pg宝石传奇实用技巧大全

Kubernetesisamongthemostpopularopen-sourceplatformsforautomatingthedeployment,scaling,andoperationsofapplicationcontainersacrossclustersofhosts,providingacontainer-centricinfrastructure.Hands-OnMicroserviceswithKubernetesstartsbyprovidingyouwithin-depthinsightsintothesynergybetweenKubernetesandmicroservices.YouwilllearnhowtouseDelinkcious,whichwillserveasalivelabthroughoutthebooktohelpyouunderstandmicroservicesandKubernetesconceptsinthecontextofareal-worldapplication.Next,youwillgetuptospeedwithsettingupaCI/CDpipelineandconfiguringmicroservicesusingKubernetesConfigMaps.Asyoucoverlaterchapters,youwillgainhands-onexperienceinsecuringmicroservices,andimplementingREST,gRPCAPIs,andaDelinkciousdatastore.Inadditiontothis,you’llexploretheNuclioproject,runaserverlesstaskonKubernetes,andmanageandimplementdata-intensivetests.Towardtheconcludingchapters,you’lldeploymicroservicesonKubernetesandlearntomaintainawell-monitoredsystem.Finally,you’lldiscovertheimportanceofservicemeshesandhowtoincorporateIstiointotheDelinkciouscluster.Bytheendofthisbook,you’llhavegainedtheskillsyouneedtoimplementmicroservicesonKuberneteswiththehelpofeffectivetoolsandbestpractices.

·10.5萬字

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PyTorch 1.x Reinforcement Learning Cookbook

Reinforcementlearning(RL)isabranchofmachinelearningthathasgainedpopularityinrecenttimes.ItallowsyoutotrainAImodelsthatlearnfromtheirownactionsandoptimizetheirbehavior.PyTorchhasalsoemergedasthepreferredtoolfortrainingRLmodelsbecauseofitsefficiencyandeaseofuse.Withthisbook,you'llexploretheimportantRLconceptsandtheimplementationofalgorithmsinPyTorch1.x.Therecipesinthebook,alongwithreal-worldexamples,willhelpyoumastervariousRLtechniques,suchasdynamicprogramming,MonteCarlosimulations,temporaldifference,andQ-learning.You'llalsogaininsightsintoindustry-specificapplicationsofthesetechniques.Laterchapterswillguideyouthroughsolvingproblemssuchasthemulti-armedbanditproblemandthecartpoleproblemusingthemulti-armedbanditalgorithmandfunctionapproximation.You'llalsolearnhowtouseDeepQ-NetworkstocompleteAtarigames,alongwithhowtoeffectivelyimplementpolicygradients.Finally,you'lldiscoverhowRLtechniquesareappliedtoBlackjack,Gridworldenvironments,internetadvertising,andtheFlappyBirdgame.Bytheendofthisbook,you'llhavedevelopedtheskillsyouneedtoimplementpopularRLalgorithmsanduseRLtechniquestosolvereal-worldproblems.

·6.6萬字

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Hands-On Data Analysis with NumPy and pandas

Hands-OnDataAnalysiswithNumPyandPandasisforyouifyouareaPythondeveloperandwanttotakeyourfirststepsintotheworldofdataanalysis.Nopreviousexperienceofdataanalysisisrequiredtoenjoythisbook.

·2.2萬字

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Godot Engine Game Development Projects

GodotEngineGameDevelopmentProjectsisforbothnewusersandexperienceddevelopers,whowanttolearntomakegamesusingamoderngameengine.Somepriorprogrammingexperienceisrecommended.

·5.8萬字

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Mastering Kubernetes

ThethirdeditionofMasteringKubernetesisupdatedwiththelatesttoolsandcodeenablingyoutolearnKubernetes1.18’slatestfeatures.ThisbookprimarilyconcentratesondivingdeeplyintocomplexconceptsandKubernetesbestpracticestohelpyoumastertheskillsofdesigninganddeployinglargeclustersonvariouscloudplatforms.ThebooktrainsyoutoruncomplexstatefulmicroservicesonKubernetesincludingadvancedfeaturessuchashorizontalpodautoscaling,rollingupdates,resourcequotas,andpersistentstoragebackend.Withthetwonewchapters,youwillgainexpertiseinserverlesscomputingandutilizingservicemeshes.Asyouproceedthroughthechapters,youwillexploredifferentoptionsfornetworkconfigurationandlearntosetup,operate,andtroubleshootKubernetesnetworkingpluginsthroughreal-worldusecases.Furthermore,youwillunderstandthemechanismsofcustomresourcedevelopmentanditsutilizationinautomationandmaintenanceworkflows.BytheendofthisKubernetesbook,youwillgraduatefromanintermediatetoadvancedKubernetesprofessional.

·13.2萬字

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Building Analytics Teams

InBuildingAnalyticsTeams,JohnK.Thompson,withhis30+yearsofexperienceandexpertise,illustratesthefundamentalconceptsofbuildingandmanagingahigh-performanceanalyticsteam,includingwhattodo,whotohire,projectstoundertake,andwhattoavoidinthejourneyofbuildingananalyticallysoundteam.Thecoreprocessesincreatinganeffectiveanalyticsteamandtheimportanceofthebusinessdecision-makinglifecycleareexploredtohelpachieveinitialandsustainablesuccess.Thebookdemonstratesthevarioustraitsofasuccessfulandhigh-performinganalyticsteamandthendelineatesthepathtoachievethiswithinsightsonthemindset,advancedanalyticsmodels,andpredictionsbasedondataanalytics.Italsoemphasizesthesignificanceofthemacroandmicroprocessesrequiredtoevolveinresponsetorapidlychangingbusinessneeds.Thebookdivesintothemethodsandpracticesofmanaging,developing,andleadingananalyticsteam.Onceyou'vebroughttheteamuptospeed,thebookexplainshowtogovernexecutiveexpectationsandselectwinningprojects.Bytheendofthisbook,youwillhaveacquiredtheknowledgetocreateaneffectivebusinessanalyticsteamanddevelopaproductionenvironmentthatdeliversongoingoperationalimprovementsforyourorganization.

·10.5萬字

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Hands-On Python Natural Language Processing

NaturalLanguageProcessing(NLP)isthesubfieldincomputationallinguisticsthatenablescomputerstounderstand,process,andanalyzetext.Thisbookcaterstotheunmetdemandforhands-ontrainingofNLPconceptsandprovidesexposuretoreal-worldapplicationsalongwithasolidtheoreticalgrounding.ThisbookstartsbyintroducingyoutothefieldofNLPanditsapplications,alongwiththemodernPythonlibrariesthatyou'llusetobuildyourNLP-poweredapps.Withthehelpofpracticalexamples,you’lllearnhowtobuildreasonablysophisticatedNLPapplications,andcovervariousmethodologiesandchallengesindeployingNLPapplicationsintherealworld.You'llcoverkeyNLPtaskssuchastextclassification,semanticembedding,sentimentanalysis,machinetranslation,anddevelopingachatbotusingmachinelearninganddeeplearningtechniques.Thebookwillalsohelpyoudiscoverhowmachinelearningtechniquesplayavitalroleinmakingyourlinguisticappssmart.Everychapterisaccompaniedbyexamplesofreal-worldapplicationstohelpyoubuildimpressiveNLPapplicationsofyourown.BytheendofthisNLPbook,you’llbeabletoworkwithlanguagedata,usemachinelearningtoidentifypatternsintext,andgetacquaintedwiththeadvancementsinNLP.

·6.7萬字

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CentOS 8 Essentials

Linuxkerneldevelopmentisperhapstheworld'slargestcollaborativeprojecttodate.WithCentOS8Essentials,you’llbegiveneasilyaccessibleinformationtoinstall,use,andadministertheCentOS8distribution.ThebookbeginswithaconcisehistoryoftheLinuxoperatingsystemandCentOS.You’llthenlearnhowtoinstallCentOS8usingthedualbootconfigurationsothatitcancoexistwithWindowsonthesamedrive.AfterinstallingCentOS,you’lllearnGNOME3—thedesktopenvironmentincludedwithCentOS8thathelpsyounavigatethroughthedistribution.Asyouprogress,you’llexploretheCockpitwebinterfacethatenablesyoutoperformtasksviaawebbrowserinsteadofusingthecommand-line.You’llthentakeabrieftouroftheBashshellenvironmentandlearnwaystoadministerasystemthatdoesn’thaveadesktoporaCockpitinterface.Whilelearningadvancedconcepts,you’llseehowtomanageswapspaceefficientlyandcontroltheperformanceofCentOS8.Bytheendofthebook,you’llhavealltheessentialinformationyouneedtocomfortablystartusingtheCentOS8distribution.

·6.4萬字

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Practical Site Reliability Engineering

Sitereliabilityengineering(SRE)isbeingtoutedasthemostcompetentparadigminestablishingandensuringnext-generationhigh-qualitysoftwaresolutions.ThisbookstartsbyintroducingyoutotheSREparadigmandcoverstheneedforhighlyreliableITplatformsandinfrastructures.Asyoumakeyourwaythroughthenextsetofchapters,youwilllearntodevelopmicroservicesusingSpringBootandmakeuseofRESTfulframeworks.YouwillalsolearnaboutGitHubfordeployment,containerization,andDockercontainers.PracticalSiteReliabilityEngineeringteachesyoutosetupandsustaincontainerizedcloudenvironments,andalsocoversarchitecturalanddesignpatternsandreliabilityimplementationtechniquessuchasreactiveprogramming,andlanguagessuchasBallerinaandRust.Intheconcludingchapters,youwillgetwell-versedwithservicemeshsolutionssuchasIstioandLinkerd,andunderstandserviceresiliencetestpractices,APIgateways,andedge/fogcomputing.Bytheendofthisbook,youwillhavegainedexperienceonworkingwithSREconceptsandbeabletodeliverhighlyreliableappsandservices.

·8.6萬字

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Julia 1.0 Programming Cookbook

Julia,withitsdynamicnatureandhigh-performance,providescomparativelyminimaltimeforthedevelopmentofcomputationalmodelswitheasy-to-maintaincomputationalcode.Thisbookwillbeyoursolution-basedguideasitwilltakeyouthroughdifferentprogrammingaspectswithJulia.StartingwiththenewfeaturesofJulia1.0,eachrecipeaddressesaspecificproblem,providingasolutionandexplaininghowitworks.YouwillworkwiththepowerfulJuliatoolsanddatastructuresalongwiththemostpopularJuliapackages.Youwilllearntocreatevectors,handlevariables,andworkwithfunctions.Youwillbeintroducedtovariousrecipesfornumericalcomputing,distributedcomputing,andachievinghighperformance.Youwillseehowtooptimizedatascienceprogramswithparallelcomputingandmemoryallocation.Wewilllookintomoreadvancedconceptssuchasmetaprogrammingandfunctionalprogramming.Finally,youwilllearnhowtotackleissueswhileworkingwithdatabasesanddataprocessing,andwilllearnaboutondatascienceproblems,datamodeling,dataanalysis,datamanipulation,parallelprocessing,andcloudcomputingwithJulia.Bytheendofthebook,youwillhaveacquiredtheskillstoworkmoreeffectivelywithyourdata

·9.1萬字

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Apache Ignite Quick Start Guide

ApacheIgniteisadistributedin-memoryplatformdesignedtoscaleandprocesslargevolumeofdata.Itcanbeintegratedwithmicroservicesaswellasmonolithicsystems,andcanbeusedasascalable,highlyavailableandperformantdeploymentplatformformicroservices.ThisbookwillteachyoutouseApacheIgniteforbuildingahigh-performance,scalable,highlyavailablesystemarchitecturewithdataintegrity.ThebooktakesyouthroughthebasicsofApacheIgniteandin-memorytechnologies.YouwilllearnaboutinstallationandclusteringIgnitenodes,cachingtopologies,andvariouscachingstrategies,suchascacheaside,readandwritethrough,andwritebehind.Next,youwilldelveintodetailedaspectsofIgnite’sdatagrid:websessionclusteringandqueryingdata.YouwilllearnhowtoprocesslargevolumesofdatausingcomputegridandIgnite’smap-reduceandexecutorservice.YouwilllearnaboutthememoryarchitectureofApacheIgniteandmonitoringmemoryandcaches.YouwilluseIgniteforcomplexeventprocessing,eventstreaming,andthetime-seriespredictionsofopportunitiesandthreats.Additionally,youwillgothroughoff-heapandon-heapcaching,swapping,andnativeandSpringframeworkintegrationwithApacheIgnite.Bytheendofthisbook,youwillbeconfidentwithallthefeaturesofApacheIgnite2.xthatcanbeusedtobuildahigh-performancesystemarchitecture.

·4.2萬字

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Kubernetes on AWS

Dockercontainerspromisetoradicalizethewaydevelopersandoperationsbuild,deploy,andmanageapplicationsrunningonthecloud.Kubernetesprovidestheorchestrationtoolsyouneedtorealizethatpromiseinproduction.KubernetesonAWSguidesyouindeployingaproduction-readyKubernetesclusterontheAWSplatform.YouwillthendiscoverhowtoutilizethepowerofKubernetes,whichisoneofthefastestgrowingplatformsforproduction-basedcontainerorchestration,tomanageandupdateyourapplications.Kubernetesisbecomingthego-tochoiceforproduction-gradedeploymentsofcloud-nativeapplications.ThisbookcoversKubernetesfromfirstprinciples.YouwillstartbylearningaboutKubernetes'powerfulabstractions-PodsandServices-thatmakemanagingcontainerdeploymentseasy.Thiswillbefollowedbyaguidedtourthroughsettingupaproduction-readyKubernetesclusteronAWS,whilelearningthetechniquesyouneedtosuccessfullydeployandmanageyourownapplications.Bytheendofthebook,youwillhavegainedplentyofhands-onexperiencewithKubernetesonAmazonWebServices.Youwillalsohavepickedupsometipsondeployingandmanagingapplications,keepingyourclusterandapplicationssecure,andensuringthatyourwholesystemisreliableandresilienttofailure.

·6.4萬字

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Web性能權威指南

本書作者是世界頂尖的Web性能工程師，他在書中深入淺出地講解并演示了針對TCP、UDP和TLS協議的性能優化最佳實踐，以及面向無線和移動網絡進行優化時的特殊要求。隨后，他全面剖析了瀏覽器技術的幾項重大革新，包括使用這些新技術時在性能方面需要的獨到考量。革命性的HTTP2.0、XHR客戶端網絡腳本、基于SSE及WebSocket的實時數據流，以及通過WebRTC實現P2P通信，對這些面向未來的重大瀏覽器技術，本書都從性能優化的角度給出了詳盡的解讀和分析。

·16萬字

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從計算機集成制造到智能制造：循序漸進與突變

本書從兩個部分介紹了工業革命的發展歷程和智能制造的具體應用。第一部分介紹了人類歷史發展中先進的制造模式，主要內容包括：生產方式的變遷、先進制造模式的應用對象、先進制造模式的進化、先進制造模式的比較；第二部分介紹新工業革命與智能制造，其中包括新工業革命前夜、工業4.0、工業互聯網、智慧云制造等內容。

·17.2萬字

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Flink原理與實踐

本書圍繞大數據流處理領域，介紹FlinkDataStreamAPI、時間和窗口、狀態和檢查點、TableAPI和SQL等知識。本書以實踐為導向，使用大量真實業務場景案例來演示如何基于Flink進行流處理。本書主要面向對大數據領域感興趣的本科生、研究生，想轉行到大數據開發行業的在職人員，或有一定大數據開發經驗的相關從業人員。讀者最好有一定的Java或Scala編程基礎，掌握計算機領域的常見技術概念。

·14.7萬字

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數據處理與深度學習

本書是一本學術著作，本書的前面幾章是深度學習神經網絡與大數據智能處理的理論方法部分；接下來幾章是深度學習神經網絡與大數據智能處理的應用實踐部分。本書原創性在于提出、研究并給出了十四種深度學習神經網絡與大數據智能處理新理論新方法和新應用。本書適用于高等院校、科研院所及企事業單位的科研及教學用書。

·10.7萬字

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最簡數據挖掘

本書是數據挖掘精髓的濃縮。第1章用通俗易懂的語言回答五個基本問題，包括什么是數據，什么是大數據，什么是數據挖掘，以及數據挖掘能挖掘出哪些東西和會產生什么價值。然后用6章的篇幅，介紹k-均值、k-近鄰、樸素貝葉斯、決策樹、回歸分析和關聯規則挖掘等6種方法。第8章介紹一些實際的應用，演示簡單的數據挖掘方法如何產生巨大的價值。本書可供高校的數據科學與大數據、智能科學與技術、人工智能、計算機科學與技術和統計類、應用數學等相關專業的學生作為教材使用，也可供高校的商科大數據、金融等專業的學生、優秀的中學生、科技企業的管理者和相關行業的投資人學習參考。

·5.9萬字

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AI成“神”之日：人工智能的終極演變

本書頗具科幻味道，對人工智能未來進行了大膽預言。作者從獨特的角度分析了未來人類和人工智能相處的方式與方法，對未來高度發達的人工智能社會的社會模式有獨到的見解。本書是一本站在歷史的高度，從哲學角度拷問科技力量對人類未來演變的書。本書是一本充滿想象與預言，但又不失科學論證的書。本書提供了一個嶄新的視角：21世紀既是數百年以來科技、創意的頂點，又是對人類終極命運真摯的愿景。本書論述嚴謹，案例豐富，深入闡釋了人工智能臨近“奇點”時人類可能面臨的境況，并闡釋了奇點在世界范圍內所產生的廣泛影響，并介紹了人工智能在哲學、科學、技術、藝術等各個方面所展示的獨特魅力以及對人類未來的影響。本書適合對人工智能感興趣的讀者閱讀。

·10.4萬字

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設計中的人因：34個設計小故事

本書收錄了34個人因科學小故事，旨在通過簡單化、生活化的解讀，帶領大家走進設計中的人因。科技已經滲透到我們生活方方面面，而人因多種多樣，人與科技如何互相影響？科技又如何為人類和諧和幸福服務？本書從生活中的人因、即將來臨的老年社會、產品設計與評估、人工智能與機器人四個角度全面解讀科技發展和人因對人們生活的影響。本書旨在幫助讀者從科學的角度理解人類的差異化需求和特征，以及科技發展給產品設計帶來的機遇和挑戰。

·5.2萬字

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AlphaGo如何戰勝人類圍棋大師：智能硬件TensorFlow實踐

本書主要闡述了當前機器智能的熱點技術——深度學習和強化學習技術的原理。在此基礎上，介紹AlphaGo結合深度學習和強化學習技術，如何戰勝人類圍棋大師的原理。接下來，將深度學習的理論轉化為實踐，給出如何通過掌握TensorFlow和Keras深度學習框架，制作聲控智能硬件的例子，同時給出機器視覺的對象檢測案例，指導讀者逐步學習使用深度學習技術。本書的主要特點是實踐操作，用實用可運行的案例來上手。本書可作為實踐入門指導書，適用于對機器智能有興趣的高年級本科生，也適合于對機器智能有興趣的人員參考。