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Julia 1.0 Programming: Dynamic and High-Performance Programming to Build Fast Scientific Applications
Enter the exciting world of Julia, a high-performance language for technical computing
Key FeaturesLeverage Julia's high speed and efficiency for your applicationsWork with Julia in a multi-core, distributed, and networked environmentApply Julia to tackle problems concurrently and in a distributed environmentBook DescriptionThe 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 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.
What you will learnSet up your Julia environment to achieve high productivityCreate 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 debugging, among other usesApply Julia to tackle problems concurrentlyIntegrate Julia with other languages such as C, Python, and MATLABWho this book is forJulia 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.
Table of ContentsInstalling the Julia Platform Variables, Types, and Operations Functions Control Flow Collection Types More on Types, Methods, and Modules Metaprogramming in Julia I/O, Networking, and Parallel Computing Running External Programs The Standard Library and Packages
Key FeaturesLeverage Julia's high speed and efficiency for your applicationsWork with Julia in a multi-core, distributed, and networked environmentApply Julia to tackle problems concurrently and in a distributed environmentBook DescriptionThe 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 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.
What you will learnSet up your Julia environment to achieve high productivityCreate 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 debugging, among other usesApply Julia to tackle problems concurrentlyIntegrate Julia with other languages such as C, Python, and MATLABWho this book is forJulia 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.
Table of ContentsInstalling the Julia Platform Variables, Types, and Operations Functions Control Flow Collection Types More on Types, Methods, and Modules Metaprogramming in Julia I/O, Networking, and Parallel Computing Running External Programs The Standard Library and Packages
196 pages, Kindle Edition
Published September 24, 2018
15 people are currently reading
7 people want to read
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Displaying 1 of 1 review
November 9, 2018
Very good book. Some small formatting issues do appear, but it was not too bad. A very fast book to read get caught up to Julia and specially version 1.0
Displaying 1 of 1 review