教程-From Data Science to Production with Kotlin: The Basics
MP4|Video:AVC1440x1080|Audio:AAC48KHz1ch|Duration:1H55M| 
Genre:eLearning|Language:English

KotlinisaJVMplatformlanguagethatfillstwopracticaldatascienceneeds:youcanuseittoprototypemodelsquickly,theneffectivelymovethosemodelsintoproduction.Datasciencevalueslanguagesthatprovideafastturnaround.ThisiswhyRandPythonaretheusuallanguagechoicesforthedatasciencedomain.However,asdatasciencecontinuestointegrateintomainstreamsoftwaredevelopmentworkflows,agaphasappeared.It'sonethingtohacktogetheraproof-of-conceptmodel;it'sanothertomoveitintothe“businessisevolvingandmodelsmustberefactored”worldofproduction.Kotlinclosesthegap.BackedbyJetbrainsandGoogle,Kotlinexpandsonthesimplicity,conciseness,andeleganceofPython,butcarriesthepower,robustness,andscalabilityofJavaandScala.Inthiscourse,you'llgetadetailedoverviewofKotlinanddiscoverwhyit'sbecomingthego-topracticallanguageofchoiceforproduction-orienteddatascientistsandengineers.LearnersshouldhaveIntellijIDEAandJDK,Pythonexperience,andalittleexperiencewithbasicanalytics(Pandas,R,Excel,SQL,etc.).

LearnaboutKotlin,theemerginglanguageofchoicefordatascienceandanalytics
Understandthedatasciencesoftware-engineeringgapandseehowKotlincancloseit
DiscoverhowwellKotlinmovesmodelsfromproof-of-concepttoproduction
MasterthedistinctionsamongKotlin,Scala,andPython;thenseewhydataengineerschooseKotlin
LearnhowtoutilizeKotlin’stoolingandenvironmentwithIntellijIDEA
DiscoverhowKotlin’sinnovativenullabletypesystemavoidsnull-relatedruntimeerrors
Explorehowstatictypingandobject-orientedprogrammingmakeclear,bugresistantmodels
GainexperienceusingKotlinfordatasciencepurposeslikefunctionsanddataclasses
ThomasNieldisasenior-levelbusinessanalystforSouthwestAirlineswherehe'sdevelopedmultiplereactiveapplicationsthatgeneraterevenuefortheentireairlinenetwork.AmasterprogrammerworkinginJava,Kotlin,ReactiveX,Python,anddatabasedesign,ThomaswritesapopularblogcoveringReactiveXconcepts,maintainsRxJavaFXandRxKotlinFX,andistheauthoroftheO'ReillytitleGettingStartedwithSQL.