投稿時間:2022-09-01 04:16:46 RSSフィード2022-09-01 04:00 分まとめ(25件)

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AWS	AWS DevOps Blog	Amazon DevOps Guru increases Operational Efficiency for 605	https://aws.amazon.com/blogs/devops/amazon-devops-guru-increases-operational-efficiency-for-605/	Amazon DevOps Guru increases Operational Efficiency for is an independent TV measurement firm that offers advertising and content measurement full funnel attribution media planning optimization and analytical solutions all on top of their multi source viewership data set covering over million U S households has built their technology solutions on AWS with dozens of accounts and tens of thousands of resources to …	2022-08-31 18:34:15
python	Pythonタグが付けられた新着投稿 - Qiita	不均衡データに対するアプローチ　〜SMOTE・重み付け・アンダーサンプリングバギングの比較〜	https://qiita.com/orange_analyst/items/c72cfe0e0d49f993ec9f	smote	2022-09-01 03:07:23
海外TECH	MakeUseOf	The 4 Best Blogging Platforms for Your Raspberry Pi	https://www.makeuseof.com/best-blogging-platforms-for-raspberry-pi/	raspberry	2022-08-31 18:45:13
海外TECH	MakeUseOf	How to Generate and Analyze an Energy Report in Windows	https://www.makeuseof.com/windows-energy-report/	windows	2022-08-31 18:16:13
海外TECH	DEV Community	Simplified O.O.P : Abstraction in Python	https://dev.to/titusnjuguna/simplified-oop-abstraction-in-python-16ci	Simplified O O P Abstraction in Python IntroductionIn previous post Simplified Object oriented Programming Python I promised to get into details on abstraction The assumption for this post is you are proficient with python If you are starting start hereIn this article we are going to dive deep on Abstraction in Python Below is an overview of this post Definition and importance of AbstractionApplication of abstractionAbstract Classes and Methods Summary Definition of abstractionBefore getting into technical definition of abstraction let s first define it with simpler and relatable example consider your T V remote the button which is used to increase the volume You can use the button but you cannot see how operations are carried out This is a perfect example of abstraction Now what is Abstraction in technical term In Python data abstraction can be defined as hiding all the irrelevant data process of an application in order to reduce complexity and increase the efficiency of the program Application of AbstractionData abstraction has been wholly been implemented in Django framework Assumption you have basic experience with django When creating a model take an example of Student model from django import modelsclass student models Model first name models CharField max length blank True null True last name models CharField max length blank True null True def str self return self first name self last nameThis is a perfect example of application of abstraction in solving real world problem class model inherited from ensure uniformity in definition of a model As we progress you will see the consequences of not following the set of instruction provided in the data abstracted Abstract Classes and MethodsAbstract Class is a class created as a blueprint of an object that can be inherited to create new objects whereas abstract method is a method that is declared but does not contain implementation An abstract method in a base class identifies the functionality that should be implemented by all its subclasses implementationTo declare an Abstract class we firstly need to import the abc module Let us look at an example from abc import ABCclass payment class ABC abstract methods goes belowNow lets implement a complete abstract class with methodsfrom abc import ABCclass payment class ABC abstract methods abstractmethod def send money self pass abstractmethod def withdraw money self passApart from abstract method an abstract class also can have a method and every time an abstract class is inherited it would be called and run Let s create a working example Section from abc import ABC abstractmethodclass payment class ABC def welcome text self x print f Welcome to x abstract methods abstractmethod def send money self pass abstractmethod def withdraw money self pass Section Create payment service class Terminal pay payment class def init self total tax amount sendcharges commission balance self amount amount self sendcharges sendcharges self commission commission self tax tax self balance balance self total self tax self commission self amount self sendcharges def send money self self balance self balance self total print f Send USD self amount at USD self sendcharges commission charged USD self commission give USD self total Your balance is USD self balance def withdraw money self self balance self balance self total print f USD self amount withdrawn at self sendcharges give self total safariPay Terminal pay total tax sendcharges commission amount safariPay welcome text safariPay safariPay send money Output Welcome to safariPaySend USD at USD commission charged USD give USD Your balance is USD ExplanationIn this example Divided into two sections Section is importing ABC abstractmethod from abc module declaration of Abstract Base Class with a generic method that has an argument X declared and an Abstract methods send money withdraw money In section We create a payment service that inherits from the payment class Abstract Base class The payment class we create a constructor and what follows is definition of the methods withdraw money send money and lastly we instantiate the Terminal class Follow me for more update	2022-08-31 18:45:14
海外TECH	DEV Community	Benchmarking .NET JSON Serializers on AWS Lambda	https://dev.to/lambdasharp/benchmarking-net-json-serializers-on-aws-lambda-279m	Benchmarking NET JSON Serializers on AWS LambdaVirtually all NET code on AWS Lambda has to deal with JSON serialization Historically Newtonsoft Json NET has been the go to library More recently System Text Json was introduced in NET Core Both libraries use reflection to build their serialization logic The newest technique called source generator was introduced in NET and uses a compile time approach that avoids reflection So now we have three approaches to choose from which begs the question Is there a clear winner or is it more nuanced For these benchmarks the code deserializes a fairly bloated JSON data structure taken from the GitHub API documentation and then returns an empty response Newtonsoft Json NETThis library has been around for so long and has been so popular that it broke the download counter when it exceeded billion on nuget org The counter has been fixed since but this impressive milestone remains using System IO using System Threading Tasks using Amazon Lambda Core using Amazon Lambda Serialization Json assembly LambdaSerializer typeof JsonSerializer namespace Benchmark NewtonsoftJson public sealed class Function Methods public async Task lt Stream gt ProcessAsync Root request return Stream Null Minimum Cold Start DurationThe fastest cold start durations use the x architecture and ReadyToRun The fastest uses Tiered Compilation as well The PreJIT option is always slower when enabled but still makes the top cut ArchitectureMemory SizeTieredReadyRunPreJITInitCold UsedTotal Cold Startx MBnoyesnox MBnoyesyesx MByesyesnox MByesyesyesFullsize Image Minimum Execution CostI ll admit I was a bit surprised here I would have expected ARM to be the obvious choice since the execution cost is lower However that was not the case Instead we have a split with x winning ever so slightly Also interesting is that the cheapest execution cost always uses the PreJIT option That makes intuitively sense since this option shifts some cost from the first INVOKE phase to the free INIT phase and only has a small overhead penalty otherwise Similarly Tiered Compilation is disabled for all because it introduces additional overhead during the warm INVOKE phases Most fascinating to me is that ARM is cheaper with MB memory while x is cheaper with MB This is probably just an oddity but it serves to highlight that nothing is ever obvious and why benchmarking the actual code is so important ArchitectureMemory SizeTieredReadyRunPreJITInitCold UsedTotal Warm Used Cost µ armMBnoyesyesarmMBnoyesyesx MBnoyesyesx MBnoyesyesFullsize Image System Text Json ReflectionSystem Text Json was introduced in NET Core The initial release was not feature rich enough to be a compelling choice However that is no longer the case By NET all my concerns were addressed and it has been my preferred choice since Sadly we had to wait until NET which is LTS for it to become supported on AWS Lambda using System IO using System Threading Tasks using Amazon Lambda Core using Amazon Lambda Serialization SystemTextJson assembly LambdaSerializer typeof DefaultLambdaJsonSerializer namespace Benchmark SystemTextJson public sealed class Function Methods public async Task lt Stream gt ProcessAsync Root request return Stream Null Minimum Cold Start DurationSimilar to Json NET the fastest cold start durations use the x architecture Unlike the previous benchmark all of them have Tiered Compilation enabled ReadyToRun provides an ever so slight benefit but not much That s likely due to the fact that the JSON serialization code lives in the NET framework Same as before PreJIT makes things slower but it s still among the fastest configurations ArchitectureMemory SizeTieredReadyRunPreJITInitCold UsedTotal Cold Startx MByesnonox MByesnoyesx MByesyesnox MByesyesyesFullsize Image Minimum Execution CostIdentical to the Json NET benchmark the cheapest execution costs disable Tiered Compilation and enable the PreJIT option Also results are evenly split between ARM and x Again the optimal configuration uses the x architecture with ReadyToRun enabled However this time all optimal configurations agree on MB for memory ArchitectureMemory SizeTieredReadyRunPreJITInitCold UsedTotal Warm Used Cost µ armMBnonoyesarmMBnoyesyesx MBnonoyesx MBnoyesyesFullsize Image System Text Json Source GeneratorNew in NET is the ability to generate the JSON serialization code during compilation instead of relying on reflection at runtime Personally as someone who cares a lot about performance I find source generators a really exciting addition to our developer toolbox However I don t consider this iteration to be production ready because it is missing some features I rely on In particular the lack of custom type converters to override the default JSON serialization behavior is a blocker for me That said for some smaller projects it might be viable My biggest recommendation here is to thoroughly validate the output to ensure any behavior changes are caught during development using System Text Json Serialization using Amazon Lambda Core using Amazon Lambda Serialization SystemTextJson using Benchmark SourceGeneratorJson assembly LambdaSerializer typeof SourceGeneratorLambdaJsonSerializer lt FunctionSerializerContext gt namespace Benchmark SourceGeneratorJson JsonSerializable typeof Root public partial class FunctionSerializerContext JsonSerializerContext public sealed class Function Methods public async Task lt Stream gt ProcessAsync Root request return Stream Null Minimum Cold Start DurationThis time the fastest cold starts all use Tiered Compilation and ReadyToRun Since source generators create more code to jit it makes sense that these options improve cold start performance since that s their purpose Also unlike the previous benchmarks ARM and x are now competing for the top spot PreJIT again slows things down a bit but still makes it into the top Despite ARM finally making an appearance in the Minimum Cold Start Duration benchmark the x architecture still secures the top two spots ArchitectureMemory SizeTieredReadyRunPreJITInitCold UsedTotal Cold StartarmMByesyesnoarmMByesyesyesx MByesyesnox MByesyesyesFullsize Image Minimum Execution CostThe results for this benchmark are a bit more complicated to parse For the first time we don t have a symmetry across options Instead ARM secures the out of cheapest spots The same is true for the PreJIT option and the MB memory configuration Similar to the Json NET benchmark the cheapest configurations use ReadyToRun and as for all execution cost benchmarks Tiered Compilation is disabled ArchitectureMemory SizeTieredReadyRunPreJITInitCold UsedTotal Warm Used Cost µ armMBnoyesnoarmMBnoyesyesarmMBnoyesyesx MBnoyesyesFullsize Image SummaryHere are our observed lower bounds for the JSON serialization libraries as well as the baseline performance on NET for comparison I ve omitted NET Core since I don t consider a viable target runtime anymore However you can explore the result set in the interactive Google spreadsheet Baseline for NET Cold start duration msExecution cost µ Newtonsoft Json NETCold start duration msExecution cost µ System Text Json ReflectionCold start duration msExecution cost µ System Text Json Source GeneratorCold start duration msExecution cost µ It shouldn t be a surprise that Json NET which has been around for a long time has accumulated a lot of cruft Json NET is truly a Swiss army knife for serialization and this flexibility comes at a cost It adds at least ms to our cold start duration and it s also the most expensive JSON library to run The newer System Text Json library has a compelling performance and value benefit over Json NET It only adds ms to our cold start duration and is cheaper to run compared to Json NET However the clear winner is the new JSON source generator with only ms in cold start overhead compared to our baseline Cost is also lower than Json NET That said the lack of features may not make it a good choice just yet When it comes to minimizing cold start duration the more memory the better These benchmarks used MB which unlocks most of the available vCPU performance but not all of it Full vCPU performance is achieved at MB which almost doubles the cost for a improvement source For minimizing cost MB seems to be the preferred choice Tiered Compilation should never be used but ReadyToRun is beneficial The weird thing about this configuration is that ReadyToRun produces Tier code i e dirty JIT without inlining hoisting or any of that delicious performance stuff With Tiered Compilation disabled our code will never be optimized further as far as I know What s NextFor the next post I m going to investigate the overhead introduced by the AWS SDK Since most Lambda functions will use it I thought it would be useful to understand what the initialization cost is	2022-08-31 18:31:02
Apple	AppleInsider - Frontpage News	Otterbox launches Premium Pro line of charging accessories	https://appleinsider.com/articles/22/08/31/otterbox-launches-premium-pro-line-of-charging-accessories?utm_medium=rss	Otterbox launches Premium Pro line of charging accessoriesOtterbox has launched a line of new charging accessories collectively known as Premium Pro Power for homes and offices to power the iPhone and other devices Otterbox USB C Wall Charger WThese wall and car chargers come in W W and W configurations The W and W devices are powerful enough to charge Apple s larger laptops while the W chargers can charge an iPad Air Read more	2022-08-31 18:36:43
海外TECH	Engadget	You can finally watch Showtime in the Paramount+ app	https://www.engadget.com/paramount-plus-showtime-streaming-app-integration-185532381.html?src=rss	You can finally watch Showtime in the Paramount appThe marriage of Paramount and Showtime s streaming offerings is finally complete Starting today you ll be able to access all of Showtime s content from within the Paramount app Variety reports That integration has been in the works since February and it should make life easier for fans of Star Trek who may also want to catch up on Showtime s Yellowjackets Previously Paramount offered both services for a limited time bundle price but users had to access the apps separately To sweeten the deal Paramount is offering another bundled discount through October nd a month for the quot Essential Plan quot which includes ad supported Paramount and ad free Showtime and for the completely ad free quot Premium Plan quot After that they ll cost and a month respectively The Essential plan doesn t include access to your local CBS stationーfor that you ll have to go premium On its own Paramount currently costs a month a year for the limited plan or a month a year for the premium offering If you ve stuck with the service to get your Star Trek fix it s not a huge leap to spend a few more bucks to get Showtime at the discounted rate And no matter how you look at it the bundled plans are also a better deal than spending a month for Showtime alone While it s all a bit confusing at the moment consolidating its streaming services makes sense for Paramount It has to compete with the combined forces of HBO Max and Discovery which will unify their platforms next year as well as Netflix s upcoming ad supported tier Both Paramount and Showtime have dedicated fanbases but for many consumers they re also the sort of services that may get cancelled when their favorite shows aren t airing new episodes Together though they may have just enough content to keep subscribers around	2022-08-31 18:55:32
海外TECH	Engadget	Snap confirms it's laying off around 1,300 employees	https://www.engadget.com/snap-layoffs-confirmed-hardware-games-mini-apps-182149943.html?src=rss	Snap confirms it x s laying off around employeesSnap has confirmed reports that it will lay off around percent of its employees ーapproximately people ーto reduce costs The company has also canceled most original Snapchat shows save for the long running politics and news series Good Luck America and shelved other projects For one thing Snap said it s putting games and mini apps into maintenance mode It will also sunset the standalone Zenly and Voisey apps to focus on Snapchat s Snap Map and Sounds features On the hardware front Snap is quot narrowing our investment scope in Spectacles to focus on highly differentiated long term research and development efforts quot In addition the company has halted further development of its Pixy selfie drone only a few months after it started selling the device Snap said in a note to investors that the layoffs project cancellations and other restructuring will save the company approximately million in the annualized cash cost structure relative to the April June quarter for which Snap posted lackluster earnings results The figure includes a million reduction in content costs The restructuring costs will be around million to million Approximately million to million of that will likely be incurred in adjusted operating expenses mostly in the current quarter quot Unfortunately given our current lower rate of revenue growth it has become clear that we must reduce our cost structure to avoid incurring significant ongoing losses quot Snap CEO Evan Spiegel wrote in a letter to staff quot While we have built substantial capital reserves and have made extensive efforts to avoid reductions in the size of our team by reducing spend in other areas we must now face the consequences of our lower revenue growth and adapt to the market environment quot Speigel noted that the company is restructuring around three pillars community growth revenue growth and augmented reality quot Projects that don t directly contribute to these areas will be discontinued or receive substantially reduced investment quot he added nbsp Snap has been feeling the brunt of a broader economic slow down Its share price has slumped by percent this year though it rebounded slightly following news of the layoffs and restructuring So far in the company s year over year revenue growth is eight percent which Speigel said is quot well below what we were expecting earlier this year quot However the Snapchat subscription service is off to a positive start with more than a million users signing up within the first month or so Meanwhile company s leadership team has a fresh look This week its two top advertising executives departed for Netflix which will soon start offering an ad supported tier Snap has promoted its former senior vice president of engineering Jerry Hunter to the position of chief operating officer It will also bring in Ronan Harris Google s UK and Ireland vice president and managing director as president of its Europe Middle East and Africa division	2022-08-31 18:21:49
海外TECH	CodeProject Latest Articles	Adding a new module to CodeProject.AI Server	https://www.codeproject.com/Articles/5332075/Adding-a-new-module-to-CodeProject-AI-Server	server	2022-08-31 18:24:00
海外科学	NYT > Science	US Life Expectancy Falls Again in ‘Historic’ Setback	https://www.nytimes.com/2022/08/31/health/life-expectancy-covid-pandemic.html	alaska	2022-08-31 18:22:46
海外TECH	WIRED	Is the Psychedelic Therapy Bubble About to Burst?	https://www.wired.com/story/psychedelic-hype-bubble/	scientists	2022-08-31 18:56:07
ニュース	BBC News - Home	Child assaults: ‘If the police won’t do their job, we’ll do it for them’	https://www.bbc.co.uk/news/uk-62722082?at_medium=RSS&at_campaign=KARANGA	child	2022-08-31 18:30:16
ニュース	BBC News - Home	Train strikes: More drivers set to walk out on 15 September	https://www.bbc.co.uk/news/business-62735147?at_medium=RSS&at_campaign=KARANGA	septemberthousands	2022-08-31 18:26:34
ニュース	BBC News - Home	The Hundred: Paul Walter dismisses Rilee Rossouw with 'absolutely amazing' catch	https://www.bbc.co.uk/sport/av/cricket/62745424?at_medium=RSS&at_campaign=KARANGA	The Hundred Paul Walter dismisses Rilee Rossouw with x absolutely amazing x catchWatch Manchester Originals Paul Walter dismiss Oval Invincibles Rilee Rossouw with an absolutely amazing catch during their Hundred match at Old Trafford	2022-08-31 18:11:04
ビジネス	ダイヤモンド・オンライン - 新着記事	米国株が動揺を隠しきれなかった訳 - WSJ PickUp	https://diamond.jp/articles/-/308928	jolts	2022-09-01 03:50:00
ビジネス	ダイヤモンド・オンライン - 新着記事	インフレ「ピークアウト後」に、株式市場が“勝ち組企業”を選別する基準 - マーケットフォーカス	https://diamond.jp/articles/-/308927	株式市場	2022-09-01 03:45:00
ビジネス	ダイヤモンド・オンライン - 新着記事	自宅用コロナ検査で異なる結果、その理由は - WSJ PickUp	https://diamond.jp/articles/-/308929	wsjpickup	2022-09-01 03:40:00
ビジネス	ダイヤモンド・オンライン - 新着記事	純資産2億円超の米退職者、その暮らしぶりは - WSJ PickUp	https://diamond.jp/articles/-/308930	wsjpickup	2022-09-01 03:35:00
ビジネス	ダイヤモンド・オンライン - 新着記事	「刊行から15年経っても大人気」 ベストセラー書が教える問題解決で一番大事なこと - 定番読書	https://diamond.jp/articles/-/308008	「刊行から年経っても大人気」ベストセラー書が教える問題解決で一番大事なこと定番読書情報過多の時代、普遍的メッセージが紡がれた「定番書」の価値が増している。	2022-09-01 03:30:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【ひろゆきが語る】頭のいい人が定時に帰ることができる10の理由 - 99％はバイアス	https://diamond.jp/articles/-/308439	記事	2022-09-01 03:25:00
ビジネス	ダイヤモンド・オンライン - 新着記事	知らぬ間に人間関係がどんどん悪化していく、「放っておくとヤバい」バイアス - 遅考術	https://diamond.jp/articles/-/308830	人間関係	2022-09-01 03:20:00
ビジネス	ダイヤモンド・オンライン - 新着記事	精神科医が断言！ すぐさま付き合うのをやめたほうがいい人 - 精神科医Tomyが教える 心の荷物の手放し方	https://diamond.jp/articles/-/308670	精神科医が断言すぐさま付き合うのをやめたほうがいい人精神科医Tomyが教える心の荷物の手放し方不安や悩みが尽きない。	2022-09-01 03:15:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【メモの取り方でわかる】「考えている人」と「思考停止している人」の決定的な違い - 考える人のメモの技術	https://diamond.jp/articles/-/308703	思考停止	2022-09-01 03:10:00
ビジネス	ダイヤモンド・オンライン - 新着記事	iDeCoは50歳台はあきらめたほうがいい？人生100年時代の資産運用法とは？ - 一番売れてる月刊マネー誌ザイが作った 投資信託のワナ50＆真実50	https://diamond.jp/articles/-/308507	ideco	2022-09-01 03:05:00