Julia 1.0 Programming Cookbook: Over 100 numerical and distributed computing recipes for your daily data science work?ow
bDiscover the new features and widely used packages in Julia to solve complex computational problems in your statistical applications. /b h4Key Features/h4 ulliAddress the core problems of programming in Julia with the most popular packages for common tasks /li liTackle issues while working with Dat...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham
Packt Publishing Limited
2018
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Ausgabe: | 1 |
Schlagworte: | |
Zusammenfassung: | bDiscover the new features and widely used packages in Julia to solve complex computational problems in your statistical applications. /b h4Key Features/h4 ulliAddress the core problems of programming in Julia with the most popular packages for common tasks /li liTackle issues while working with Databases and Parallel data processing with Julia /li liExplore advanced features such as metaprogramming, functional programming, and user defined types /li /ul h4Book Description/h4 Julia, with its dynamic nature and high-performance, provides comparatively minimal time for the development of computational models with easy-to-maintain computational code. This book will be your solution-based guide as it will take you through different programming aspects with Julia. Starting with the new features of Julia 1.0, each recipe addresses a specific problem, providing a solution and explaining how it works. You will work with the powerful Julia tools and data structures along with the most popular Julia packages. You will learn to create vectors, handle variables, and work with functions. You will be introduced to various recipes for numerical computing, distributed computing, and achieving high performance. You will see how to optimize data science programs with parallel computing and memory allocation. We will look into more advanced concepts such as metaprogramming and functional programming. Finally, you will learn how to tackle issues while working with databases and data processing, and will learn about on data science problems, data modeling, data analysis, data manipulation, parallel processing, and cloud computing with Julia. By the end of the book, you will have acquired the skills to work more effectively with your data h4What you will learn/h4 ulliBoost your code's performance using Julia's unique features /li liOrganize data in to fundamental types of collections: arrays and dictionaries /li liOrganize data science processes within Julia and solve related problems /li liScale Julia computations with cloud computing /li liWrite data to IO streams with Julia and handle web transfer /li liDefine your own immutable and mutable types /li liSpeed up the development process using metaprogramming /li /ul h4Who this book is for/h4 This book is for developers who would like to enhance their Julia programming skills and would like to get some quick solutions to their common programming problems. Basic Julia programming knowledge is assumed |
Beschreibung: | 1 Online-Ressource (460 Seiten) |
ISBN: | 9781788998826 |
Internformat
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520 | |a bDiscover the new features and widely used packages in Julia to solve complex computational problems in your statistical applications. /b h4Key Features/h4 ulliAddress the core problems of programming in Julia with the most popular packages for common tasks /li liTackle issues while working with Databases and Parallel data processing with Julia /li liExplore advanced features such as metaprogramming, functional programming, and user defined types /li /ul h4Book Description/h4 Julia, with its dynamic nature and high-performance, provides comparatively minimal time for the development of computational models with easy-to-maintain computational code. This book will be your solution-based guide as it will take you through different programming aspects with Julia. Starting with the new features of Julia 1.0, each recipe addresses a specific problem, providing a solution and explaining how it works. | ||
520 | |a You will work with the powerful Julia tools and data structures along with the most popular Julia packages. You will learn to create vectors, handle variables, and work with functions. You will be introduced to various recipes for numerical computing, distributed computing, and achieving high performance. You will see how to optimize data science programs with parallel computing and memory allocation. We will look into more advanced concepts such as metaprogramming and functional programming. Finally, you will learn how to tackle issues while working with databases and data processing, and will learn about on data science problems, data modeling, data analysis, data manipulation, parallel processing, and cloud computing with Julia. | ||
520 | |a By the end of the book, you will have acquired the skills to work more effectively with your data h4What you will learn/h4 ulliBoost your code's performance using Julia's unique features /li liOrganize data in to fundamental types of collections: arrays and dictionaries /li liOrganize data science processes within Julia and solve related problems /li liScale Julia computations with cloud computing /li liWrite data to IO streams with Julia and handle web transfer /li liDefine your own immutable and mutable types /li liSpeed up the development process using metaprogramming /li /ul h4Who this book is for/h4 This book is for developers who would like to enhance their Julia programming skills and would like to get some quick solutions to their common programming problems. Basic Julia programming knowledge is assumed | ||
650 | 4 | |a COMPUTERS / Data Processing | |
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Datensatz im Suchindex
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author | Kaminski, Bogumil |
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spelling | Kaminski, Bogumil Verfasser aut Julia 1.0 Programming Cookbook Over 100 numerical and distributed computing recipes for your daily data science work?ow Kaminski, Bogumil 1 Birmingham Packt Publishing Limited 2018 1 Online-Ressource (460 Seiten) txt rdacontent c rdamedia cr rdacarrier bDiscover the new features and widely used packages in Julia to solve complex computational problems in your statistical applications. /b h4Key Features/h4 ulliAddress the core problems of programming in Julia with the most popular packages for common tasks /li liTackle issues while working with Databases and Parallel data processing with Julia /li liExplore advanced features such as metaprogramming, functional programming, and user defined types /li /ul h4Book Description/h4 Julia, with its dynamic nature and high-performance, provides comparatively minimal time for the development of computational models with easy-to-maintain computational code. This book will be your solution-based guide as it will take you through different programming aspects with Julia. Starting with the new features of Julia 1.0, each recipe addresses a specific problem, providing a solution and explaining how it works. You will work with the powerful Julia tools and data structures along with the most popular Julia packages. You will learn to create vectors, handle variables, and work with functions. You will be introduced to various recipes for numerical computing, distributed computing, and achieving high performance. You will see how to optimize data science programs with parallel computing and memory allocation. We will look into more advanced concepts such as metaprogramming and functional programming. Finally, you will learn how to tackle issues while working with databases and data processing, and will learn about on data science problems, data modeling, data analysis, data manipulation, parallel processing, and cloud computing with Julia. By the end of the book, you will have acquired the skills to work more effectively with your data h4What you will learn/h4 ulliBoost your code's performance using Julia's unique features /li liOrganize data in to fundamental types of collections: arrays and dictionaries /li liOrganize data science processes within Julia and solve related problems /li liScale Julia computations with cloud computing /li liWrite data to IO streams with Julia and handle web transfer /li liDefine your own immutable and mutable types /li liSpeed up the development process using metaprogramming /li /ul h4Who this book is for/h4 This book is for developers who would like to enhance their Julia programming skills and would like to get some quick solutions to their common programming problems. Basic Julia programming knowledge is assumed COMPUTERS / Data Processing COMPUTERS / Software Development & Engineering / Tools Szufel, Przemyslaw Sonstige oth |
spellingShingle | Kaminski, Bogumil Julia 1.0 Programming Cookbook Over 100 numerical and distributed computing recipes for your daily data science work?ow COMPUTERS / Data Processing COMPUTERS / Software Development & Engineering / Tools |
title | Julia 1.0 Programming Cookbook Over 100 numerical and distributed computing recipes for your daily data science work?ow |
title_auth | Julia 1.0 Programming Cookbook Over 100 numerical and distributed computing recipes for your daily data science work?ow |
title_exact_search | Julia 1.0 Programming Cookbook Over 100 numerical and distributed computing recipes for your daily data science work?ow |
title_exact_search_txtP | Julia 1.0 Programming Cookbook Over 100 numerical and distributed computing recipes for your daily data science work?ow |
title_full | Julia 1.0 Programming Cookbook Over 100 numerical and distributed computing recipes for your daily data science work?ow Kaminski, Bogumil |
title_fullStr | Julia 1.0 Programming Cookbook Over 100 numerical and distributed computing recipes for your daily data science work?ow Kaminski, Bogumil |
title_full_unstemmed | Julia 1.0 Programming Cookbook Over 100 numerical and distributed computing recipes for your daily data science work?ow Kaminski, Bogumil |
title_short | Julia 1.0 Programming Cookbook |
title_sort | julia 1 0 programming cookbook over 100 numerical and distributed computing recipes for your daily data science work ow |
title_sub | Over 100 numerical and distributed computing recipes for your daily data science work?ow |
topic | COMPUTERS / Data Processing COMPUTERS / Software Development & Engineering / Tools |
topic_facet | COMPUTERS / Data Processing COMPUTERS / Software Development & Engineering / Tools |
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