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Mastering Java for Data Science
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Mastering Java for Data Science

ThisbookisintendedforsoftwareengineerswhoarecomfortablewithdevelopingJavaapplicationsandarefamiliarwiththebasicconceptsofdatascience.Additionally,itwillalsobeusefulfordatascientistswhodonotyetknowJavabutwantorneedtolearnit.Ifyouarewillingtobuildefficientdatascienceapplicationsandbringthemintheenterpriseenvironmentwithoutchangingtheexistingstack,thisbookisforyou!

Alexey Grigorev ·數(shù)據(jù)庫(kù) ·8.3萬(wàn)字

Lean Mobile App Development
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Lean Mobile App Development

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

Mike van Drongelen Adam Dennis Richard Garabedian Alberto Gonzalez Aravind Krishnaswamy ·數(shù)據(jù)庫(kù) ·8.8萬(wàn)字

Reactive Programming in Kotlin
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Reactive Programming in Kotlin

ThisbookisforKotlindeveloperswhowouldliketobuildfault-tolerant,scalable,anddistributedsystems.AbasicknowledgeofKotlinisrequired,butnopriorknowledgeofreactiveprogramming.

Rivu Chakraborty ·數(shù)據(jù)庫(kù) ·5.2萬(wàn)字

Git Essentials（Second Edition）
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Git Essentials（Second Edition）

Ifyouareasoftwaredeveloperwithlittleornoexperienceofversioningsystems,oryouarefamiliarwithothercentralizedversioningsystems,thenthisbookisforyou.IfyouhaveexperienceinserverandsystemmanagementandneedtobroadenyouruseofGitfromaDevOpsperspective,thisbookcontainseverythingyouneed.

Ferdinando Santacroce ·數(shù)據(jù)庫(kù) ·4.6萬(wàn)字

Hands-On Design Patterns with Swift
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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.

Florent Vilmart Giordano Scalzo Sergio De Simone ·數(shù)據(jù)庫(kù) ·8.6萬(wàn)字

Hands-On System Programming with C++
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Hands-On System Programming with C++

C++isageneral-purposeprogramminglanguagewithabiastowardsystemprogrammingasitprovidesreadyaccesstohardware-levelresources,efficientcompilation,andaversatileapproachtohigher-levelabstractions.ThisbookwillhelpyouunderstandthebenefitsofsystemprogrammingwithC++17.YouwillgainafirmunderstandingofvariousC,C++,andPOSIXstandards,aswellastheirrespectivesystemtypesforbothC++andPOSIX.AfterabriefrefresheronC++,ResourceAcquisitionIsInitialization(RAII),andthenewC++GuidelineSupportLibrary(GSL),youwilllearntoprogramLinuxandUnixsystemsalongwithprocessmanagement.Asyouprogressthroughthechapters,youwillbecomeacquaintedwithC++'ssupportforIO.Youwillthenstudyvariousmemorymanagementmethods,includingachapteronallocatorsandhowtheybenefitsystemprogramming.YouwillalsoexplorehowtoprogramfileinputandoutputandlearnaboutPOSIXsockets.ThisbookwillhelpyougettogripswithsafelysettingupaUDPandTCPserver/client.Finally,youwillbeguidedthroughUnixtimeinterfaces,multithreading,anderrorhandlingwithC++exceptions.Bytheendofthisbook,youwillbecomfortablewithusingC++toprogramhigh-qualitysystems.

Dr. Rian Quinn ·數(shù)據(jù)庫(kù) ·10.4萬(wàn)字

Machine Learning for Mobile
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Machine Learning for Mobile

Machinelearningpresentsanentirelyuniqueopportunityinsoftwaredevelopment.Itallowssmartphonestoproduceanenormousamountofusefuldatathatcanbemined,analyzed,andusedtomakepredictions.Thisbookwillhelpyoumastermachinelearningformobiledeviceswitheasy-to-follow,practicalexamples.Youwillbeginwithanintroductiontomachinelearningonmobilesandgraspthefundamentalssoyoubecomewell-acquaintedwiththesubject.Youwillmastersupervisedandunsupervisedlearningalgorithms,andthenlearnhowtobuildamachinelearningmodelusingmobile-basedlibrariessuchasCoreML,TensorFlowLite,MLKit,andFritzonAndroidandiOSplatforms.Indoingso,youwillalsotacklesomecommonandnot-so-commonmachinelearningproblemswithregardtoComputerVisionandotherreal-worlddomains.Bytheendofthisbook,youwillhaveexploredmachinelearningindepthandimplementedon-devicemachinelearningwithease,therebygainingathoroughunderstandingofhowtorun,create,andbuildreal-timemachine-learningapplicationsonyourmobiledevices.

Revathi Gopalakrishnan Avinash Venkateswarlu ·數(shù)據(jù)庫(kù) ·5.1萬(wàn)字

Hands-On Data Structures and Algorithms with Rust
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Hands-On Data Structures and Algorithms with Rust

Rusthascomealongwayandisnowutilizedinseveralcontexts.Itskeystrengthsareitssoftwareinfrastructureandresource-constrainedapplications,includingdesktopapplications,servers,andperformance-criticalapplications,notforgettingitsimportanceinsystems'programming.ThisbookwillbeyourguideasittakesyouthroughimplementingclassicdatastructuresandalgorithmsinRust,helpingyoutogetupandrunningasaconfidentRustprogrammer.ThebookbeginswithanintroductiontoRustdatastructuresandalgorithms,whilealsocoveringessentiallanguageconstructs.Youwilllearnhowtostoredatausinglinkedlists,arrays,stacks,andqueues.Youwillalsolearnhowtoimplementsortingandsearchingalgorithms.Youwilllearnhowtoattainhighperformancebyimplementingalgorithmstostringdatatypesandimplementhashstructuresinalgorithmdesign.Thebookwillexaminealgorithmanalysis,includingBruteForcealgorithms,Greedyalgorithms,DivideandConqueralgorithms,DynamicProgramming,andBacktracking.Bytheendofthebook,youwillhavelearnedhowtobuildcomponentsthatareeasytounderstand,debug,anduseindifferentapplications.

Claus Matzinger ·數(shù)據(jù)庫(kù) ·6.6萬(wàn)字

Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide
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Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide

CognitiveToolkitisaverypopularandrecentlyopensourceddeeplearningtoolkitbyMicrosoft.CognitiveToolkitisusedtotrainfastandeffectivedeeplearningmodels.ThisbookwillbeaquickintroductiontousingCognitiveToolkitandwillteachyouhowtotrainandvalidatedifferenttypesofneuralnetworks,suchasconvolutionalandrecurrentneuralnetworks.Thisbookwillhelpyouunderstandthebasicsofdeeplearning.YouwilllearnhowtouseMicrosoftCognitiveToolkittobuilddeeplearningmodelsanddiscoverwhatmakesthisframeworkuniquesothatyouknowwhentouseit.Thisbookwillbeaquick,no-nonsenseintroductiontothelibraryandwillteachyouhowtotraindifferenttypesofneuralnetworks,suchasconvolutionalneuralnetworks,recurrentneuralnetworks,autoencoders,andmore,usingCognitiveToolkit.Thenwewilllookattwoscenariosinwhichdeeplearningcanbeusedtoenhancehumancapabilities.Thebookwillalsodemonstratehowtoevaluateyourmodels'performancetoensureittrainsandrunssmoothlyandgivesyouthemostaccurateresults.Finally,youwillgetashortoverviewofhowCognitiveToolkitfitsintoaDevOpsenvironment.

Willem Meints ·數(shù)據(jù)庫(kù) ·4.9萬(wàn)字

Feature Engineering Made Easy
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Feature Engineering Made Easy

Ifyouareadatascienceprofessionaloramachinelearningengineerlookingtostrengthenyourpredictiveanalyticsmodel,thenthisbookisaperfectguideforyou.SomebasicunderstandingofthemachinelearningconceptsandPythonscriptingwouldbeenoughtogetstartedwiththisbook.

Sinan Ozdemir Divya Susarla ·數(shù)據(jù)庫(kù) ·6.4萬(wàn)字

TypeScript Microservices
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TypeScript Microservices

ThisbookisforJavaScriptdevelopersseekingtoutilizetheirNode.jsandTypescriptskillstobuildmicroservicesandmoveawayfromthemonolithicarchitecture.PriorknowledgeofTypeScriptandNode.jsisassumed.

Parth Ghiya ·數(shù)據(jù)庫(kù) ·9.6萬(wàn)字

Hands-On High Performance with Spring 5
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Hands-On High Performance with Spring 5

Ifyou’reaSpringdeveloperwho’dliketobuildhighperformanceapplicationsandhavemorecontroloveryourapplication'sperformanceinproductionanddevelopment,thisbookisforyou.SomefamiliaritywithJava,Maven,andEclipseisnecessary.

Chintan Mehta Subhash Shah Pritesh Shah Prashant Goswami Dinesh Radadiya ·數(shù)據(jù)庫(kù) ·7.8萬(wàn)字

Spring Boot 2.0 Cookbook（Second Edition）
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Spring Boot 2.0 Cookbook（Second Edition）

ThisbookisforJavaDeveloperswhohavegoodknowledgeandunderstandingofSpringandJavaapplicationdevelopment.

Alex Antonov ·數(shù)據(jù)庫(kù) ·6.1萬(wàn)字

Delphi High Performance
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Delphi High Performance

ThisbookisforDelphideveloperswhowouldliketobuildhighperformanceapplicationswithDelphi.PriorknowledgeofDelphiisassumed.

Primo? Gabrijelcic ·數(shù)據(jù)庫(kù) ·8.6萬(wàn)字

Hands-On Big Data Analytics with PySpark
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Hands-On Big Data Analytics with PySpark

ApacheSparkisanopensourceparallel-processingframeworkthathasbeenaroundforquitesometimenow.OneofthemanyusesofApacheSparkisfordataanalyticsapplicationsacrossclusteredcomputers.Inthisbook,youwillnotonlylearnhowtouseSparkandthePythonAPItocreatehigh-performanceanalyticswithbigdata,butalsodiscovertechniquesfortesting,immunizing,andparallelizingSparkjobs.Youwilllearnhowtosourcedatafromallpopulardatahostingplatforms,includingHDFS,Hive,JSON,andS3,anddealwithlargedatasetswithPySparktogainpracticalbigdataexperience.Thisbookwillhelpyouworkonprototypesonlocalmachinesandsubsequentlygoontohandlemessydatainproductionandatscale.ThisbookcoversinstallingandsettingupPySpark,RDDoperations,bigdatacleaningandwrangling,andaggregatingandsummarizingdataintousefulreports.YouwillalsolearnhowtoimplementsomepracticalandproventechniquestoimprovecertainaspectsofprogrammingandadministrationinApacheSpark.Bytheendofthebook,youwillbeabletobuildbigdataanalyticalsolutionsusingthevariousPySparkofferingsandalsooptimizethemeffectively.

Rudy Lai Bart?omiej Potaczek ·數(shù)據(jù)庫(kù) ·3.6萬(wàn)字

Expert Python Programming（Third Edition）
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Expert Python Programming（Third Edition）

Pythonisadynamicprogramminglanguagethat'susedinawiderangeofdomainsthankstoitssimpleyetpowerfulnature.AlthoughwritingPythoncodeiseasy,makingitreadable,reusable,andeasytomaintainischallenging.Completewithbestpractices,usefultools,andstandardsimplementedbyprofessionalPythondevelopers,thethirdeditionofExpertPythonProgrammingwillhelpyouovercomethischallenge.ThebookwillstartbytakingyouthroughthenewfeaturesinPython3.7.You'llthenlearntheadvancedcomponentsofPythonsyntax,inadditiontounderstandinghowtoapplyconceptsofvariousprogrammingparadigms,includingobject-orientedprogramming,functionalprogramming,andevent-drivenprogramming.Thisbookwillalsoguideyouthroughlearningthebestnamingpractices,writingyourowndistributablePythonpackages,andgettinguptospeedwithautomatedwaysofdeployingyoursoftwareonremoteservers.You’lldiscoverhowtocreateusefulPythonextensionswithC,C++,Cython,andCFFI.Furthermore,studyingaboutcodemanagementtools,writingcleardocumentation,andexploringtest-drivendevelopmentwillhelpyouwritecleancode.Bytheendofthebook,youwillhavebecomeanexpertinwritingefficientandmaintainablePythoncode.

Micha? Jaworski Tarek Ziadé ·數(shù)據(jù)庫(kù) ·16.4萬(wàn)字

Practical Data Analysis Using Jupyter Notebook
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Practical Data Analysis Using Jupyter Notebook

Dataliteracyistheabilitytoread,analyze,workwith,andargueusingdata.Dataanalysisistheprocessofcleaningandmodelingyourdatatodiscoverusefulinformation.Thisbookcombinesthesetwoconceptsbysharingproventechniquesandhands-onexamplessothatyoucanlearnhowtocommunicateeffectivelyusingdata.AfterintroducingyoutothebasicsofdataanalysisusingJupyterNotebookandPython,thebookwilltakeyouthroughthefundamentalsofdata.Packedwithpracticalexamples,thisguidewillteachyouhowtoclean,wrangle,analyze,andvisualizedatatogainusefulinsights,andyou'lldiscoverhowtoanswerquestionsusingdatawitheasy-to-followsteps.Laterchaptersteachyouaboutstorytellingwithdatausingcharts,suchashistogramsandscatterplots.Asyouadvance,you'llunderstandhowtoworkwithunstructureddatausingnaturallanguageprocessing(NLP)techniquestoperformsentimentanalysis.Alltheknowledgeyougainwillhelpyoudiscoverkeypatternsandtrendsindatausingreal-worldexamples.Inadditiontothis,youwilllearnhowtohandledataofvaryingcomplexitytoperformefficientdataanalysisusingmodernPythonlibraries.Bytheendofthisbook,you'llhavegainedthepracticalskillsyouneedtoanalyzedatawithconfidence.

Marc Wintjen Andrew Vlahutin ·數(shù)據(jù)庫(kù) ·6.9萬(wàn)字

Hadoop 3實(shí)戰(zhàn)指南
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Hadoop 3實(shí)戰(zhàn)指南

本書主要分析Hadoop3.2.0的新特性和新功能，共5章。首先簡(jiǎn)單介紹Hadoop，讓剛接觸Hadoop的讀者對(duì)它有個(gè)基本了解；接著介紹目前使用比較多的分布式文件系統(tǒng)HDFS，內(nèi)容涉及NameNode的原理、HA、HDFSFederation和HDFS3.0中新增的特性；然后從應(yīng)用管理和資源調(diào)度這兩個(gè)方面介紹一個(gè)通用的資源管理平臺(tái)YARN；再后討論如何在YARN平臺(tái)中運(yùn)行應(yīng)用，比如如何將應(yīng)用遷移到Y(jié)ARN平臺(tái)，以及非Hadoop的應(yīng)用是如何兼容YARN模式的。最后，書中給出了一些工作實(shí)戰(zhàn)指南，包括如何搭建一個(gè)生產(chǎn)可用的Hadoop3.0集群；如何將現(xiàn)有Hadoop2.0集群升級(jí)到Hadoop3.0，及其在升級(jí)過(guò)程中遇到的問(wèn)題；如何針對(duì)Hadoop進(jìn)行二次開發(fā)，并參與社區(qū)，向社區(qū)貢獻(xiàn)代碼；一個(gè)大數(shù)據(jù)平臺(tái)應(yīng)具備哪些必備組件等。

孫志偉 ·數(shù)據(jù)庫(kù) ·8.3萬(wàn)字

Computer Programming for Absolute Beginners
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Computer Programming for Absolute Beginners

Learninghowtocodehasmanyadvantages,andgainingtherightprogrammingskillscanhaveamassiveimpactonwhatyoucandowithyourcurrentskillsetandthewayyouadvanceinyourcareer.Thisbookwillbeyourguidetolearningcomputerprogrammingeasily,helpingyouovercomethedifficultiesinunderstandingthemajorconstructsinanymainstreamprogramminglanguage.ComputerProgrammingforAbsoluteBeginnersstartsbytakingyouthroughthebuildingblocksofanyprogramminglanguagewiththoroughexplanationsandrelevantexamplesinpseudocode.You'llunderstandtherelationshipbetweencomputerprogramsandprogramminglanguagesandhowcodeisexecutedonthecomputer.Thebookthenfocusesonthedifferenttypesofapplicationsthatyoucancreatewithyourprogrammingknowledge.You'lldelveintoprogrammingconstructs,learningallaboutstatements,operators,variables,anddatatypes.Asyouadvance,you'llseehowtocontroltheflowofyourprogramsusingcontrolstructuresandreuseyourcodeusingfunctions.Finally,you'llexplorebestpracticesthatwillhelpyouwritecodelikeapro.Bytheendofthisbook,you'llbepreparedtolearnanyprogramminglanguageandtakecontrolofyourcareerbyaddingcodingtoyourskillset.

Joakim Wassberg ·數(shù)據(jù)庫(kù) ·10.7萬(wàn)字

Live Longer with AI
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Live Longer with AI

LiveLongerwithAIexamineshowthelatestcutting-edgedevelopmentsarehelpingustolivelonger,healthierandbettertoo.Itcompelsustostopthinkingthathealthisabouttreatingdiseaseandstartregardingitasourgreatestpersonalandsocietalassettoprotect.ThebookdiscussestheimpactthatAIhasonunderstandingthecellularbasisofagingandhowourgenesareinfluencedbyourenvironment–withthepandemichighlightingtheinterconnectednessofhumanandplanetaryhealth.AuthorTinaWoods,founderandCEOofColliderHealthandColliderScience,andtheco-founderofLongevityInternational,hascuratedapanelofdeeplyinsightfulinterviewswithsomeoftoday’sbrightestandmostinnovativethoughtleadersatthecrossroadsofhealth,technologyandsociety.Readwhatleadingexpertsinhealthandtechnologyaresayingaboutthebook:"Thisisahandbookfortherevolution!"—SirMuirGray,Director,OptimalAgeing."Youcanlivelongerandbehappierifyoumakesomechanges–thatisthethemeofthisbook.Well-writtenandcompelling."—BenPage,CEO,IpsosMori."Tina'sbookisamust-readforthosewhowanttodiscoverthefutureofhealth."—JoséLuisCordeiro,Fellow,WorldAcademyofArt&Science;Director,TheMillenniumProject;ViceChair,HumanityPlus;Co-AuthorofTheDeathofDeath.Abouttheconsultanteditor.MelissaReamisaleadinghealthandcarestrategistintheUK,leveraginguser-drivendesignandartificialintelligencetodesignsystemsandsupportpeopletolivehealthier,longerlives.

Tina Woods Melissa Ream Andrew Scott ·數(shù)據(jù)庫(kù) ·18.2萬(wàn)字

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