9733游戏平台

IfyouarearoboticsenthusiastorresearcherwhowanttolearnmoreaboutbuildingrobotapplicationsusingROS,thisbookisforyou.Inordertolearnfromthisbook,youshouldhaveabasicknowledgeofROS,GNU/Linux,andC++programmingconcepts.ThebookisalsoexcellentforprogrammerswhowanttoexploretheadvancedfeaturesofROS.

·9萬字

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Data Analysis with Python

DataAnalysiswithPythonoffersamodernapproachtodataanalysissothatyoucanworkwiththelatestandmostpowerfulPythontools,AItechniques,andopensourcelibraries.IndustryexpertDavidTaiebshowsyouhowtobridgedatasciencewiththepowerofprogrammingandalgorithmsinPython.You'llbeworkingwithcomplexalgorithms,andcutting-edgeAIinyourdataanalysis.Learnhowtoanalyzedatawithhands-onexamplesusingPython-basedtoolsandJupyterNotebook.You'llfindtherightbalanceoftheoryandpractice,withextensivecodefilesthatyoucanintegraterightintoyourowndataprojects.Explorethepowerofthisapproachtodataanalysisbythenworkingwithitacrosskeyindustrycasestudies.Fourfascinatingandfullprojectsconnectyoutothemostcriticaldataanalysischallengesyou’relikelytomeetintoday.ThefirstoftheseisanimagerecognitionapplicationwithTensorFlow–embracingtheimportancetodayofAIinyourdataanalysis.Thesecondindustryprojectanalysessocialmediatrends,exploringbigdataissuesandAIapproachestonaturallanguageprocessing.Thethirdcasestudyisafinancialportfolioanalysisapplicationthatengagesyouwithtimeseriesanalysis-pivotaltomanydatascienceapplicationstoday.Thefourthindustryusecasedivesyouintographalgorithmsandthepowerofprogramminginmoderndatascience.You'llwrapupwithathoughtfullookatthefutureofdatascienceandhowitwillharnessthepowerofalgorithmsandartificialintelligence.

·8.9萬字

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Internet of Things with Python

InteractwiththeworldandrapidlyprototypeIoTapplicationsusingPythonAboutThisBook?RapidlyprototypeevencomplexIoTapplicationswithPythonandputthemtopracticaluse?EnhanceyourIoTskillswiththemostup-to-dateapplicabilityinthefieldofwearabletech,smartenvironments,andhomeautomation?Interactwithhardware,sensors,andactuatorsandcontrolyourDIYIoTprojectsthroughPythonWhoThisBookIsForThebookisidealforPythondeveloperswhowanttoexplorethetoolsinthePythonecosysteminordertobuildtheirownIoTapplicationsandworkonIoT-relatedprojects.ItisalsoaveryusefulresourcefordeveloperswithexperienceinotherprogramminglanguagesthatwanttoeasilyprototypeIoTapplicationswiththeIntelGalileoGen2board.WhatYouWillLearn?PrototypeanddevelopIoTsolutionsfromscratchwithPythonastheprogramminglanguage?DevelopIoTprojectswithIntelGalileoGen2boardalongwithPython?WorkwiththedifferentcomponentsincludedintheboardsusingPythonandtheMRAAlibrary?Interactwithsensors,actuators,andshields?WorkwithUARTandlocalstorage?InteractwithanyelectronicdevicethatsupportstheI2Cbus?Allowmobiledevicestointeractwiththeboard?Workwithreal-timeIoTandcloudservices?UnderstandBigDataandIoTanalyticsInDetailInternetofThings(IoT)isrevolutionizingthewaydevices/thingsinteractwitheachother.AndwhenyouhaveIoTwithPythononyourside,you'llbeabletobuildinteractiveobjectsanddesignthem.Thisbookletsyoustayattheforefrontofcutting-edgeresearchonIoT.We'llopenupthepossibilitiesusingtoolsthatenableyoutointeractwiththeworld,suchasIntelGalileoGen2,sensors,andotherhardware.Youwilllearnhowtoread,write,andconvertdigitalvaluestogenerateanalogoutputbyprogrammingPulseWidthModulation(PWM)inPython.Youwillgetfamiliarwiththecomplexcommunicationsystemincludedintheboard,soyoucaninteractwithanyshield,actuator,orsensor.Lateron,youwillnotonlyseehowtoworkwithdatareceivedfromthesensors,butalsoperformactionsbysendingthemtoaspecificshield.You'llbeabletoconnectyourIoTdevicetotheentireworld,byintegratingWiFi,Bluetooth,andInternetsettings.Witheverythingready,youwillseehowtoworkinrealtimeonyourIoTdeviceusingtheMQTTprotocolinpython.Bytheendofthebook,youwillbeabletodevelopIoTprototypeswithPython,libraries,andtools.StyleandapproachThisbooktakesatutorial-likeapproachwithmissioncriticalchapters.Theinitialchaptersareintroductionsthatsetthepremiseforusefulexamplescoveredinlaterchapters.

·8.6萬字

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Lean Mobile App Development

Thisbookisfordevelopers,CTOs,andarchitectsworkingforastartuporanotherkindofleanstartupenvironment,suchasstart-upwithinacooperation.ItisisidealforanyiOSandAndroiddeveloperwhowantstobuildsuccessfulmobileappsbyadoptingtheleanstartupmethodology.

·8.8萬字

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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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大數據數學基礎（R語言描述）

本書全面地講解了在科學領域運用廣泛的數據微積分、線性代數、統計學、數值計算、多元統計分析等數學基礎知識。全書共6章：第1章介紹了大數據與數學、數學與R語言的關系；第2章介紹了微積分的基礎知識，包括函數、極限、導數、微分、不定積分與定積分及其應用；第3章介紹了線性代數的基礎知識，包括矩陣的運算、行列式、特征分解、奇異值分解；第4章介紹了統計學的基礎知識，包括數據分布特征、概率論、隨機變量的數字特征、參數估計、假設檢驗；第5章介紹了數值計算的基礎知識，包括插值方法、函數逼近與擬合、非線性方程（組）求根；第6章介紹了常用的多元統計分析方法，包括回歸分析、聚類分析、判別分析、主成分分析、因子分析和典型相關分析。本書中的幾乎所有實例都結合R語言進行求解分析，所有章后都有課后習題，可以幫助讀者鞏固所學的內容。

·7.7萬字

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大數據定義智能運維

無數據，不AI。而沒有統一完整的基礎數據資源平臺管理，AIOps也無從談起。基礎運維數據資源平臺是AIOps的數據基石，也是未來支撐企業數據戰略的兩大數據平臺之一。構建數據平臺需要數據治理工作的保駕護航。然而在運維數據治理領域開展數據治理工作尚屬空白，缺乏理論體系支撐和值得借鑒的成功經驗。本書在分析運維數據治理與傳統數據治理的差異化特點基礎上，對于數據治理的DAMA理論體系在運維數據管理領域實現了在廣義元數據管理、廣義數據標準、廣義數據模型等理論突破，創造性的提出運維數據模型建設，為運維數據治理構建了體系化理論并提供了具有方法論支撐的完整藍圖。同時，就運維數據平臺建設本書也分享了基于數據模型實體庫的概要設計，以數據湖為基礎，包含運維數據中臺建設的架構規劃。本書還在工業運維領域略作延展，分析工業運維數據模型的差異化特點，就包括數字孿生、時空數據等關鍵工業技術為核心的物理融合技術做了介紹，提出了開展智能工業運維的必要內容。

·7.8萬字

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Modern Programming: Object Oriented Programming and Best Practices

Discovertheuntappedfeaturesofobject-orientedprogramminganduseitwithothersoftwaretoolstocodefast,efficientapplications.KeyFeatures*Explorethecomplexitiesofobject-orientedprogramming(OOP)*DiscoverwhatOOPcandoforyou*LearntousethekeytoolsandsoftwareengineeringpracticestosupportyourownprogrammingneedsBookDescriptionYourexperienceandknowledgealwaysinfluencetheapproachyoutakeandthetoolsyouusetowriteyourprograms.Withasoundunderstandingofhowtoapproachyourgoalandwhatsoftwareparadigmstouse,youcancreatehigh-performingapplicationsquicklyandefficiently.Inthistwo-partbook,you’lldiscovertheuntappedfeaturesofobject-orientedprogramminganduseitwithothersoftwaretoolstocodefastandefficientapplications.ThefirstpartofthebookbeginswithadiscussiononhowOOPisusedtodayandmovesontoanalyzetheideasandproblemsthatOOPdoesn’taddress.ItcontinuesbydeconstructingthecomplexityofOOP,showingyouitsfundamentallysimplecore.You’llseethat,byusingthedistinctiveelementsofOOP,youcanlearntobuildyourapplicationsmoreeasily.Thenextpartofthisbooktalksaboutacquiringtheskillstobecomeabetterprogrammer.You’llgetanoverviewofhowvarioustools,suchasversioncontrolandbuildmanagement,helpmakeyourlifeeasier.Thisbookalsodiscussestheprosandconsofotherprogrammingparadigms,suchasaspect-orientedprogrammingandfunctionalprogramming,andhelpstoselectthecorrectapproachforyourprojects.Itendsbytalkingaboutthephilosophybehinddesigningsoftwareandwhatitmeanstobea"good"developer.Bytheendofthistwo-partbook,youwillhavelearnedthatOOPisnotalwayscomplex,andyouwillknowhowyoucanevolveintoabetterprogrammerbylearningaboutethics,teamwork,anddocumentation.Whatyouwilllearn*Untanglethecomplexityofobject-orientedprogrammingbybreakingitdowntoitsessentialbuildingblocks*RealizethefullpotentialofOOPtodesignefficient,maintainableprograms*Utilizecodingbestpractices,includingTDD,pairprogrammingandcodereviews,toimproveyourwork*Usetools,suchassourcecontrolandIDEs,toworkmoreefficiently*Learnhowtomostproductivelyworkwithotherdevelopers*BuildyourownsoftwaredevelopmentphilosophyWhothisbookisforThisbookisidealforprogrammerswhowanttounderstandthephilosophybehindcreatingsoftwareandwhatitmeanstobe“good”atdesigningsoftware.ProgrammerswhowanttodeconstructtheOOPparadigmandseehowitcanbereconstructedinaclear,straightforwardwaywillalsofindthisbookuseful.Tounderstandtheideasexpressedinthisbook,youmustbeanexperiencedprogrammerwhowantstoevolvetheirpractice.

·8.5萬字

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臨危不懼：Oracle 11g數據庫恢復技術

本書分為三大部分：恢復的原理、恢復的工具、恢復的具體步驟與實戰。第一部分能夠讓讀者領略恢復操作的本質，是其他部分的理論基礎，包括“重做日志”、“控制文件”、“補充日志”；第二部分詳細地介紹了備份/恢復數據庫的工具，包括恢復管理器、恢復編錄和數據泵；第三部分以各種數據庫損毀場景為例，每一章解決一組特定的問題，其中：第7～11章討論各種文件（控制文件、數據文件等）遭到不同程度的破壞后，數據庫的行為特征及如何將其恢復；第12章探討如何將數據庫恢復至以前的時間點；第13章討論如何處理各種數據庫文件在沒有備份時受損的情況；第14章全面介紹了由于人為導致錯誤的各種閃回技術；第15章介紹將恢復的單位縮小，精確到數據塊級別，以提高恢復效率；第16章介紹一種非常規恢復的方法——挖掘日志。

·15.4萬字

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Delphi High Performance

ThisbookisforDelphideveloperswhowouldliketobuildhighperformanceapplicationswithDelphi.PriorknowledgeofDelphiisassumed.

·8.6萬字

會員

Nagios Core Administrators Cookbook

ThisbookiswritteninCookbookstyle,beginningwithrecipesbasedonbasicstructurewhichgraduallyprogressestowardsusingNagiosCoreasamonitoringframework.ThisbookisforSystemAdministratorswhoarelookingforrecipestohelpthemdealwithadvancednetworkmonitoringissueswithNagiosCore.

·8.6萬字

會員

Mastering Machine Learning with R（Second Edition）

Thisbookisfordatascienceprofessionals,dataanalysts,oranyonewithaworkingknowledgeofmachinelearning,withRwhonowwanttotaketheirskillstothenextlevelandbecomeanexpertinthefield.

·8.6萬字

會員

大數據測試技術：數據采集、分析與測試實踐（在線實驗+在線自測）

本書從工程角度出發，闡述了運用大數據技術進行軟件測試的方法和實現過程。全書共11章，介紹了大數據測試思維、手機聯網數據的收集方法、數據格式的轉換方法、大數據的處理方法、軟件缺陷挖掘技術及實踐項目的應用等。本書第1章介紹了大數據的測試方法和思維方式，隨后每一章都通過案例來講解大數據技術的相關理論及其測試應用。除第1章外，每章最后都提供了思考題來幫助讀者回顧和鞏固本章的學習內容，本書最后還提供了思考題的參考答案。同時，本書對每一個案例進行了詳細圖例展示和講解。

·8.3萬字

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Hands-On Design Patterns with Swift

SwiftkeepsgainingtractionnotonlyamongstAppledevelopersbutalsoasaserver-sidelanguage.Thisbookdemonstrateshowtoapplydesignpatternsandbestpracticesinreal-lifesituations,whetherthat'sforneworalreadyexistingprojects.You’llbeginwithaquickrefresheronSwift,thecompiler,thestandardlibrary,andthefoundation,followedbytheCocoadesignpatterns–theonesatthecoreofmanycocoalibraries–tofollowupwiththecreational,structural,andbehavioralpatternsasdefinedbytheGoF.You'llgetacquaintedwithapplicationarchitecture,aswellasthemostpopulararchitecturaldesignpatterns,suchasMVCandMVVM,andlearntousetheminthecontextofSwift.Inaddition,you’llwalkthroughdependencyinjectionandfunctionalreactiveprogramming.Specialemphasiswillbegiventotechniquestohandleconcurrency,includingcallbacks,futuresandpromises,andreactiveprogramming.Thesetechniqueswillhelpyouadoptatest-drivenapproachtoyourworkflowinordertouseSwiftPackageManagerandintegratetheframeworkintotheoriginalcodebase,alongwithUnitandUItesting.Bytheendofthebook,you'llbeabletobuildapplicationsthatarescalable,faster,andeasiertomaintain.

·8.6萬字

會員

Artificial Intelligence for Big Data

Thisbookisforyouifyouareadatascientist,bigdataprofessional,ornovicewhohasbasicknowledgeofbigdataandwishtogetproficiencyinArtificialIntelligencetechniquesforbigdata.Somecompetenceinmathematicsisanaddedadvantageinthefieldofelementarylinearalgebraandcalculus.

·8.4萬字

會員

Python數據分析從小白到專家

本書共13章，主要內容涵蓋Python語法及數據分析方法。第1章主要介紹數據分析的概念，使讀者有一個大致的印象，并簡單介紹本書頻繁使用的Python的5個第三方庫。第2章主要做一些準備工作，手把手帶讀者搭建Python環境，包括Python3.7.6的安裝和pip的安裝。第3章介紹Python編程基礎。第4章到第7章介紹使用Python進行簡單數據分析的基礎庫，包括NumPy、Pandas和Matplotlib庫，并介紹使用正則表達式處理數據的方法。第8章到第13章屬于進階內容，但也是Python數據分析的基礎，結合機器學習介紹一些常見的用于數據分析的機器學習算法及常用的數學模型。

·8.4萬字

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Mastering Java for Data Science

ThisbookisintendedforsoftwareengineerswhoarecomfortablewithdevelopingJavaapplicationsandarefamiliarwiththebasicconceptsofdatascience.Additionally,itwillalsobeusefulfordatascientistswhodonotyetknowJavabutwantorneedtolearnit.Ifyouarewillingtobuildefficientdatascienceapplicationsandbringthemintheenterpriseenvironmentwithoutchangingtheexistingstack,thisbookisforyou!

·8.3萬字

會員

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

會員

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

會員

MySQL數據庫項目化教程

本書以實際的學生競賽項目管理系統為案例依托，從MySQL數據庫的相關概念及理論知識出發，介紹系統需求分析、數據庫設計與實施、數據庫管理與優化等內容，最終實現學生競賽項目管理系統的設計、開發、部署和運行。全書以項目為單元，共分為9個項目，28個子任務。項目一為數據庫的設計，項目二為MySQL數據庫，項目三為數據庫的管理，項目四為數據表的管理，項目五為數據查詢，項目六為數據庫編程，項目七為數據庫索引與視圖，項目八為數據庫安全及性能優化，項目九為學生競賽項目管理系統的開發。書中各項目的子任務之間，內容循序漸進，逐層深入，力求將關系數據庫中抽象的問題具體化、圖形化，化復雜為簡單，適合教學。本書可作為應用型本科院校、高職高專院校計算機及相關專業數據庫課程的教材，也可以作為MySQL數據庫初學者及相關開發人員的參考書。

·7.3萬字

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大數據數學基礎（R語言描述）

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Hands-On Deep Learning for Games

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