View in EDS PDF Full Text ePub Full Text

Julia 1.0 Programming Complete Reference Guide : Discover Julia, a High-performance Language for Technical Computing

Saved in:
Bibliographic Details
Title: Julia 1.0 Programming Complete Reference Guide : Discover Julia, a High-performance Language for Technical Computing
Description: Learn dynamic programming with Julia to build apps for data analysis, visualization, machine learning, and the webKey FeaturesLeverage Julia's high speed and efficiency to build fast, efficient applicationsPerform supervised and unsupervised machine learning and time series analysisTackle problems concurrently and in a distributed environmentBook DescriptionJulia offers the high productivity and ease of use of Python and R with the lightning-fast speed of C++. There's never been a better time to learn this language, thanks to its large-scale adoption across a wide range of domains, including fintech, biotech and artificial intelligence (AI).You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. This Learning Path walks you through two important collection types: arrays and matrices. You'll be taken through how type conversions and promotions work, and in further chapters you'll study how Julia interacts with operating systems and other languages. You'll also learn about the use of macros, what makes Julia suitable for numerical and scientific computing, and how to run external programs.Once you have grasped the basics, this Learning Path goes on to how to analyze the Iris dataset using DataFrames. While building a web scraper and a web app, you'll explore the use of functions, methods, and multiple dispatches. In the final chapters, you'll delve into machine learning, where you'll build a book recommender system.By the end of this Learning Path, you'll be well versed with Julia and have the skills you need to leverage its high speed and efficiency for your applications.This Learning Path includes content from the following Packt products:Julia 1.0 Programming - Second Edition by Ivo BalbaertJulia Programming Projects by Adrian SalceanuWhat you will learnCreate your own types to extend the built-in type systemVisualize your data in Julia with plotting packagesExplore the use of built-in macros for testing and debuggingIntegrate Julia with other languages such as C, Python, and MATLABAnalyze and manipulate datasets using Julia and DataFramesDevelop and run a web app using Julia and the HTTP packageBuild a recommendation system using supervised machine learningWho this book is forIf you are a statistician or data scientist who wants a quick course in the Julia programming language while building big data applications, this Learning Path is for you. Basic knowledge of mathematics and programming is a must.
Authors: Ivo Balbaert, Adrian Salceanu
Resource Type: eBook.
Subjects: Application software--Development, Programming languages
Categories: COMPUTERS / Programming / General, COMPUTERS / Languages / Python, COMPUTERS / Internet / Application Development
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
  – Type: ebook-epub
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 2142586
RelevancyScore: 1090
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1090.09973144531
IllustrationInfo
ImageInfo – Size: thumb
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$2142586$PDF&s=r
– Size: medium
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$2142586$PDF&s=d
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Julia 1.0 Programming Complete Reference Guide : Discover Julia, a High-performance Language for Technical Computing
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Learn dynamic programming with Julia to build apps for data analysis, visualization, machine learning, and the webKey FeaturesLeverage Julia's high speed and efficiency to build fast, efficient applicationsPerform supervised and unsupervised machine learning and time series analysisTackle problems concurrently and in a distributed environmentBook DescriptionJulia offers the high productivity and ease of use of Python and R with the lightning-fast speed of C++. There's never been a better time to learn this language, thanks to its large-scale adoption across a wide range of domains, including fintech, biotech and artificial intelligence (AI).You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. This Learning Path walks you through two important collection types: arrays and matrices. You'll be taken through how type conversions and promotions work, and in further chapters you'll study how Julia interacts with operating systems and other languages. You'll also learn about the use of macros, what makes Julia suitable for numerical and scientific computing, and how to run external programs.Once you have grasped the basics, this Learning Path goes on to how to analyze the Iris dataset using DataFrames. While building a web scraper and a web app, you'll explore the use of functions, methods, and multiple dispatches. In the final chapters, you'll delve into machine learning, where you'll build a book recommender system.By the end of this Learning Path, you'll be well versed with Julia and have the skills you need to leverage its high speed and efficiency for your applications.This Learning Path includes content from the following Packt products:Julia 1.0 Programming - Second Edition by Ivo BalbaertJulia Programming Projects by Adrian SalceanuWhat you will learnCreate your own types to extend the built-in type systemVisualize your data in Julia with plotting packagesExplore the use of built-in macros for testing and debuggingIntegrate Julia with other languages such as C, Python, and MATLABAnalyze and manipulate datasets using Julia and DataFramesDevelop and run a web app using Julia and the HTTP packageBuild a recommendation system using supervised machine learningWho this book is forIf you are a statistician or data scientist who wants a quick course in the Julia programming language while building big data applications, this Learning Path is for you. Basic knowledge of mathematics and programming is a must.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Ivo+Balbaert%22">Ivo Balbaert</searchLink><br /><searchLink fieldCode="AR" term="%22Adrian+Salceanu%22">Adrian Salceanu</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Application+software--Development%22">Application software--Development</searchLink><br /><searchLink fieldCode="DE" term="%22Programming+languages%22">Programming languages</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Programming+%2F+General%22">COMPUTERS / Programming / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Languages+%2F+Python%22">COMPUTERS / Languages / Python</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Internet+%2F+Application+Development%22">COMPUTERS / Internet / Application Development</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=2142586
RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 005.133
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Application software--Development
        Type: general
      – SubjectFull: Programming languages
        Type: general
    Titles:
      – TitleFull: Julia 1.0 Programming Complete Reference Guide : Discover Julia, a High-performance Language for Technical Computing
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ivo Balbaert
      – PersonEntity:
          Name:
            NameFull: Adrian Salceanu
      – PersonEntity:
          Name:
            NameFull: Ivo Balbaert
      – PersonEntity:
          Name:
            NameFull: Adrian Salceanu
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2019
            – D: 16
              M: 06
              Type: profile
              Y: 2021
          Identifiers:
            – Type: isbn-print
              Value: 9781838822248
            – Type: isbn-electronic
              Value: 9781838824679
          Titles:
            – TitleFull: Julia 1.0 Programming Complete Reference Guide : Discover Julia, a High-performance Language for Technical Computing
              Type: main
ResultId 1