Julia 1.0 Programming Cookbook: Over 100 numerical and distributed computing recipes for your daily data science workflow

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Julia 1.0 Programming Cookbook: Over 100 numerical and distributed computing recipes for your daily data science workflow

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內容描述

Discover the new features and widely used packages in Julia to solve complex computational problems in your statistical applications.Key FeaturesAddress the core problems of programming in Julia with the most popular packages for common tasksTackle issues while working with Databases and Parallel data processing with JuliaExplore advanced features such as metaprogramming, functional programming, and user defined typesBook DescriptionJulia programming language with its dynamic nature and high-performance provides comparatively minimum time for development of computational models with easy to maintain computational code. Julia 1.0 Programming Cookbook 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, with a discussion that explains the solution and offers insight into 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 with various recipes for numerical computing, distributed computing and achieving high performance. You'll see how to optimize data science programs with parallel computing and memory allocation. Moving forward, we will look into more advanced concepts such as Metaprogramming and Functional Programming. Finally, you will learn to tackle issues while working with Databases and Data processing and will learn recipes on data science problems, data modeling, data analysis, data manipulation, parallel processing, cloud computing with Julia.By the end of the book, you will acquire the skills to work more effectively with your data.What you will learnBoost the code performance using Julia's unique featuresOrganize data in fundamental types of collections: arrays, dictionariesOrganize data science process within Julia and solve related problemsScale Julia computations with cloud computingWrite data to IO streams with Julia and to handle web transferHow to define own immutable and mutable typesSpeed-up the development process using metaprogramming Who This Book Is ForThis 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.