投稿時間:2022-02-21 15:21:18 RSSフィード2022-02-21 15:00 分まとめ(26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	今なら3ヵ月無料！ 聴き放題「Amazon Music Unlimited」がキャンペーン中。3月29日まで	https://japanese.engadget.com/campaign-amazon-music-unlimited-054108280.html	amazonmusicunlimited	2022-02-21 05:41:08
TECH	Engadget Japanese	MetaのVRプラットフォーム、昨年12月から10倍に成長	https://japanese.engadget.com/meta-horizon-worlds-053005900.html	facebook	2022-02-21 05:30:05
TECH	Engadget Japanese	【GREEN FUNDING】先週の支援額ランキング BEST5（2021.2.14-2.20）	https://japanese.engadget.com/greenfunding-ranking-20220214-0220-051715349.html		2022-02-21 05:17:15
TECH	Engadget Japanese	スパイウェアPegasus、誤動作で残した偽画像ファイルから暴き出される	https://japanese.engadget.com/pegasus-spyware-uncovered-fake-image-iphone-050017875.html	iphone	2022-02-21 05:00:17
ROBOT	ロボスタ	服のバーチャル試着体験が可能なアプリ「ALTRM」の実証実験 ZOZOSUITで蓄積した体型計測データを活用	https://robotstart.info/2022/02/21/clothes-vr-trying-altrm.html		2022-02-21 05:51:16
ROBOT	ロボスタ	自宅がいつでもジムになる 次世代型IoTスマートデバイス「MIRROR FIT.」Makuakeで先行販売を開始	https://robotstart.info/2022/02/21/mirror-fit-makuake.html		2022-02-21 05:08:40
IT	ITmedia 総合記事一覧	[ITmedia PC USER] 実売19万円の水冷マザー「Z690 AQUA」が登場！　そして売れる	https://www.itmedia.co.jp/pcuser/articles/2202/21/news109.html	売れ行き	2022-02-21 14:15:00
IT	ITmedia 総合記事一覧	[ITmedia News] 広告やまとめサイトを表示しない「まとも検索」　公的機関や医療機関などに限定してググれる	https://www.itmedia.co.jp/news/articles/2202/21/news117.html	itmedia	2022-02-21 14:06:00
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	日立、IoTデータ活用サービス「HGDI」を拡充、ソラコムの技術を活用してIoT導入構成をレシピ化 | IT Leaders	https://it.impress.co.jp/articles/-/22741	IoTデータの収集・蓄積・可視化を支援する既存サービスを「HGDIEssential」と名称化し、新たにつのサービスを追加した。	2022-02-21 14:46:00
AWS	AWS - Japan	AWS クラウドサポートエンジニア - Deployment Profile チームのご紹介	https://www.youtube.com/watch?v=eQicw7TVmH0	この動画ではDeploymentProfileチームについてご説明します。	2022-02-21 05:02:53
技術ブログ	Developers.IO	การ Shutdown ระบบปฏิบัติการ, Terminate, Stop, Restart ของ EC2	https://dev.classmethod.jp/articles/operating-system-shutdown-terminate-stop-restart-of-ec2/	การShutdown ระบบปฏิบัติการ Terminate Stop Restart ของEC Stop Stop คือการหยุดEC Instance หรือปิดการใช้งานชั่วคราวนอกจากนี้เนื้อหาของหน่วยความจำจะถูกลบออกไปส่วน	2022-02-21 05:07:46
海外TECH	DEV Community	Single or Monolith Serverless Functions - What should you choose?	https://dev.to/techmaharaj/single-or-monolith-serverless-functions-what-should-you-choose-4h5g	Single or Monolith Serverless Functions What should you choose The term Software Engineering first appeared in the s and today we have close to million software developers across the globe With our lives surrounded by apps the need for quality software is growing Afterall better the code better the app Microservices and serverless are helping make applications more scalable and faster along with making their deployments easier However there s one question that most developers have today is whether to use single or monolith serverless functions in their applications In this post I will try to help answer that The BasicsThere are a variety of software design principles that enable developers to write better code One of the popular principles is SOLID It s a mnemonic acronym for Single Responsibility Principle Open Closed Principle Liskov Substitution Principle Interface Segregation Principle and Dependency Inversion Principle Design principles like these are not limited to any specific domain or technology Whether you are writing a low level code that would be etched on a chip or a serverless function that would be running on the cloud The decision of applying any of these principles depend on the developer and the use case however following them will only make the code better and optimized While all of them are equally important that one that is of interest to us in this blog post is the single responsibility principle each function must have only one specific operation that it performsThis infact forms the basis of microservices and serverless With serverless functions becoming mainstream today many developers have a question whether to use single or monolith serverless functions for their application Before we dive into the answer let s understand what we mean by single and monolith serverless functions Single vs Monolith Serverless FunctionsA single serverless function is responsible for only one function in your application For example and for simplicity let us assume that you are developing a calculator In that case you will have four different functions add subtract multiply and divide which would be different serverless functions with individual files So you ll have a main function that would interact with the user the other functions based on the input In case of a monolith serverless function approach there is just one serverless function that has all the sub functions in it There s a logic within the function to call the other sub functions based on the request In this case you ll have a single serverless function with add subtract divide and multiply functions The client facing application will call this function which will return the output after processing Sample applicationTo understand the single and monolith serverless functions we will build a simple Inventory Status Check application developed using Python and Fission functions The application provides the user with a web UI from where the user can enquire about the inventory status of a product The application will return the stock amount If the stock is less than a certain amount it will show a reorder form that will allow the user to place an order for more stock for that product Once placed successfully the app will show a tentative delivery date for the new stock You can refer to the entire code on this application in our Fission GitHub samples repoNote For simplicity the app returns a random number for the stock For placing the order too it returns a random date For real world implementations you can have the function connect to a database and get the current stock for a product You can have another function to actually place an order to a rd party service Single Purpose functionThe single purpose function has different functions for each task It has the following fission functions app py the main function with the UIgetstock py function to return the stock countreorder py function to return the delivery dateThe user launches the application and enters a product code abc or xyz It internally calls getstock fission function that returns the state of current stock If the returned stock is less than the user will see another form or reorder The user will enter the reorder quantity which will be passed to the reorder fission function that will return the estimated delivery date Monolith FunctionThe monolith function as the name suggests consists of a single fission function that has all the functions within The app py in this case has the getstock and reorder functions In terms of the function it functions exactly like the single purpose function and the user doesn t notice any difference So you might ask What s the difference between Single or Monolith Serverless functions Well each of the implementations has its own pros and cons that we will discuss in the next section Pros and Cons of both approaches Single Purpose Serverless FunctionThis is the vanilla amp the purest form of serveless design principles Each function is a separate function with its own file It comes with a suite of pros and cons outlined as below Pros Each function responsible only for one functionEasier debugging and monitoring you know exactly which function caused an errorModifying application is easier as only one function is touchedCons As the application grows maintaining can be tough as the number of functions can be too muchSecurity can be a concern with so many functions as the developer needs to ensure that each function has adequate measures in placeMakes sense if you have a true event driven application Monolith Serverless FunctionYou can have a single fission function with a framework that can take requests and pass it on to other functions within the same file Pros Reduced system complexityFamiliarity of the architecture as true serverless is relatively newers for many devsSimple development and deploymentCons Large codebase tougher to manage in the long runNot scale friendlyComplex upgrades as entire application need to be redeployedHaving gone through the pros and cons of both Single purpose serverless function and monolith serverless functions which ones makes better sense to use Both of them are suited for different setups but if you re looking to create a truly serverless application that s agile and easy to maintain a single purpose function is the way to go They are easy to monitor and debug and also provide better cold start performance ConclusionThe application we ve showcased here shows you how you can actually use fission serverless functions While none of these design patterns are wrong it makes much more sense to use a single purpose serverless function to truly leverage the power of serverless So go ahead and create your own serverless application using Fission and let us know how you went about it Feel free to reach out to me at TheTechMaharaj	2022-02-21 05:14:13
海外TECH	DEV Community	NumPy Basics : Part 2	https://dev.to/wanguiwaweru/numpy-basics-part-2-o5k	NumPy Basics Part This article is a continuation of my previous post on NumPy here NumPy Operations Adding an element to an arrayUse numpy append to add to the end of the array array np append array x arrayOutput array Note A numpy array does not support append method directly Removing an element in the arrayUse numpy delete to remove the element at a particular index array np delete array arrayOutput array Sorting an array array np sort array arrayOutput array Reshaping an arrayUse np reshape The array you intend to output must have the same number of elements For instance if an x array has elements then you can reshape it to x or x or x You can use numpy reshape directly on a numpy array arr np reshape array A arrOutput array Flattening an arrayUse flatten to return a one dimension array arr flatten Output array You can also use ravel to flatten the array array A ravel Output array Note reshape flatten ravel does not affect the original array NumPy Arithmetic OperationsIn this section we will cover specific functions in NumPy used in arithmetic operations Note You can only perform arithmetic operations if the arrays have the same structure and dimensions Add Addition can be done using np add or using the arithmetic operator The output is an ndarray object import numpy as npa np array b np array np add a b Output array c a bprint c print type c Output SubtractSubtraction can be done using np subtract or using the arithmetic operator import numpy as npa np array b np array c a bprint c Output Using np subtract the second argument is subtracted from the first import numpy as npa np array b np array np subtract b a Output array MultiplyMultiplication can be done using np multiply or using the arithmetic operator import numpy as npa np array b np array print np multiply b a print a b Output DivideDivision can be done using np divide or using the arithmetic operator import numpy as npa np array b np array print np divide b a print a b Output Statistical FunctionsYou can get the sum mean average and variance of all the elements in an array import numpy as npa np array print The sum is np sum a print The mean is np mean a print The average is np average a print The variance is np var a Output The sum is The mean is The average is The variance is Power functionThe power function performs the power of two arrays where the first argument is the base raised to the power of the second argument import numpy as npa np array b np array print np power a b Output Remainder and ModulusThe remainder function gives the remainder of the two arrays similar to the mod function import numpy as npa np array b np array print np mod a b print np remainder a b Output ReciprocalThe reciprocal function returns the reciprocal of each element in the array import numpy as npa np array print np reciprocal a Output array Minimum and MaximumYou can get the minimum using min function and maximum using max function array x np array print The max is array x max print The min is array x min Output The max is The min is This is wraps up the summary of some of the most popularly used NumPy operations	2022-02-21 05:11:00
海外TECH	DEV Community	NumPy Basics : Part 1	https://dev.to/wanguiwaweru/numpy-basics-part-1-47e1	NumPy Basics Part This post aims to cover the basics of Numpy Let s do this Table of Contents Introduction Creating Numpy Arrays Attributes Indexing Introduction NumPy refers to Numerical Python which is a Python library used array manipulation To use the NumPy library import it as import numpy as npnp is the conventional alias for numpy The main object of Numpy is the ndarray N dimensional array object which is a powerful and faster that Python lists The ndarray is a multidimensional array of homogeneous data all elements in the array have the same data type Creating a Numpy array Use the ndarray class to create ndarray objects and access their attributes and methods Using the numpy array functionimport numpy as npa np array You can also create an array with zeros only or ones only array filled with zeros creates array with zeros arrZeros np zeros array filled with ones creates array with onesarrOnes np ones You can also create an empty array which can be filled later Create an empty array with elementsarrEmpty np empty You can also create an array using numpy arange output is a range from to the specified number but not including that number arrRange np arange array You can also specify the first number last number and the step size in the range np arange array Attributes Let s use this example to understand ndarray attributes array A np array ndarray ndim The number of dimensions axes of the array The ndim for array A is ndarray dtype The data type of the elements in the array The dtype in our example is int You can specify the dtype when creating an array using the dtype keyword array of ones a np ones dtype np int ndarray shape The number of elements along with each axis The shape is a tuple of N positive integers that specifies the number of elements of each dimension For our example the shape is because the array has two rows and three columns Ps The length of the shape tuple is the number of dimensions ndim ndarray size The total number of elements in the array It is equal to the product of the elements of shape The size of our example array is i e Indexing Indexing in Numpy works similarly to indexing in python lists For a one dimensional array values can be accessed by specifying the desired index in square brackets counting from syntax array x start stop step import numpy as nparray x np array array xOutput array Item at index array x Output Items from index to but not including array x Output array Items from index to the last element array x Output array Items in the array taking a step size of array x Output array In a multi dimensional array values can be accessed using a comma separated tuple of indices the first value specifies the row while the second specifies the column import numpy as nparray A np array array AOutput array A array A Output You can also use indexing to change the value at a given index array A array AOutput array Advantages of using Numpy Arrays Numpy data structures take up less memory Numpy arrays are faster than lists NumPy arrays have homogeneous data types and allow for mathematical manipulation	2022-02-21 05:08:34
海外TECH	DEV Community	How to add pdf watermark?	https://dev.to/parker/how-to-add-pdf-watermark-4i10	How to add pdf watermark Add PDF watermark If a user wants to add a PDF watermark to their pdf files then they must download this PDF Champ application The tool is a compatible app and works great on any platform For the users who wants to add a PDF watermark they must follow the below procedure Step Firstly click on the option your choice option whether you want a watermark image or watermark text Step Then browse the location of the watermark image or write the text Step Select the original or rotated option Step Choose the watermark option Step Select the opacity as per your choice Step Then browse the location where you want to save the added watermark pdf file Step Finally click on the Generate pdf optionAnd thus users are able to add PDF watermark Report	2022-02-21 05:04:37
海外TECH	DEV Community	Can I Develop Web Apps Using Flutter	https://dev.to/darshilwebclues/can-i-develop-web-apps-using-flutter-37ma	Can I Develop Web Apps Using FlutterYes Flutter is a mobile app SDK that enables developers to build high quality mobile apps on Android and iOS platforms But it also includes built in support for rendering web views so you can use Flutter to create web apps that look and feel like native apps As flutter can be used to develop web apps it is important to understand whether it s actually feasible Flutter has a number of advantages over traditional web development frameworks For starters it uses a compile time code generation strategy which means that your app s user interface will be rebuilt every time you make a change Also Flutter offers powerful animation capabilities that let you create smooth fluid animations with very little effort from the developer You can hire Dedicated Flutter developers from WebClues Infotech Hire Flutter developers to develop intuitive visually appealing user friendly and scalable mobile applications Our Flutter programmers have in depth knowledge of Flutter SQLite and extensive experience of working with SOLID principles amp Restful API Access dedicated Flutter app developers who have a strong understanding of Flutter s layered architecture to build advanced Flutter apps Contact now	2022-02-21 05:02:20
ニュース	ジェトロ ビジネスニュース（通商弘報）	新型コロナ感染対策措置の大幅緩和を決定	https://www.jetro.go.jp/biznews/2022/02/12421ea20cb86b2e.html	感染対策	2022-02-21 05:30:00
ニュース	ジェトロ ビジネスニュース（通商弘報）	英国のCPTPP加入手続き進展、国際通商相は日本などアジア訪問へ	https://www.jetro.go.jp/biznews/2022/02/171259bc92dcfe8d.html	cptpp	2022-02-21 05:20:00
海外ニュース	Japan Times latest articles	Heavy snow batters northern Japan, disrupting rail and air traffic	https://www.japantimes.co.jp/news/2022/02/21/national/snow-transport-northern-japan/	hokkaido	2022-02-21 14:26:45
ニュース	BBC News - Home	Vegetables alone not enough to reduce heart risk, study finds	https://www.bbc.co.uk/news/health-60429955?at_medium=RSS&at_campaign=KARANGA	suggests	2022-02-21 05:11:21
ニュース	BBC News - Home	Storm Franklin: Flooding and evacuations as storm nears UK	https://www.bbc.co.uk/news/uk-60452334?at_medium=RSS&at_campaign=KARANGA	heavy	2022-02-21 05:32:12
仮想通貨	BITPRESS（ビットプレス）	[Bloomberg] 「暗号資産の冬」再来でも業界は歓迎－イーサリアム創設者ブテリン氏	https://bitpress.jp/count2/3_9_13078	bloomberg	2022-02-21 14:49:31
IT	週刊アスキー	たっぷり苺×ホワイトチョコの春色アップルパイ！ グラニースミス、季節限定「ホワイトストロベリー アップルパイ」3月14日まで	https://weekly.ascii.jp/elem/000/004/084/4084070/	限定	2022-02-21 14:50:00
IT	週刊アスキー	日本一ソフトウェアの「大告知」特集！公式生放送「ゆるっと日本一」第69回は2月24日19時から	https://weekly.ascii.jp/elem/000/004/084/4084080/	日本一ソフトウェア	2022-02-21 14:40:00
マーケティング	AdverTimes	知らぬ間にブランド毀損　フィッシング急増、21年は52万件	https://www.advertimes.com/20220221/article377414/	無視	2022-02-21 05:37:57
ニュース	THE BRIDGE	【連載】メタバース・ビジネス / 1,000万人を動員する「もうひとつの世界」	https://thebridge.jp/2022/02/metaverse-business-another-world-attracting-10-million-people-gb-universe	【連載】メタバース・ビジネス万人を動員する「もうひとつの世界」本稿は独立系ベンチャーキャピタル、グローバル・ブレインが運営するサイト「GBUniverse」に掲載された記事からの転載ここ数カ月、テクノロジー界隈でにわかに話題になったキーワードのひとつ、それがメタバースだ。	2022-02-21 05:00:43