Book Image

Julia 1.0 Programming Cookbook

By : Bogumił Kamiński, Przemysław Szufel
Book Image

Julia 1.0 Programming Cookbook

By: Bogumił Kamiński, Przemysław Szufel

Overview of this book

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
Table of Contents (18 chapters)
Title Page
Copyright and Credits
About Packt

Managing streams, and reading and writing files

Each process in an operating system can interact with the data available on different devices connected to the operating system. Sample devices include files or network connections. Interaction with devices is done viastreams. A stream is a logical representation of a data transfer state.

In this recipe, we will show how to interact with the built-in system streams, as well as file streams, in Julia.

Getting ready

The way a program exchanges data with its environment is often called I/O, which stands for input/output. I/O operations are built into the Julia language. Hence, none of the typical installations is required to run these recipes; simply open the Julia command-line console. 


In the GitHub repository for this recipe, you will find the commands.txt file, which contains the presented sequence of shell and Julia commands.

How to do it...

In this example, we will consider two cases—interacting with built-in process streams, and reading and...