pg少林足球网址是多少

ThisbookisforexperiencedornovicedeveloperswithabasicknowledgeofGit.IfyoueverwantedtolearnhowbigprojectssuchasTwitter,Google,orevenGitHubcollaborateoncode,thenthisbookisforyou.

·2.5萬字

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Continuous Delivery and DevOps：A Quickstart Guide

Overthepastfewyears,ContinuousDelivery(CD)andDevOpshavebeeninthespotlightintechmedia,atconferences,andinboardroomsalike.ManyarticlesandbookshavebeenwrittencoveringthetechnicalaspectsofCDandDevOps,yetthevastmajorityoftheindustrydoesn’tfullyunderstandwhattheyactuallyareandhow,ifadoptedcorrectlytheycanhelporganizationsdrasticallychangethewaytheydelivervalue.ThisbookwillhelpyoufigureouthowCDandDevOpscanhelpyoutooptimize,streamline,andimprovethewayyouworktoconsistentlydeliverqualitysoftware.Inthisedition,you’llbeintroducedtomoderntools,techniques,andexamplestohelpyouunderstandwhattheadoptionofCDandDevOpsentails.ItprovidesclearandconciseinsightsintowhatCDandDevOpsareallabout,howtogoaboutbothpreparingforandadoptingthem,andwhatquantifiablevaluetheybring.Youwillbeguidedthroughthevariousstagesofadoption,theimpacttheywillhaveonyourbusinessandthoseworkingwithinit,howtoovercomecommonproblems,andwhattodoonceCDandDevOpshavebecometrulyembedded.Includedwithinthisbookaresomereal-worldexamples,tricks,andtipsthatwillhelpeasetheadoptionprocessandallowyoutofullyutilizethepowerofCDandDevOps

·7.7萬字

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Hands-On Meta Learning with Python

Metalearningisanexcitingresearchtrendinmachinelearning,whichenablesamodeltounderstandthelearningprocess.UnlikeotherMLparadigms,withmetalearningyoucanlearnfromsmalldatasetsfaster.Hands-OnMetaLearningwithPythonstartsbyexplainingthefundamentalsofmetalearningandhelpsyouunderstandtheconceptoflearningtolearn.Youwilldelveintovariousone-shotlearningalgorithms,likesiamese,prototypical,relationandmemory-augmentednetworksbyimplementingtheminTensorFlowandKeras.Asyoumakeyourwaythroughthebook,youwilldiveintostate-of-the-artmetalearningalgorithmssuchasMAML,Reptile,andCAML.YouwillthenexplorehowtolearnquicklywithMeta-SGDanddiscoverhowyoucanperformunsupervisedlearningusingmetalearningwithCACTUs.Intheconcludingchapters,youwillworkthroughrecenttrendsinmetalearningsuchasadversarialmetalearning,taskagnosticmetalearning,andmetaimitationlearning.Bytheendofthisbook,youwillbefamiliarwithstate-of-the-artmetalearningalgorithmsandabletoenablehuman-likecognitionforyourmachinelearningmodels.

·4萬字

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Hands-On Deep Learning for Games

Thenumberofapplicationsofdeeplearningandneuralnetworkshasmultipliedinthelastcoupleofyears.Neuralnetshasenabledsignificantbreakthroughsineverythingfromcomputervision,voicegeneration,voicerecognitionandself-drivingcars.Gamedevelopmentisalsoakeyareawherethesetechniquesarebeingapplied.Thisbookwillgiveanindepthviewofthepotentialofdeeplearningandneuralnetworksingamedevelopment.Wewilltakealookatthefoundationsofmulti-layerperceptron’stousingconvolutionalandrecurrentnetworks.InapplicationsfromGANsthatcreatemusicortexturestoself-drivingcarsandchatbots.Thenweintroducedeepreinforcementlearningthroughthemulti-armedbanditproblemandotherOpenAIGymenvironments.AsweprogressthroughthebookwewillgaininsightsaboutDRLtechniquessuchasMotivatedReinforcementLearningwithCuriosityandCurriculumLearning.WealsotakeacloserlookatdeepreinforcementlearningandinparticulartheUnityML-Agentstoolkit.Bytheendofthebook,wewilllookathowtoapplyDRLandtheML-Agentstoolkittoenhance,testandautomateyourgamesorsimulations.Finally,wewillcoveryourpossiblenextstepsandpossibleareasforfuturelearning.

·8.2萬字

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Hands-On Design Patterns with Java

Javadesignpatternsarereusableandprovensolutionstosoftwaredesignproblems.Thisbookcoversover60battle-testeddesignpatternsusedbydeveloperstocreatefunctional,reusable,andflexiblesoftware.Hands-OnDesignPatternswithJavastartswithanintroductiontotheUnifiedModelingLanguage(UML),anddelvesintoclassandobjectdiagramswiththehelpofdetailedexamples.You'llstudyconceptsandapproachestoobject-orientedprogramming(OOP)andOOPdesignpatternstobuildrobustapplications.Asyouadvance,you'llexplorethecategoriesofGOFdesignpatterns,suchasbehavioral,creational,andstructural,thathelpyouimprovecodereadabilityandenablelarge-scalereuseofsoftware.You’llalsodiscoverhowtoworkeffectivelywithmicroservicesandserverlessarchitecturesbyusingclouddesignpatterns,eachofwhichisthoroughlyexplainedandaccompaniedbyreal-worldprogrammingsolutions.Bytheendofthebook,you’llbeabletospeedupyoursoftwaredevelopmentprocessusingtherightdesignpatterns,andyou’llbecomfortableworkingonscalableandmaintainableprojectsofanysize.

·5.2萬字

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Cognitive Computing with IBM Watson

Cognitivecomputingisrapidlyinfusingeveryaspectofourlivesridingonthreeimportantfields:datascience,machinelearning(ML),andartificialintelligence(AI).Itallowscomputingsystemstolearnandkeeponimprovingastheamountofdatainthesystemgrows.Thisbookintroducesreaderstoawholenewparadigmofcomputing–aparadigmthatistotallydifferentfromtheconventionalcomputingoftheInformationAge.YouwilllearntheconceptsofML,deeplearning(DL),neuralnetworks,andAIthroughthesetofAPIsprovidedbyIBMWatson.Thisbookwillhelpyoubuildyourownapplicationstounderstand,plan,andsolveproblems,andanalyzethemasperyourneeds.Youwilllearnaboutvariousdomainsofcognitivecomputing,suchasNLP,voiceprocessing,computervision,emotionanalytics,andconversationalsystems,usingdifferentIBMWatsonAPIs.Fromthis,thereaderwilllearnwhatMLis,andwhatgoesoninthebackgroundtomakecomputers"dotheirmagic,"aswellaswheretheseconceptshavebeenapplied.Havingachievedthis,thereaderswillthenbeabletoembarkontheirjourneyoflearning,researching,andapplyingtheconceptintheirrespectivefields.

·4.8萬字

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Deep Learning with R for Beginners

Deeplearningfindspracticalapplicationsinseveraldomains,whileRisthepreferredlanguagefordesigninganddeployingdeeplearningmodels.ThisLearningPathintroducesyoutothebasicsofdeeplearningandeventeachesyoutobuildaneuralnetworkmodelfromscratch.Asyoumakeyourwaythroughthechapters,you’llexploredeeplearninglibrariesandunderstandhowtocreatedeeplearningmodelsforavarietyofchallenges,rightfromanomalydetectiontorecommendationsystems.Thebookwillthenhelpyoucoveradvancedtopics,suchasgenerativeadversarialnetworks(GANs),transferlearning,andlarge-scaledeeplearninginthecloud,inadditiontomodeloptimization,overfitting,anddataaugmentation.Throughreal-worldprojects,you’llalsogetuptospeedwithtrainingconvolutionalneuralnetworks(CNNs),recurrentneuralnetworks(RNNs),andlongshort-termmemorynetworks(LSTMs)inR.BytheendofthisLearningPath,you’llbewellversedwithdeeplearningandhavetheskillsyouneedtoimplementanumberofdeeplearningconceptsinyourresearchworkorprojects.ThisLearningPathincludescontentfromthefollowingPacktproducts:RDeepLearningEssentials-SecondEditionbyJoshuaF.WileyandMarkHodnett.RDeepLearningProjectsbyYuxi(Hayden)LiuandPabloMaldonado.

·11.5萬字

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Learn Selenium

SeleniumWebDriver3.xisanopensourceAPIfortestingbothbrowserandmobileapplications.Withthehelpofthisbook,youcanbuildasolidfoundationandcaneasilyperformend-to-endtestingonwebandmobilebrowsers.You'llbeginbybeingintroducedtotheSeleniumPageObjectModelforsoftwaredevelopment.You'llarchitectyourownframeworkwithascalabledriverclass,Javautilityclasses,andsupportforthird-partytoolsandplugins.You'lldesignandbuildaSeleniumgridfromscratchtoenabletheframeworktoscaleandsupportdifferentbrowsers,mobiledevices,andplatforms.You'llstrategizeandhandlearichwebUIusingtheadvancedWebDriverAPIandlearntechniquestohandlereal-timechallengesinWebDriver.You'llperformdifferenttypesoftesting,suchascross-browsertesting,loadtesting,andmobiletesting.Finally,youwillalsobeintroducedtodata-driventesting,usingTestNGtocreateyourownautomationframework.BytheendofthisLearningPath,you'llbeabletodesignyourownautomationtestingframeworkandperformdata-driventestingwithSeleniumWebDriver.ThisLearningPathincludescontentfromthefollowingPacktproducts:SeleniumWebDriver3PracticalGuide-SecondEditionbyUnmeshGundecha.SeleniumFrameworkDesigninData-DrivenTestingbyCarlCocchiaro.

·8.8萬字

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Applying Math with Python

Python,oneoftheworld'smostpopularprogramminglanguages,hasanumberofpowerfulpackagestohelpyoutacklecomplexmathematicalproblemsinasimpleandefficientway.Thesecorecapabilitieshelpprogrammerspavethewayforbuildingexcitingapplicationsinvariousdomains,suchasmachinelearninganddatascience,usingknowledgeinthecomputationalmathematicsdomain.Thebookteachesyouhowtosolveproblemsfacedinawidevarietyofmathematicalfields,includingcalculus,probability,statisticsanddatascience,graphtheory,optimization,andgeometry.You'llstartbydevelopingcoreskillsandlearningaboutpackagescoveredinPython’sscientificstack,includingNumPy,SciPy,andMatplotlib.Asyouadvance,you'llgettogripswithmoreadvancedtopicsofcalculus,probability,andnetworks(graphtheory).Afteryougainasolidunderstandingofthesetopics,you'lldiscoverPython'sapplicationsindatascienceandstatistics,forecasting,geometry,andoptimization.Thefinalchapterswilltakeyouthroughacollectionofmiscellaneousproblems,includingworkingwithspecificdataformatsandacceleratingcode.Bytheendofthisbook,you'llhaveanarsenalofpracticalcodingsolutionsthatcanbeusedandmodifiedtosolveawiderangeofpracticalproblemsincomputationalmathematicsanddatascience.

·8.1萬字

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大數據技術體系詳解：原理、架構與實踐

隨著大數據技術的普及，它已經被廣泛應用于互聯網、電信、金融、工業制造等諸多行業。據相關報告統計，大數據人才需求呈井噴態勢，越來越多的程序員開始學習大數據技術，這使得它已經成為程序員所需的基本技能。為了滿足大數據人才市場需求，越來越多的大數據技術書籍不斷面世，包括《Hadoop權威指南》《Hadoop實戰》等。盡管如此，面向初、中級學者，能夠系統化、體系化介紹大數據技術的基礎書籍并不多見。筆者曾接觸過大量大數據初學者，他們一直渴望能有一本簡單且易于理解的教科書式的大數據書籍出現。為了滿足這些讀者的需求，筆者根據自己多年的數據項目和培訓經驗，繼《Hadoop技術內幕》書籍之后，于兩年前開始嘗試編寫一本淺顯易讀的大數據基礎書籍。

·17.2萬字

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云計算服務保障體系

云計算是一種商業計算模型，它將計算任務分布在大量計算機構成的資源池上，使用戶能夠按需獲取計算能力、存儲空間和信息服務。與以往的計算模式不同，云計算環境下，信息安全和服務保障問題更嚴重、更突出。本書從云計算的安全技術和服務質量評價兩個方面論述云計算服務保障的體系架構，安全技術方面主要闡述了基于可信計算的實時度量、基于角色的數據隔離訪問、云節點信任鏈的動態維護模型與驗證機制和多級安全訪問控制模型；服務質量評價方面提出基于動態篩選評價指標的云服務QoS模型（CSERVQUAL）和改進TOPSIS的云服務QoS評價方法（IEC-TOPSIS）。本書適合開發、維護和使用云計算服務的人員閱讀，可以作為云計算研究人員的參考書，也可以作為計算機與信息安全相關專業高年級本科和研究生階段教材。

·9.5萬字

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算法設計與分析

為了便于讀者進行系統學習、分類整理知識點及遇到問題時能夠快速找到求解的方法，本書按照算法策略進行劃分，每一章都引入了若干個經典問題。通過問題的分析、計算模型的建立、算法的設計與描述、算法的分析來深入解讀每一種算法策略所能解決的問題范疇及方法。全書共分9章，內容包括：算法設計基礎、算法效率分析基礎、迭代法、蠻力法、分治策略、回溯與分支界限、貪心算法、動態規劃、隨機算法。本書非常注重教材的可讀性和實用性，以問題分析→模型設計→算法設計描述→算法分析為技術線路，幫助讀者迅速掌握算法設計要點，規范算法設計、分析及實現的方法。書中例題的問題分析和模型設計模塊用于培養讀者的抽象設計能力，算法設計模塊用于提高讀者運用計算機求解問題的能力，算法分析模塊用于幫助讀者運行用數學工具對算法進行客觀分析。同時，本書編寫時也考慮到初學者所面臨的困難，在算法設計與描述中，刻意增加了基于源代碼的程序設計與實現環節，從而全方位地幫助讀者提高算法設計與分析實踐能力和理論水平。

·9.4萬字

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云數據中心基礎

本教材共介紹7個項目，項目1為云數據中心認知，主要介紹了什么是數據中心、云數據中心的特點、體系結構、云數據中心和傳統數據中心的區別、綠色數據的概念以及發展趨勢。項目2介紹了云數據中心的規劃與設計，主要包括云數據中心的設計建設的指標、基礎設施的規劃以及云數據中心的優化策略。項目3介紹了云數據中心的硬件選型，主要包括服務器設備、網絡設備以及存儲設備的介紹和選型。項目4到項目6則重點介紹了虛擬化技術、云計算技術和運維技術，以及KVM虛擬化的搭建OpenStack的搭建，Zabbix、Puppet、KickStart搭建，項目7則介紹了Docker與Kubernetes容器技術，其中詳細介紹了Docker與Kubernetes的搭建和實現。

·12.1萬字

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MySQL數據庫基礎實例教程

本書較全面地介紹了MySQL數據庫的基礎知識及其應用。本書共11章，包括數據庫基礎，MySQL的安裝與配置，數據庫的基本操作，數據表的基本操作，表數據的增、改、刪操作，數據查詢，視圖，索引，存儲過程與觸發器，事務，數據安全等內容。本書采用案例教學方式，每章以應用實例的方式闡述知識要點，再通過實訓項目分析綜合應用，最后輔以思考與練習鞏固所學知識。應用實例、實訓項目、思考與練習這3個部分分別采用3個不同的數據庫項目貫穿始末。本書既可作為計算機相關專業和非計算機專業數據庫基礎或數據庫開發課程的教材，也可作為計算機軟件開發人員、從事數據庫管理與維護工作的專業人員、廣大計算機愛好者的自學用書。

·7.8萬字

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精益數據分析

本書圍繞精益創業展開討論，融合了精益創業法、客戶開發、商業模式畫布和敏捷持續集成的精華。本書匯聚了100多位創始人、投資人、內部創業者和創新者的成功創業經驗，呈現了30多個極具價值的案例分析，可以為各階段的創業者提供行為準則。

·21.6萬字

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大數據技術體系與開源生態

本書從大數據生命周期的角度闡述大數據技術體系與開源生態的發展。全書分為7篇，包括大數據技術體系與開源生態概述、大數據獲取技術、大數據管理技術、大數據處理技術、大數據分析與挖掘技術、大數據可視化與交互技術、大數據安全與治理技術。又分為15章，詳細介紹大數據的技術概況、發展近況和技術優勢、軟件架構、和應用場景等內容。本書適合大數據和人工智能業內人員、各大高校相關專業的高年級本科生和研究生、以及對大數據應用中各類框架組件的愛好者閱讀。

·22.9萬字

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數字化轉型方法論：落地路徑與數據中臺

本書的寫作目的是讓企業管理者以及行長、校長等組織領導更清楚如何進行數字化轉型、如何分工/協同、如何保障轉型成功落地、如何低成本/低風險地轉型，從而讓中國企業在數字化轉型上少走彎路，讓研發人員、業務人員和廣大數據從業者及數據技術愛好者了解數字化轉型及數據中臺的落地路徑與實施方法，知道如何配合高層執行轉型方案。本書采用理論與實踐相結合的方法，介紹企業如何從戰略、人才、技術三個角度實現數字化轉型，為讀者提供數字化轉型落地方法和實施指導，適合企業高層和中層團隊多個角色一起學習，上下同欲，威力強大！本書內容分為8個部分，層層剖析數字化轉型之路，并為讀者詳細解讀數字化轉型的實施路徑。

·15.7萬字

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ECharts數據可視化：入門、實戰與進階

這是一部ECharts的實戰手冊，內容系統而全面，由淺入深，能帶領讀者快速從新人晉級為高手，做出漂亮的商業級數據圖表。本書內容得到了ECharts項目官方核心Committer&PPMC成員羨轍的高度評價和推薦。本書一共12章，從邏輯上可分為四個部分。第一部分基礎篇（第1~4章）主要介紹了ECharts的基礎知識、環境搭建、常用組件、可視化圖，以及如何利用ECharts制作簡單可視化圖。第二部分進階篇（第5~6章）主要講解了ECharts的色彩主題，以及如何制作復雜動態可視化圖。第三部分應用篇（第7~10章）講解了如何使用ECharts制作Dashboard，如何使用ECharts開發數據產品demo，如何使用Python將ECharts和大數據可視化結合起來，以及ECharts可視化在文本挖掘上的應用。第四部分提高篇（第11~12章）總結了一些ECharts可視化的高級用法，并分享了作者在制作可視化過程中的經驗與思考。

·4.7萬字

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Internet of Things Programming with JavaScript

LearntheartofbringingtheInternetofThingsintoyourprojectswiththepowerofJavaScriptAboutThisBook?ThisisapracticalguidetohelpyouconfigureandbuildacompletedistributedIoTsystemfromscratchusingJavaScript?UtilizethepowerofNodeandHTML5todevelopwebservicesandacentralizedwebserver,enablinghigh-levelcommunicationbetweenconnecteddevices?ControlallyourconnecteddevicesfromthebrowserbysettingupacommondashboardWhoThisBookIsForThisbookisfordeveloperswhoareinterestedinlearninghowtocommunicatewithconnecteddevicesinJavaScripttosetupanIoTsystem.SomebasicknowledgeofJavaScriptisexpected.HobbyistswhowanttoexplorethepotentialofIoTinJavaScriptwillalsofindthisbookuseful.WhatYouWillLearn?DeveloptheskillstoconnecteddevicespreparedthefieldtointeractwiththedevicesinanetworksystemInternetofThings?Findouthowtoconnectsensorsandactuatorstothedevices?Senddatatoawebserverconnecteddevices?UnderstandInternetofthingsusingwebservicesanddatabase?ConfigureadashboardusingHTML5andJavaScript?Controldevicesconnectedfromadashboard?Monitordifferentdevicesfromthedashboard?BuildanappforasmartphonetocontroldifferentdevicesInDetailTheInternetofThings(IoT)isanentirelynewplatformfordevelopersandengineers,butonethingthatremainsconsistentaswemoveintothisnewworld,aretheprogramminglanguages.JavaScriptisthemostwidelyusedlanguageovertheInternet,andwithIoTgainingmomentum,youwilllearnhowtoharnessthepowerofJavaScripttointeractwithconnecteddevices.ThisbookwillteachyouhowtointeractwithendpointdevicesbydevelopingwebservicesinJavaScriptandalsosetupaninterfacetocontrolallconnecteddevices.Thisbookbeginswithsettingupacentralizedwebserverthatservesasahubforallconnecteddevices.Thebookthenprogressesfurthertowardsbuildingwebservicestofacilitatehigh-levelcommunicationbetweenconnecteddevices.UsingArduinoandRaspberryPiZeroasendpointdevices,thebookwillshowyouhowdevicescancommunicatewitheachother,performawiderangeoftasks,andalsobecontrolledfromacentralizedlocationusingJavaScript.Thebookendswithcreatingahybridapptocontrolthedevicesthatcanberunfromabrowserorinstalledonasmartphone.StyleandapproachThisbookoffersstep-by-stepguidanceonhowtosetupadistributedIoTsystemusingJavaScript.ItwillteachyouhowtointeractwithendpointdevicesbydevelopingwebservicesinJavaScriptandalsosetupaninterfaceforcontrollingallconnecteddevices.

·2.6萬字

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Libgdx Cross/platform Game Development Cookbook

Ifyouwanttomakecross-platformgameswithoutthehassleanddangersofwritingplatform-specificcode,orIfyouareagameprogrammerwhomayhavesomeexperiencewithJavaandyouwanttolearneverythingyouneedtoknowaboutLibgdxtoproduceawesomework,thisisthebookforyou.Totakefulladvantageoftherecipesinthisbook,youareexpectedtobefamiliarwithjavawithgoodgameprogrammingknowledge.