Julia 1.0 Programming Cookbook: Over 100 numerical and distributed computing recipes for your daily data science workflow
Authors: Bogumil Kaminski – Przemyslaw Szufel
ISBN-10: 1788998367
ISBN-13: 9781788998369
Released: 2018-11-29
Print Length 页数: 460 pages
Book Description
More Information
Learn
Boost your code’s performance using Julia’s unique features
Organize data in to fundamental types of collections: arrays and dictionaries
Organize data science processes within Julia and solve related problems
Scale Julia computations with cloud computing
Write data to IO streams with Julia and handle web transfer
Define your own immutable and mutable types
Speed up the development process using metaprogramming
About
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
Features
Address the core problems of programming in Julia with the most popular packages for common tasks
Tackle issues while working with Databases and Parallel data processing with Julia
Explore advanced features such as metaprogramming,functional programming,and user defined types
contents
1 Installing and Setting Up Julia
2 Data Structures and Algorithms
3 Data Engineering in Julia
4 Numerical Computing with Julia
5 Variables,Types,and Functions
6 Metaprogramming and Advanced Typing
7 Handling Analytical Data
8 Julia Workflow
9 Data Science
10 Distributed Computing
