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Elasticsearch 7.0 Cookbook（Fourth Edition）
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Elasticsearch 7.0 Cookbook（Fourth Edition）

ElasticsearchisaLucene-baseddistributedsearchserverthatallowsuserstoindexandsearchunstructuredcontentwithpetabytesofdata.Withthisbook,you'llbeguidedthroughcomprehensiverecipesonwhat'snewinElasticsearch7,andseehowtocreateandruncomplexqueriesandanalytics.Packedwithrecipesonperformingindexmapping,aggregation,andscriptingusingElasticsearch,thisfourtheditionofElasticsearchCookbookwillgetyouacquaintedwithnumeroussolutionsandquicktechniquesforperformingbotheverydayanduncommontaskssuchasdeployingElasticsearchnodes,integratingothertoolstoElasticsearch,andcreatingdifferentvisualizations.YouwillinstallKibanatomonitoraclusterandalsoextenditusingavarietyofplugins.Finally,youwillintegrateyourJava,Scala,Python,andbigdataapplicationssuchasApacheSparkandPigwithElasticsearch,andcreateefficientdataapplicationspoweredbyenhancedfunctionalitiesandcustomplugins.Bytheendofthisbook,youwillhavegainedin-depthknowledgeofimplementingElasticsearcharchitecture,andyou'llbeabletomanage,search,andstoredataefficientlyandeffectivelyusingElasticsearch.

Alberto Paro ·自動化 ·12.8萬字

Hands-On Deep Learning Architectures with Python
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Hands-On Deep Learning Architectures with Python

Deeplearningarchitecturesarecomposedofmultilevelnonlinearoperationsthatrepresenthigh-levelabstractions;thisallowsyoutolearnusefulfeaturerepresentationsfromthedata.Thisbookwillhelpyoulearnandimplementdeeplearningarchitecturestoresolvevariousdeeplearningresearchproblems.Hands-OnDeepLearningArchitectureswithPythonexplainstheessentiallearningalgorithmsusedfordeepandshallowarchitectures.Packedwithpracticalimplementationsandideastohelpyoubuildefficientartificialintelligencesystems(AI),thisbookwillhelpyoulearnhowneuralnetworksplayamajorroleinbuildingdeeparchitectures.Youwillunderstandvariousdeeplearningarchitectures(suchasAlexNet,VGGNet,GoogleNet)witheasy-to-followcodeanddiagrams.Inadditiontothis,thebookwillalsoguideyouinbuildingandtrainingvariousdeeparchitecturessuchastheBoltzmannmechanism,autoencoders,convolutionalneuralnetworks(CNNs),recurrentneuralnetworks(RNNs),naturallanguageprocessing(NLP),GAN,andmore—allwithpracticalimplementations.Bytheendofthisbook,youwillbeabletoconstructdeepmodelsusingpopularframeworksanddatasetswiththerequireddesignpatternsforeacharchitecture.Youwillbereadytoexplorethepotentialofdeeparchitecturesintoday'sworld.

Yuxi (Hayden) Liu Saransh Mehta ·自動化 ·6.2萬字

AWS Certified Advanced Networking：Specialty Exam Guide
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AWS Certified Advanced Networking：Specialty Exam Guide

Amazonhasrecentlycomeupawithspecialtycertificationswhichvalidatesaparticularuser'sexpertisethathe/shewouldwanttobuildacareerin.SincetheCloudmarketnowdemandsofAWSnetworkingskillsthisbecomesthemostwantedcertificationtoupheldonesindustryportfolio.Thisbookwouldbeyouridealcompaniontogettingskilledwithcomplexandcreativenetworkingsolutions.Cloudpractitionersorassociate-levelcertifiedindividualsinterestedinvalidatingadvancedskillsinnetworkingcanoptforthispracticalguide.ThisbookwillincludetopicsthatwillhelpyoudesignandimplementAWSandhybridITnetworkarchitecturesalongwithsomenetworkautomationtasks.YouwillalsodelvedeepintotopicsthatwillhelpyoudesignandmaintainnetworkarchitectureforallAWSservices.Likemostofourcertificationguidesthisbookwillalsofollowauniqueapproachoftestingyourlearningwithchapter-levelpracticeexercisesandcertification-basedmocktests.Theexammocktestswillhelpyougaugewhetheryouarereadytotakethecertificationexamornot.Thisbookwillalsobeanadvancedguidefornetworkingprofessionalstoenhancetheirnetworkingskillsandgetcertified.Bytheendofthisbook,youwillbeallequippedwithAWSnetworkingconceptsandtechniquesandwillhavemasteredcorearchitecturalbestpractices.

Marko Sluga ·自動化 ·6.4萬字

Learning Elastic Stack 7.0（Second Edition）
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Learning Elastic Stack 7.0（Second Edition）

TheElasticStackisapowerfulcombinationoftoolsfortechniquessuchasdistributedsearch,analytics,logging,andvisualizationofdata.ElasticStack7.0encompassesnewfeaturesandcapabilitiesthatwillenableyoutofinduniqueinsightsintoanalyticsusingthesetechniques.Thisbookwillgiveyouafundamentalunderstandingofwhatthestackisallabout,andhelpyouuseitefficientlytobuildpowerfulreal-timedataprocessingapplications.Thefirstfewsectionsofthebookwillhelpyouunderstandhowtosetupthestackbyinstallingtools,andexploringtheirbasicconfigurations.You’llthengetuptospeedwithusingElasticsearchfordistributedsearchingandanalytics,Logstashforlogging,andKibanafordatavisualization.Asyouworkthroughthebook,youwilldiscoverthetechniqueofcreatingcustompluginsusingKibanaandBeats.ThisisfollowedbycoverageoftheElasticX-Pack,ausefulextensionforeffectivesecurityandmonitoring.You’llalsofindhelpfultipsonhowtouseElasticCloudanddeployElasticStackinproductionenvironments.Bytheendofthisbook,you’llbewellversedwiththefundamentalElasticStackfunctionalitiesandtheroleofeachcomponentinthestacktosolvedifferentdataprocessingproblems.

Pranav Shukla Sharath Kumar M N ·自動化 ·8.6萬字

Hands-On Exploratory Data Analysis with R
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Hands-On Exploratory Data Analysis with R

Hands-OnExploratoryDataAnalysiswithRwillhelpyoubuildnotjustafoundationbutalsoexpertiseintheelementarywaystoanalyzedata.Youwilllearnhowtounderstandyourdataandsummarizeitsmaincharacteristics.You'llalsouncoverthestructureofyourdata,andyou'lllearngraphicalandnumericaltechniquesusingtheRlanguage.Thisbookcoverstheentireexploratorydataanalysis(EDA)process—datacollection,generatingstatistics,distribution,andinvalidatingthehypothesis.Asyouprogressthroughthebook,youwilllearnhowtosetupadataanalysisenvironmentwithtoolssuchasggplot2,knitr,andRMarkdown,usingtoolssuchasDOEScatterPlotandSML2010formultifactor,optimization,andregressiondataproblems.Bytheendofthisbook,youwillbeabletosuccessfullycarryoutapreliminaryinvestigationonanydataset,identifyhiddeninsights,andpresentyourresultsinabusinesscontext.

Radhika Datar Harish Garg ·自動化 ·3.6萬字

Hands-On Neural Networks
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Hands-On Neural Networks

Neuralnetworksplayaveryimportantroleindeeplearningandartificialintelligence(AI),withapplicationsinawidevarietyofdomains,rightfrommedicaldiagnosis,tofinancialforecasting,andevenmachinediagnostics.Hands-OnNeuralNetworksisdesignedtoguideyouthroughlearningaboutneuralnetworksinapracticalway.Thebookwillgetyoustartedbygivingyouabriefintroductiontoperceptronnetworks.YouwillthengaininsightsintomachinelearningandalsounderstandwhatthefutureofAIcouldlooklike.Next,youwillstudyhowembeddingscanbeusedtoprocesstextualdataandtheroleoflongshort-termmemorynetworks(LSTMs)inhelpingyousolvecommonnaturallanguageprocessing(NLP)problems.Thelaterchapterswilldemonstratehowyoucanimplementadvancedconceptsincludingtransferlearning,generativeadversarialnetworks(GANs),autoencoders,andreinforcementlearning.Finally,youcanlookforwardtofurthercontentonthelatestadvancementsinthefieldofneuralnetworks.Bytheendofthisbook,youwillhavetheskillsyouneedtobuild,train,andoptimizeyourownneuralnetworkmodelthatcanbeusedtoprovidepredictablesolutions.

Leonardo De Marchi Laura Mitchell ·自動化 ·4.9萬字

Geospatial Data Science Quick Start Guide
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Geospatial Data Science Quick Start Guide

Datascientists,whohaveaccesstovastdatastreams,areabitmyopicwhenitcomestointrinsicandextrinsiclocation-baseddataandaremissingoutontheintelligenceitcanprovidetotheirmodels.Thisbookdemonstrateseffectivetechniquesforusingthepowerofdatascienceandgeospatialintelligencetobuildeffective,intelligentdatamodelsthatmakeuseoflocation-baseddatatogiveusefulpredictionsandanalyses.Thisbookbeginswithaquickoverviewofthefundamentalsoflocation-baseddataandhowtechniquessuchasExploratoryDataAnalysiscanbeappliedtoit.Wethendelveintospatialoperationssuchascomputingdistances,areas,extents,centroids,bufferpolygons,intersectinggeometries,geocoding,andmore,whichaddsadditionalcontexttolocationdata.Movingahead,youwilllearnhowtoquicklybuildanddeployageo-fencingsystemusingPython.Lastly,youwilllearnhowtoleveragegeospatialanalysistechniquesinpopularrecommendationsystemssuchascollaborativefilteringandlocation-basedrecommendations,andmore.Bytheendofthebook,youwillbearockstarwhenitcomestoperforminggeospatialanalysiswithease.

Abdishakur Hassan Jayakrishnan Vijayaraghavan ·自動化 ·3萬字

Hands-On Artificial Intelligence on Amazon Web Services
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Hands-On Artificial Intelligence on Amazon Web Services

Fromdatawranglingthroughtotranslatingtext,youcanaccomplishthisandmorewiththeartificialintelligenceandmachinelearningservicesavailableonAWS.Withthisbook,you’llworkthroughhands-onexercisesandlearntousetheseservicestosolvereal-worldproblems.You’llevendesign,develop,monitor,andmaintainmachineanddeeplearningmodelsonAWS.ThebookstartswithanintroductiontoAIanditsapplicationsindifferentindustries,alongwithanoverviewofAWSartificialintelligenceandmachinelearningservices.You’llthengettogripswithdetectingandtranslatingtextwithAmazonRekognitionandAmazonTranslate.Thebookwillassistyouinperformingspeech-to-textwithAmazonTranscribeandAmazonPolly.Later,you’lldiscovertheuseofAmazonComprehendforextractinginformationfromtext,andAmazonLexforbuildingvoicechatbots.YouwillalsounderstandthekeycapabilitiesofAmazonSageMakersuchaswranglingbigdata,discoveringtopicsintextcollections,andclassifyingimages.Finally,you’llcoversalesforecastingwithdeeplearningandautoregression,beforeexploringtheimportanceofafeedbackloopinmachinelearning.Bytheendofthisbook,youwillhavetheskillsyouneedtoimplementAIinAWSthroughhands-onexercisesthatcoverallaspectsoftheMLmodellifecycle.

Subhashini Tripuraneni Charles Song ·自動化 ·8.2萬字

Machine Learning for Cybersecurity Cookbook
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Machine Learning for Cybersecurity Cookbook

Organizationstodayfaceamajorthreatintermsofcybersecurity,frommaliciousURLstocredentialreuse,andhavingrobustsecuritysystemscanmakeallthedifference.Withthisbook,you'lllearnhowtousePythonlibrariessuchasTensorFlowandscikit-learntoimplementthelatestartificialintelligence(AI)techniquesandhandlechallengesfacedbycybersecurityresearchers.You'llbeginbyexploringvariousmachinelearning(ML)techniquesandtipsforsettingupasecurelabenvironment.Next,you'llimplementkeyMLalgorithmssuchasclustering,gradientboosting,randomforest,andXGBoost.Thebookwillguideyouthroughconstructingclassifiersandfeaturesformalware,whichyou'lltrainandtestonrealsamples.Asyouprogress,you'llbuildself-learning,reliantsystemstohandlecybersecuritytaskssuchasidentifyingmaliciousURLs,spamemaildetection,intrusiondetection,networkprotection,andtrackinguserandprocessbehavior.Later,you'llapplygenerativeadversarialnetworks(GANs)andautoencoderstoadvancedsecuritytasks.Finally,you'lldelveintosecureandprivateAItoprotecttheprivacyrightsofconsumersusingyourMLmodels.Bytheendofthisbook,you'llhavetheskillsyouneedtotacklereal-worldproblemsfacedinthecybersecuritydomainusingarecipe-basedapproach.

Emmanuel Tsukerman ·自動化 ·5.6萬字

Microsoft 365 Mobility and Security：Exam Guide MS-101
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Microsoft 365 Mobility and Security：Exam Guide MS-101

ExamMS-101:Microsoft365MobilityandSecurityisapartoftheMicrosoft365Certified:EnterpriseAdministratorExpertcertificationpathdesignedtohelpusersvalidatetheirskillsinevaluating,planning,migrating,deploying,andmanagingMicrosoft365services.Thisbookwillhelpyouimplementmoderndeviceservices,applyMicrosoft365securityandthreatmanagement,andmanageMicrosoft365governanceandcompliance.Writteninasuccinctway,you’llexplorechapter-wiseself-assessmentquestions,examtips,andmockexamswithanswers.You’llstartbyimplementingmobiledevicemanagement(MDM)andhandlingdevicecompliance.You’lldelveintothreatdetectionandmanagement,learninghowtomanagesecurityreportsandconfigureMicrosoft365alerts.Later,you’lldiscoverdatalossprevention(DLP)toolstoprotectdataaswellastoolsforconfiguringauditlogsandpolicies.ThebookwillalsoguideyouthroughusingAzureInformationProtection(AIP)fordeployingclients,applyingpolicies,andconfiguringservicesanduserstoenhancedatasecurity.Finally,you’llcoverbestpracticesforconfiguringsettingsacrossyourtenanttoensurecomplianceandsecurity.Bytheendofthisbook,you’llhavelearnedtoworkwithMicrosoft365servicesandcoveredtheconceptsandtechniquesyouneedtoknowtopasstheMS-101exam.

Nate Chamberlain ·自動化 ·4萬字

Learn SOLIDWORKS 2020
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Learn SOLIDWORKS 2020

SOLIDWORKSistheleadingchoicefor3Dengineeringandproductdesignapplicationsacrossindustriessuchasaviation,automobiles,andconsumerproductdesign.ThisbooktakesapracticalapproachtogettingyouupandrunningwithSOLIDWORKS2020.You'llstartwiththebasics,exploringthesoftwareinterfaceandworkingwithdrawingfiles.Thebookthenguidesyouthroughtopicssuchassketching,buildingcomplex3Dmodels,generatingdynamicandstaticassemblies,andgenerating2Dengineeringdrawingstoequipyouformechanicaldesignprojects.You'llalsodopracticalexercisestogethands-onwithcreatingsketches,3Dpartmodels,assemblies,anddrawings.ToreinforceyourunderstandingofSOLIDWORKS,thebookissupplementedbydownloadablefilesthatwillhelpyoufollowupwiththeconceptsandexercisesfoundinthebook.Bytheendofthisbook,you'llhavegainedtheskillsyouneedtocreateprofessional3DmechanicalmodelsusingSOLIDWORKS,andyou'llbeabletoprepareeffectivelyfortheCertifiedSOLIDWORKSAssociate(CSWA)andCertifiedSOLIDWORKSProfessional(CSWP)exams.

Tayseer Almattar ·自動化 ·7.6萬字

Hands-On Edge Analytics with Azure IoT
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Hands-On Edge Analytics with Azure IoT

EdgeanalyticshasgainedattentionastheIoTmodelforconnecteddevicesrisesinpopularity.Thisguidewillgiveyouinsightsintoedgeanalyticsasadataanalysismodel,andhelpyouunderstandwhyit’sgainingmomentum.You'llbeginwiththekeyconceptsandcomponentsusedinanedgeanalyticsapp.Movingahead,you'lldelveintocommunicationprotocolstounderstandhowsensorssendtheirdatatocomputersormicrocontrollers.Next,thebookwilldemonstratehowtodesignmodernedgeanalyticsappsthattakeadvantageoftheprocessingpowerofmodernsingle-boardcomputersandmicrocontrollers.Later,you'llexploreMicrosoftAzureIoTEdge,MicroPython,andtheOpenCVvisualrecognitionlibrary.Asyouprogress,you'llcovertechniquesforprocessingAIfunctionalitiesfromtheserversidetothesensorysideofIoT.You'llevengethands-onwithdesigningasmartdoorbellsystemusingthetechnologiesyou’velearned.Toremovevulnerabilitiesintheoveralledgeanalyticsarchitecture,you'lldiscoverwaystoovercomesecurityandprivacychallenges.Finally,you'llusetoolstoauditandperformreal-timemonitoringofincomingdataandgeneratealertsfortheinfrastructure.Bytheendofthisbook,you'llhavelearnedhowtouseedgeanalyticsprogrammingtechniquesandbeabletoimplementautomatedanalyticalcomputations.

Colin Dow ·自動化 ·4.3萬字

Salesforce for Beginners
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Salesforce for Beginners

Salesforceistheworld'sleadingCustomerRelationshipManagement(CRM)software,helpingbusinessesconnectwiththeirconstituentsandpartners.Thisbookwillgiveyouacomprehensiveintroductiontomanagingsales,marketing,customerrelationships,andoveralladministrationforyourorganization.You'lllearnhowtoconfigureanduseSalesforceformaximumefficiencyandreturnoninvestment.You'llstartbylearninghowtocreateactivities,manageleads,anddevelopyourprospectsandsalespipelineusingopportunitiesandaccounts,andthenunderstandhowyoucanenhancemarketingactivitiesusingcampaigns.Packedwithreal-worldbusinessusecases,thisSalesforcebookwillshowyouhowtoanalyzeyourbusinessinformationaccuratelytomakeproductivedecisions.Asyouadvance,you'llgettogripswithbuildingvariousreportsanddashboardsinSalesforcetoderivevaluablebusinessinsights.Finally,you'llexploretoolssuchasprocessbuilder,approvalprocesses,andassignmentrulestoachievebusinessprocessautomationandsetoutonthepathtobecomingasuccessfulSalesforceAdministrator.Bytheendofthebook,you'llhavelearnedhowtouseSalesforceeffectivelytoachieveyourbusinessgoals.

Sharif Shaalan ·自動化 ·5.7萬字

Learn Grafana 7.0
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Learn Grafana 7.0

Grafanaisanopen-sourceanalyticalplatformusedtoanalyzeandmonitoringtime-seriesdata.Thisbeginner'sguidewillhelpyougettogripswithGrafana'snewfeaturesforquerying,visualizing,andexploringmetricsandlogsnomatterwheretheyarestored.ThebookbeginsbyshowingyouhowtoinstallandsetuptheGrafanaserver.You'llexploretheworkingmechanismofvariouscomponentsoftheGrafanainterfacealongwithitssecurityfeatures,andlearnhowtovisualizeandmonitordatausing,InfluxDB,Prometheus,Logstash,andElasticsearch.ThisGrafanabookcoverstheadvancedfeaturesoftheGraphpanelandshowsyouhowStat,Table,BarGauge,andTextareused.You'llbuilddynamicdashboardstoperformend-to-endanalyticsandlabelandorganizedashboardsintofolderstomakethemeasiertofind.Asyouprogress,thebookdelvesintotheadministrativeaspectsofGrafanabycreatingalerts,settingpermissionsforteams,andimplementinguserauthentication.AlongwithexploringGrafana'smulti-cloudmonitoringsupport,you'llalsolearnaboutGrafanaLoki,whichisabackendloggerforusersrunningPrometheusandKubernetes.Bytheendofthisbook,you'llhavegainedalltheknowledgeyouneedtostartbuildinginteractivedashboards.

Eric Salituro ·自動化 ·7.6萬字

Learning RSLogix 5000 Programming
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Learning RSLogix 5000 Programming

Understandingprogrammablelogiccontroller(PLC)programmingwithRockwellSoftware’sLogixDesignerandtheStudio5000platform,whichincludesControlLogix,CompactLogix,andSoftLogix,iskeytobuildingrobustPLCsolutions.RSLogix5000/Studio5000’sLogixDesignerareuser-friendlyIEC61131-3-compliantinterfacesforprogrammingthecurrentgenerationofRockwellAutomationControllersusingLadderDiagram(LD),FunctionBlockDiagram(FBD),StructuredText(ST),andSequentialFunctionChart(SFC).ThissecondeditionofLearningRSLogix5000ProgrammingguidesyouthroughthetechnicalitiesandcomespackedwiththelatestfeaturesofStudio5000,industrialnetworkingfundamentals,andindustrialcybersecuritybestpractices.You’llgothroughtheessentialhardwareandsoftwarecomponentsofLogix,beforelearningallaboutthenewL8processormodelandthelatestStudio5000architecturetobuildeffectiveintegratedsolutions.Entirelynewforthisedition,you’lldiscoverachapteroncybersecurityconceptswithRSLogix5000.Thebookevengetsyouhands-onwithbuildingarobotbartendercontrolsystemfromstarttofinish.BytheendofthisLogix5000book,you’llhaveaclearunderstandingofthecapabilitiesoftheLogixplatformandbeabletoconfidentlynavigateRockwellAutomationLiteratureLibraryresources.

Austin Scott ·自動化 ·6.9萬字

Python Algorithmic Trading Cookbook
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Python Algorithmic Trading Cookbook

IfyouwanttofindouthowyoucanbuildasolidfoundationinalgorithmictradingusingPython,thiscookbookisheretohelp.StartingbysettingupthePythonenvironmentfortradingandconnectivitywithbrokers,you’llthenlearntheimportantaspectsoffinancialmarkets.Asyouprogress,you’lllearntofetchfinancialinstruments,queryandcalculatevarioustypesofcandlesandhistoricaldata,andfinally,computeandplottechnicalindicators.Next,you’lllearnhowtoplacevarioustypesoforders,suchasregular,bracket,andcoverorders,andunderstandtheirstatetransitions.Laterchapterswillcoverbacktesting,papertrading,andfinallyrealtradingforthealgorithmicstrategiesthatyou'vecreated.You’llevenunderstandhowtoautomatetradingandfindtherightstrategyformakingeffectivedecisionsthatwouldotherwisebeimpossibleforhumantraders.Bytheendofthisbook,you’llbeabletousePythonlibrariestoconductkeytasksinthealgorithmictradingecosystem.Note:Fordemonstration,we'reusingZerodha,anIndianStockMarketbroker.Ifyou'renotanIndianresident,youwon'tbeabletouseZerodhaandthereforewillnotbeabletotesttheexamplesdirectly.However,youcantakeinspirationfromthebookandapplytheconceptsacrossyourpreferredstockmarketbrokerofchoice.

Pushpak Dagade ·自動化 ·10萬字

Hands-On Graph Analytics with Neo4j
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Hands-On Graph Analytics with Neo4j

Neo4jisagraphdatabasethatincludespluginstoruncomplexgraphalgorithms.Thebookstartswithanintroductiontothebasicsofgraphanalytics,theCypherquerylanguage,andgrapharchitecturecomponents,andhelpsyoutounderstandwhyenterpriseshavestartedtoadoptgraphanalyticswithintheirorganizations.You’llfindouthowtoimplementNeo4jalgorithmsandtechniquesandexplorevariousgraphanalyticsmethodstorevealcomplexrelationshipsinyourdata.You’llbeabletoimplementgraphanalyticscateringtodifferentdomainssuchasfrauddetection,graph-basedsearch,recommendationsystems,socialnetworking,anddatamanagement.You’llalsolearnhowtostoredataingraphdatabasesandextractvaluableinsightsfromit.Asyoubecomewell-versedwiththetechniques,you’lldiscovergraphmachinelearninginordertoaddresssimpletocomplexchallengesusingNeo4j.Youwillalsounderstandhowtousegraphdatainamachinelearningmodelinordertomakepredictionsbasedonyourdata.Finally,you’llgettogripswithstructuringawebapplicationforproductionusingNeo4j.Bytheendofthisbook,you’llnotonlybeabletoharnessthepowerofgraphstohandleabroadrangeofproblemareas,butyou’llalsohavelearnedhowtouseNeo4jefficientlytoidentifycomplexrelationshipsinyourdata.

Estelle Scifo ·自動化 ·10.1萬字

Ubuntu 20.04 Essentials
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Ubuntu 20.04 Essentials

Forbeginners,thebookcoverstopicssuchasoperatingsysteminstallation,thebasicsoftheGNOMEdesktopenvironment,configuringemailandwebservers,andinstallingpackagesandsystemupdates.AdditionalinstallationtopicssuchasdualbootingwithMicrosoftWindowsarealsocoveredalongwithcrucialsecuritytopicssuchasconfiguringafirewallanduserandgroupadministration.Fortheexperienceduser,thebookdelvesintotopicssuchasremotedesktopaccess,theCockpitwebinterface,logicalvolumemanagement(LVM),diskpartitioning,andswapmanagement.Further,italsoexploresKVMvirtualization,SecureShell(SSH),Linuxcontainers,andfilesharingusingbothSambaandNFStoprovideathoroughoverviewofthisenterprise-classoperatingsystem.

Neil Smyth ·自動化 ·7.5萬字

鄭國江詞畫人生（第二版）　
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鄭國江詞畫人生（第二版）　

歌聲飄送千千里，不計距離。歌聲飄送萬萬里，跨遠地。歌聲句句唱出，愉快少年事。好歌一生，伴著你。從“小小的宇宙”到“心中感嘆似水流年”，有多少首歌曾經伴你成長？一闕闕歌詞，曾經代表你的心情嗎？寫了二千多首歌詞的鄭國江，在這專集中，除了加入一些以詞意創作的國畫和書法外，還會談談他創作歌詞的過程和歌詞背后的故事。

鄭國江 ·輕工業 ·6.8萬字

香港神功戲
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香港神功戲

把戲劇跟宗教儀式、祭祀習俗結合起來做研究的方法，是由英國希臘學家珍·夏理遜（J.E.Harrison）于1910年首次提出的。她的看法對后代學者起了很大的啟發。本書作者秉承了上述觀點和深受實地考查方法的影響，長年累月地在香港各社群，用圖像和文字記錄他們酬神的活動——神功戲的演出。本書所觸及之問題，直指傳統戲劇生存之核心意義，亦填補了此向為中國學者所忽略之空白。書中還分析了神功戲的種類，粵、潮及福佬劇神功戲的演出習慣，社群與戲班宗教的儀式、習俗與禁忌，神功戲籌辦的具體情形……

陳守仁 ·交通運輸 ·4.2萬字

QQ閱讀手機版

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