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MySQL Management and Administration with Navicat

StandardMini.ThisbookiswrittenforMySQLUsers,Developers,andadminswhowanttodiscoverjusthoweasyNavicatmakesevennormallyarduoustasks.

·2.7萬字

巧學活用WPS

WPSOffice是一款免費的正版軟件，支持在線無限更新；WPSOffice也是一款精巧的軟件，只有40MB大小，但可以為用戶提供數千個精品模板；WPSOffice還是一款功能強大的軟件，它不僅具有豐富的全屏幕編輯功能，而且提供了多種輸出格式及打印功能，設計的文稿美觀、規范，可以滿足各行業文字編輯、輸出文件的需求。

·2.7萬字

MCSA Windows Server 2016 Certification Guide：Exam 70-741

MCSA:WindowsServer2016isoneofthemostsought-aftercertificationsforITprofessionalswhichincludeworkingwithWindowsServerandperformingadministrativetasksaroundit.IttargetsExam70-740,Exam70-741,Exam70-742andExam70-743certificationsandthedemandforthesecertificationsisincreasinglyhigh.Thisbookwillstartwithinstallation,upgradeandmigrationtoWindowsServer2016,coverimaginganddeploymentandproceedwithHighAvailabilityandClustering.ThenwewilldeepdiveintofundamentalconceptslikeCorenetworking,DNS,DHCP,StorageandproceedtoHyper-V,NetworkAccessandDistributedFileSystem.ItwillalsoexplainAdvancedNetworkingtopicssuchasSoftwareDefinedNetworkingandHigh-PerformanceNetworking.Furthermore,itwillalsocoveradvancedIdentitytopicsinWindowsServer2016suchasActiveDirectoryinstallationandconfiguration,GroupPolicy,ActiveDirectoryCertificateServices,andActiveDirectoryFederationServicesandRightsManagement.Towardstheendofthisbook,testquestionsandmockpreparationitemswillhelpinpreparingforthecertificationswithmoreease.Bytheendofthisbook,youwillbeabletocompleteMCSA:WindowsServer2016certificationwithmoreconfidence.

·2.7萬字

工業機器人入門實用教程

本書基于珞石（ROKAE）工業機器人，從機器人應用過程中需掌握的技能出發，由淺入深、循序漸進地介紹了ROKAE機器人實用入門知識;從安全操作注意事項切入，配合豐富的實物圖片，系統介紹了ROKAE工業機器人的系統組成、首次組裝、示教器、基本操作、工具及用戶坐標系的定義及建立、I/O及配置、指令與編程、零點標定和程序備份加載等實用內容;基于具體案例，詳細講解了機器人系統的編程、調試、自動生產的過程。通過學習本書，讀者可對ROKAE工業機器人的實際使用過程有一個全面清晰的認識。本書圖文并茂，通俗易懂，具有很強的實用性和可操作性，既可作為高等院校和中高職院校工業機器人相關專業的教材，又可作為工業機器人培訓機構用書，同時可供相關行業的技術人員參考。

·2.6萬字

IBM? SmartCloud? Essentials

Apractical,user-friendlyguidethatprovidesanintroductiontocloudcomputingusingIBMSmartCloud,alongwithathoroughunderstandingofresourcemanagementinacloudenvironment.ThisbookisgreatforanyonewhowantstogetagraspofwhatcloudcomputingisandwhatIBMSmartCloudhastooffer.IfyouareanITspecialist,ITarchitect,systemadministrator,oradeveloperwhowantstothoroughlyunderstandthecloudcomputingresourcemodel,thisbookisidealforyou.Nopriorknowledgeofcloudcomputingisexpected.

·2.6萬字

Prezi Essentials

IfyouwanttolearnPrezi,andspecificallydesignwithinPrezi,thisisthebookforyou.PerhapsyoualreadyknowabitaboutPrezibuthaveneverusedit,orperhapsyouhaveusedPrezibeforebutwanttolearnhowtoincorporateyourowncustomdesignelements.Ineithercase,thisbookwillgetyouupandrunningquickly.ItwouldbehelpfultohaveabitoffamiliaritywithbasicdesignconceptsandtheuseofPrezi,butpriorexperienceisnotessential.

Drupal 7 Multi Sites Configuration

Followthecreationofamulti-siteinstancewithDrupal.ThepracticalexamplesandaccompanyingscreenshotswillhelpyoutogetmultipleDrupalsitessetupinnotime.ThisbookisforDrupalsitebuilders.ItisassumedthatreadersarefamiliarwithDrupalalready,withabasicgraspofitsconceptsandcomponents.Systemadministrationconcepts,suchasconfiguringApache,MySQL,andVagrantarecoveredbutnopreviousknowledgeofthesetoolsisrequired.

Python Artificial Intelligence Projects for Beginners

ArtificialIntelligence(AI)isthenewesttechnologythat’sbeingemployedamongvariedbusinesses,industries,andsectors.PythonArtificialIntelligenceProjectsforBeginnersdemonstratesAIprojectsinPython,coveringmoderntechniquesthatmakeuptheworldofArtificialIntelligence.ThisbookbeginswithhelpingyoutobuildyourfirstpredictionmodelusingthepopularPythonlibrary,scikit-learn.Youwillunderstandhowtobuildaclassifierusinganeffectivemachinelearningtechnique,randomforest,anddecisiontrees.Withexcitingprojectsonpredictingbirdspecies,analyzingstudentperformancedata,songgenreidentification,andspamdetection,youwilllearnthefundamentalsandvariousalgorithmsandtechniquesthatfosterthedevelopmentofthesesmartapplications.Intheconcludingchapters,youwillalsounderstanddeeplearningandneuralnetworkmechanismsthroughtheseprojectswiththehelpoftheKeraslibrary.Bytheendofthisbook,youwillbeconfidentinbuildingyourownAIprojectswithPythonandbereadytotakeonmoreadvancedprojectsasyouprogress.

工業機器人工程應用虛擬仿真教程：MotoSim EG-VRC

《工業機器人工程應用虛擬仿真教程：MotoSimEG-VRC》以安川（YASKAWA）工業機器人作為對象，介紹使用安川公司的機器人仿真軟件MotoSimEG-VRC進行工業機器人的基本操作、功能設置、方案設計和驗證的學習。中心內容包括：認識、安裝工業機器人仿真軟件；各個菜單中工具的使用；如何使用MotoSimEG-VRC在工業機器人焊接、噴涂、碼垛、打磨等項目中構建系統；宏程序、高速傳送等功能在仿真中的使用。通過本書學習可使讀者熟練使用安川工業機器人仿真軟件MotoSimEG-VRC，掌握工業機器人虛擬示教、工業機器人工作站布局、工業機器人工作姿態優化，確認系統方案、工業機器人型號、工業機器人/工件安裝位置、工業機器人動作范圍和可達到性等，進而對夾具提出修改意見等全面、系統的仿真應用技能；使讀者了解工業機器人離線編程仿真方法，掌握利用相關建模操作來組建常見工業機器人工作站的方法和步驟。

工業機器人運動仿真編程實踐：基于Android和OpenGL

本書介紹使用Java語言和OpenGL圖形編程工具開發Android操作系統下工業機器人仿真軟件的編程方法和程序實例。學習完本書，讀者可以自己編寫出一個簡單的工業機器人運動仿真程序，使其在Android操作系統的手機和平板電腦上運行。本書對使用OpenGL編程工具編寫Android操作系統下其他圖形顯示軟件也具有參考作用，適合作為各類高等院校相關專業學生、工程技術人員及編程愛好者自學Android操作系統下OpenGL編程技術的入門教材。

面向STEM的mBlock智能機器人創新課程

機器人技術是人工智能的重要組成部分，目前很多公司推出的機器人相似度極高，缺乏新創意的融入。另外，很多公司壁壘性較強，開發的軟件界面各異，硬件各不兼容，配套的機器人說明書所述項目也普遍偏少，具有獨特性的基于學生眼光的有趣案例更為缺乏。本書包含了20個層次不同的案例，師生可以在這個“課程超市”中選擇感興趣的、適合自己水平的案例進行制作。

Mastering Matplotlib 2.x

Inthisbook,you’llgethands-onwithcustomizingyourdataplotswiththehelpofMatplotlib.You’llstartwithcustomizingplots,makingahandfulofspecial-purposeplots,andbuilding3Dplots.You’llexplorenon-triviallayouts,Pylabcustomization,andmoreabouttileconfiguration.You’llbeabletoaddtext,putlinesinplots,andalsohandlepolygons,shapes,andannotations.Non-Cartesianandvectorplotsareexcitingtoconstruct,andyou’llexplorethemfurtherinthisbook.You’lldelveintonicheplotsandvisualizeordinalandtabulardata.Inthisbook,you’llbeexploring3Dplotting,oneofthebestfeatureswhenitcomesto3Ddatavisualization,alongwithJupyterNotebook,widgets,andcreatingmoviesforenhanceddatarepresentation.Geospatialplottingwillalsobeexplored.Finally,you’lllearnhowtocreateinteractiveplotswiththehelpofJupyter.LearnexperttechniquesforeffectivedatavisualizationusingMatplotlib3andPythonwithourlatestoffering--Matplotlib3.0Cookbook

Network Security with pfSense

Whileconnectedtotheinternet,you’reapotentialtargetforanarrayofcyberthreats,suchashackers,keyloggers,andTrojansthatattackthroughunpatchedsecurityholes.Afirewallworksasabarrier(or‘shield’)betweenyourcomputerandcyberspace.pfSenseishighlyversatilefirewallsoftware.WiththousandsofenterprisesusingpfSense,itisfastbecomingtheworld'smosttrustedopensourcenetworksecuritysolution.NetworkSecuritywithpfSensebeginswithanintroductiontopfSense,whereyouwillgainanunderstandingofwhatpfSenseis,itskeyfeatures,andadvantages.Next,youwilllearnhowtoconfigurepfSenseasafirewallandcreateandmanagefirewallrules.Asyoumakeyourwaythroughthechapters,youwilltestpfSenseforfailoverandloadbalancingacrossmultiplewideareanetwork(WAN)connections.YouwillthenconfigurepfSensewithOpenVPNforsecureremoteconnectivityandimplementIPsecVPNtunnelswithpfSense.Intheconcludingchapters,you’llunderstandhowtoconfigureandintegratepfSenseasaSquidproxyserver.Bytheendofthisbook,youwillbeabletoleveragethepowerofpfSensetobuildasecurenetwork.

Mastering Predictive Analytics with scikit：learn and TensorFlow

Pythonisaprogramminglanguagethatprovidesawiderangeoffeaturesthatcanbeusedinthefieldofdatascience.MasteringPredictiveAnalyticswithscikit-learnandTensorFlowcoversvariousimplementationsofensemblemethods,howtheyareusedwithreal-worlddatasets,andhowtheyimprovepredictionaccuracyinclassificationandregressionproblems.Thisbookstartswithensemblemethodsandtheirfeatures.Youwillseethatscikit-learnprovidestoolsforchoosinghyperparametersformodels.Asyoumakeyourwaythroughthebook,youwillcoverthenitty-grittyofpredictiveanalyticsandexploreitsfeaturesandcharacteristics.YouwillalsobeintroducedtoartificialneuralnetworksandTensorFlow,andhowitisusedtocreateneuralnetworks.Inthefinalchapter,youwillexplorefactorssuchascomputationalpower,alongwithimprovementmethodsandsoftwareenhancementsforefficientpredictiveanalytics.Bytheendofthisbook,youwillbewell-versedinusingdeepneuralnetworkstosolvecommonproblemsinbigdataanalysis.

Building Impressive Presentations with Impress.js

Thisbookgivesyouexactlywhatyouneed,exactlywhenyouneedit.Usingeasy-to-followpracticalexamples,thisguidetakesyoufromsimplepresentationstocompletewebsitesinnotime.IfyouwanttoengageyouraudienceonalevelnotpreviouslypossibleonsoftwaresuchasPowerPointorPrezi,thenthisbookisforyou.WithbasicknowledgeofHTML,CSS,andJavaScriptyoucanstartmakingpresentationsthattrulyImpress.

R Graph Essentials

ThisbookistargetedatRprogrammerswhowanttolearnthegraphingcapabilitiesofR.ThisbookwillpresumethatyouhaveworkingknowledgeofR.

DevOps for Salesforce

SalesforceisoneofthetopCRMtoolsusedthesedays,andwithitsimmensefunctionalitiesandfeatures,iteasesthefunctioningofanenterpriseinvariousareasofsales,marketing,andfinance,amongothers.DeployingSalesforceapplicationsisatrickyevent,anditcangetquitetaxingforadminsandconsultants.ThisbookaddressesalltheproblemsthatyoumightencounterwhiletryingtodeployyourapplicationsandshowsyouhowtoresorttoDevOpstotakethesechallengesheadon.BeginningwithanoverviewofthedevelopmentanddeliveryprocessofaSalesforceapp,DevOpsforSalesforcecoversvarioustypesofsandboxingandhelpsyouunderstandwhentochoosewhichtype.YouwillthenseehowdifferentitistodeploywithSalesforceascomparedtodeployingwithanotherapp.Youwilllearnhowtoleverageamigrationtoolandautomatedeploymentusingthelatestandmostpopulartoolsintheecosystem.ThisbookexplorestopicssuchasversioncontrolandDevOpstechniquessuchasContinuousIntegration,ContinuousDelivery,andtesting.Finally,thebookwillconcludebyshowingyouhowtotrackbugsinyourapplicationchangesusingmonitoringtoolsandhowtoquantifyyourproductivityandROI.Bytheendofthebook,youwillhaveacquiredskillstocreate,test,andeffectivelydeployyourapplicationsbyleveragingthefeaturesofDevOps.

Machine Learning for Data Mining

Machinelearning(ML)combinedwithdataminingcangiveyouamazingresultsinyourdataminingworkbyempoweringyouwithseveralwaystolookatdata.Thisbookwillhelpyouimproveyourdataminingtechniquesbyusingsmartmodelingtechniques.ThisbookwillteachyouhowtoimplementMLalgorithmsandtechniquesinyourdataminingwork.Itwillenableyoutopairthebestalgorithmswiththerighttoolsandprocesses.Youwilllearnhowtoidentifypatternsandmakepredictionswithminimalhumanintervention.YouwillbuilddifferenttypesofMLmodels,suchastheneuralnetwork,theSupportVectorMachines(SVMs),andtheDecisiontree.Youwillseehowallofthesemodelsworksandwhatkindofdatainthedatasettheyaresuitedfor.Youwilllearnhowtocombinetheresultsofdifferentmodelsinordertoimproveaccuracy.Topicssuchasremovingnoiseandhandlingerrorswillgiveyouanaddededgeinmodelbuildingandoptimization.Bytheendofthisbook,youwillbeabletobuildpredictivemodelsandextractinformationofinterestfromthedataset

·2.3萬字