Julia 1.0 Programming: Dynamic and high-performance programming to build fast scientific applications
bEnter the exciting world of Julia, a high-performance language for technical computing/b h4Key Features/h4 ulliLeverage Julia's high speed and efficiency for your applications /li liWork with Julia in a multi-core, distributed, and networked environment /li liApply Julia to tackle problems con...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2018
|
| Ausgabe: | 2 |
| Schlagworte: | |
| Zusammenfassung: | bEnter the exciting world of Julia, a high-performance language for technical computing/b h4Key Features/h4 ulliLeverage Julia's high speed and efficiency for your applications /li liWork with Julia in a multi-core, distributed, and networked environment /li liApply Julia to tackle problems concurrently and in a distributed environment /li /ul h4Book Description/h4 The release of Julia 1.0 is now ready to change the technical world by combining the high productivity and ease of use of Python and R with the lightning-fast speed of C++. Julia 1.0 programming gives you a head start in tackling your numerical and data problems. You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. With the help of practical examples, this book walks you through two important collection types: arrays and matrices. In addition to this, you will be taken through how type conversions and promotions work. In the course of the book, you will be introduced to the homo-iconicity and metaprogramming concepts in Julia. You will understand how Julia provides different ways to interact with an operating system, as well as other languages, and then you'll discover what macros are. Once you have grasped the basics, you'll study what makes Julia suitable for numerical and scientific computing, and learn about the features provided by Julia. By the end of this book, you will also have learned how to run external programs. This book covers all you need to know about Julia in order to leverage its high speed and efficiency for your applications. h4What you will learn/h4 ulliSet up your Julia environment to achieve high productivity /li liCreate your own types to extend the built-in type system /li liVisualize your data in Julia with plotting packages /li liExplore the use of built-in macros for testing and debugging, among other uses /li liApply Julia to tackle problems concurrently /li liIntegrate Julia with other languages such as C, Python, and MATLAB /li /ul h4Who this book is for/h4 Julia 1.0 Programming is for you if you are a statistician or data scientist who wants a crash course in the Julia programming language while building big data applications. A basic knowledge of mathematics is needed to understand the various methods that are used or created during the course of the book to exploit the capabilities that Julia is designed with |
| Beschreibung: | 1 Online-Ressource (196 Seiten) |
| ISBN: | 9781788990059 |
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| 520 | |a bEnter the exciting world of Julia, a high-performance language for technical computing/b h4Key Features/h4 ulliLeverage Julia's high speed and efficiency for your applications /li liWork with Julia in a multi-core, distributed, and networked environment /li liApply Julia to tackle problems concurrently and in a distributed environment /li /ul h4Book Description/h4 The release of Julia 1.0 is now ready to change the technical world by combining the high productivity and ease of use of Python and R with the lightning-fast speed of C++. Julia 1.0 programming gives you a head start in tackling your numerical and data problems. You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. With the help of practical examples, this book walks you through two important collection types: arrays and matrices. In addition to this, you will be taken through how type conversions and promotions work. | ||
| 520 | |a In the course of the book, you will be introduced to the homo-iconicity and metaprogramming concepts in Julia. You will understand how Julia provides different ways to interact with an operating system, as well as other languages, and then you'll discover what macros are. Once you have grasped the basics, you'll study what makes Julia suitable for numerical and scientific computing, and learn about the features provided by Julia. By the end of this book, you will also have learned how to run external programs. This book covers all you need to know about Julia in order to leverage its high speed and efficiency for your applications. | ||
| 520 | |a h4What you will learn/h4 ulliSet up your Julia environment to achieve high productivity /li liCreate your own types to extend the built-in type system /li liVisualize your data in Julia with plotting packages /li liExplore the use of built-in macros for testing and debugging, among other uses /li liApply Julia to tackle problems concurrently /li liIntegrate Julia with other languages such as C, Python, and MATLAB /li /ul h4Who this book is for/h4 Julia 1.0 Programming is for you if you are a statistician or data scientist who wants a crash course in the Julia programming language while building big data applications. A basic knowledge of mathematics is needed to understand the various methods that are used or created during the course of the book to exploit the capabilities that Julia is designed with | ||
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| index_date | 2024-07-03T16:13:33Z |
| indexdate | 2024-07-10T09:01:43Z |
| institution | BVB |
| isbn | 9781788990059 |
| language | English |
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| spelling | Balbaert, Ivo Verfasser aut Julia 1.0 Programming Dynamic and high-performance programming to build fast scientific applications Balbaert, Ivo 2 Birmingham Packt Publishing Limited 2018 1 Online-Ressource (196 Seiten) txt rdacontent c rdamedia cr rdacarrier bEnter the exciting world of Julia, a high-performance language for technical computing/b h4Key Features/h4 ulliLeverage Julia's high speed and efficiency for your applications /li liWork with Julia in a multi-core, distributed, and networked environment /li liApply Julia to tackle problems concurrently and in a distributed environment /li /ul h4Book Description/h4 The release of Julia 1.0 is now ready to change the technical world by combining the high productivity and ease of use of Python and R with the lightning-fast speed of C++. Julia 1.0 programming gives you a head start in tackling your numerical and data problems. You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. With the help of practical examples, this book walks you through two important collection types: arrays and matrices. In addition to this, you will be taken through how type conversions and promotions work. In the course of the book, you will be introduced to the homo-iconicity and metaprogramming concepts in Julia. You will understand how Julia provides different ways to interact with an operating system, as well as other languages, and then you'll discover what macros are. Once you have grasped the basics, you'll study what makes Julia suitable for numerical and scientific computing, and learn about the features provided by Julia. By the end of this book, you will also have learned how to run external programs. This book covers all you need to know about Julia in order to leverage its high speed and efficiency for your applications. h4What you will learn/h4 ulliSet up your Julia environment to achieve high productivity /li liCreate your own types to extend the built-in type system /li liVisualize your data in Julia with plotting packages /li liExplore the use of built-in macros for testing and debugging, among other uses /li liApply Julia to tackle problems concurrently /li liIntegrate Julia with other languages such as C, Python, and MATLAB /li /ul h4Who this book is for/h4 Julia 1.0 Programming is for you if you are a statistician or data scientist who wants a crash course in the Julia programming language while building big data applications. A basic knowledge of mathematics is needed to understand the various methods that are used or created during the course of the book to exploit the capabilities that Julia is designed with COMPUTERS / Data Processing COMPUTERS / Software Development & Engineering / Tools |
| spellingShingle | Balbaert, Ivo Julia 1.0 Programming Dynamic and high-performance programming to build fast scientific applications COMPUTERS / Data Processing COMPUTERS / Software Development & Engineering / Tools |
| title | Julia 1.0 Programming Dynamic and high-performance programming to build fast scientific applications |
| title_auth | Julia 1.0 Programming Dynamic and high-performance programming to build fast scientific applications |
| title_exact_search | Julia 1.0 Programming Dynamic and high-performance programming to build fast scientific applications |
| title_exact_search_txtP | Julia 1.0 Programming Dynamic and high-performance programming to build fast scientific applications |
| title_full | Julia 1.0 Programming Dynamic and high-performance programming to build fast scientific applications Balbaert, Ivo |
| title_fullStr | Julia 1.0 Programming Dynamic and high-performance programming to build fast scientific applications Balbaert, Ivo |
| title_full_unstemmed | Julia 1.0 Programming Dynamic and high-performance programming to build fast scientific applications Balbaert, Ivo |
| title_short | Julia 1.0 Programming |
| title_sort | julia 1 0 programming dynamic and high performance programming to build fast scientific applications |
| title_sub | Dynamic and high-performance programming to build fast scientific applications |
| topic | COMPUTERS / Data Processing COMPUTERS / Software Development & Engineering / Tools |
| topic_facet | COMPUTERS / Data Processing COMPUTERS / Software Development & Engineering / Tools |
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