took interest in this field and I have been studying on this for more than a month now Feel free to post any doubts suggestions fixes or anything else in the comment section Found any mistake Comment it down too Want more articles from me Let me know Join my Discord Server at Star the current project I am working on Have a nice day Developer	2022-09-25 02:07:17
海外ニュース	Japan Times latest articles	North Korea launches missile ahead of U.S. vice president’s visit to region	https://www.japantimes.co.jp/news/2022/09/25/asia-pacific/japan-north-korea-missile-kamala-harris/	North Korea launches missile ahead of U S vice president s visit to regionJapan s defense chief said that the apparent ballistic missile may have flown on an irregular trajectory and was believed to have landed outside the country s	2022-09-25 11:52:48
海外ニュース	Japan Times latest articles	Joe Biden’s climate bill has the U.S. battery industry revved up	https://www.japantimes.co.jp/news/2022/09/25/business/us-battery-industry-boost/	credits	2022-09-25 11:52:33
海外ニュース	Japan Times latest articles	Russia’s top envoy accuses Washington of ‘playing with fire’ around Taiwan	https://www.japantimes.co.jp/news/2022/09/25/world/lavrov-warn-us-taiwan/	nancy	2022-09-25 11:33:33
海外ニュース	Japan Times latest articles	Iran protesters return to streets, defying deadly crackdown	https://www.japantimes.co.jp/news/2022/09/25/world/iran-protests-resume/	Iran protesters return to streets defying deadly crackdownThe protests entered their ninth night after the death of a woman in morality police custody despite a crackdown by security forces in which at	2022-09-25 11:12:30
ニュース	BBC News - Home	North Korea fires suspected ballistic missile into sea	https://www.bbc.co.uk/news/world-asia-63023889?at_medium=RSS&at_campaign=KARANGA	president	2022-09-25 02:33:01
ニュース	BBC News - Home	Did misinformation fan the flames in Leicester?	https://www.bbc.co.uk/news/blogs-trending-63009009?at_medium=RSS&at_campaign=KARANGA	leicester	2022-09-25 02:39:47
サブカルネタ	ラーブロ	船堀「とんぼ亭」玉子入りちゃんぽん	http://ra-blog.net/modules/rssc/single_feed.php?fid=203050	東京都江戸川区	2022-09-25 03:30:22
北海道	北海道新聞	エジプト、３６年五輪招致へ　成功ならアフリカ初	https://www.hokkaido-np.co.jp/article/735845/	五輪招致	2022-09-25 11:29:00
北海道	北海道新聞	＜市場発！＞安値のカボチャ、単価ＵＰの秘策は貯蔵　狙いは師走の需要増	https://www.hokkaido-np.co.jp/article/734871/	北海道産	2022-09-25 11:26:58
北海道	北海道新聞	マツダ、ロシア生産終了協議　侵攻長期化、操業見通せず	https://www.hokkaido-np.co.jp/article/735844/	現地生産	2022-09-25 11:25:00
北海道	北海道新聞	上皇さま、右目の白内障手術　東大病院、緑内障も	https://www.hokkaido-np.co.jp/article/735839/	東大病院	2022-09-25 11:02:27
北海道	北海道新聞	米、北朝鮮ミサイル発射を非難　「違法な兵器開発計画」	https://www.hokkaido-np.co.jp/article/735843/	太平洋軍	2022-09-25 11:17:00
北海道	北海道新聞	「墓場への動員」拒否を　ロシア国民にウクライナ大統領	https://www.hokkaido-np.co.jp/article/735823/	拒否	2022-09-25 11:02:26
北海道	北海道新聞	若者起業、札幌で支援の輪　賃料減額や無料開放　市の補助金は利用増	https://www.hokkaido-np.co.jp/article/735666/	新興企業	2022-09-25 11:14:32
北海道	北海道新聞	室蘭沖に洋上風力　経済界、市に誘致要請　漁業者、生態系の影響懸念	https://www.hokkaido-np.co.jp/article/735841/	洋上風力発電	2022-09-25 11:06:00
北海道	北海道新聞	国葬で分断「首相に責任」　立民・岡田幹事長	https://www.hokkaido-np.co.jp/article/735840/	安倍晋三	2022-09-25 11:05:00
海外TECH	reddit	Post Game Chat 9/24 Mariners @ Royals	https://www.reddit.com/r/Mariners/comments/xnbb8m/post_game_chat_924_mariners_royals/	Post Game Chat Mariners RoyalsPlease use this thread to discuss anything related to today s game You may post anything as long as it falls within stated posting guidelines You may also post gifs and memes as long as it is related to the game Please keep the discussion civil Discord Line Score Final R H E SEA KC Box Score KC AB R H RBI BB SO BA SEA AB R H RBI BB SO BA DH Melendez SS Crawford J SS Witt Jr B France C Perez S RF Haniger B Pasquantino B Santana C CF Taylor M B Toro B Eaton B Moore D LF Isbel B Frazier RF Waters LF Haggerty B Lopez N CF Kelenic PH Olivares DH Torrens DH Winker C Casali C Raleigh KC IP H R ER BB SO P S ERA SEA IP H R ER BB SO P S ERA Bubic Gilbert L Garrett A Brash Snider Sewald Hernández C Muñoz A Misiewicz Keller B Cuas Scoring Plays Inning Event Score T Dylan Moore singles on a line drive to left fielder Kyle Isbel Ty France scores Mitch Haniger to nd B Vinnie Pasquantino homers on a fly ball to right center field Salvador Perez scores T J P Crawford singles on a line drive to center fielder Michael A Taylor Jarred Kelenic scores B Drew Waters triples on a sharp line drive to right fielder Mitch Haniger Kyle Isbel scores B Nate Eaton out on a sacrifice fly to right fielder Mitch Haniger Bobby Witt Jr scores T Ty France singles on a line drive to right fielder Drew Waters Curt Casali scores J P Crawford to rd B Bobby Witt Jr singles on a ground ball to left fielder Sam Haggerty Drew Waters scores T Cal Raleigh homers on a fly ball to right field Jesse Winker scores T Cal Raleigh doubles on a sharp fly ball to left fielder Kyle Isbel Jarred Kelenic scores Jesse Winker to rd Highlights Description Length Video Dylan Moore pokes an RBI single in the st inning Video Vinnie Pasquantino skies a two run home run Video Crawford dunks in an RBI single to tie the game at Video Drew Waters ropes an RBI triple to right field Video Nate Eaton lifts a sacrifice fly to right field Video Ty France slices an RBI single to right field Video Witt Jr pushes an RBI single through the left side Video Bubic picks up six strikeouts in start vs Mariners Video Raleigh smokes a game tying pinch hit two run homer Video Sam Haggerty is hit by pitch call is overturned Video Nicky Lopez is honored with Roberto Clemente Award Video J J Picollo joins the Royals broadcast booth Video Logan Gilbert strikes out Michael A Taylor Video Keller induces clutch inning ending double play Video Kelenic throws out Pasquantino at second base Video Cal Raleigh puts the Mariners ahead in the th Video Decisions Winning Pitcher Losing Pitcher Save Sewald Keller B Muñoz A submitted by u Mariners bot to r Mariners link comments	2022-09-25 02:38:39