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

Multiprocessing in Julia

Julia provides efficient mechanisms for writing programs that spawn across many processes. This mechanism is called multiprocessing. In this recipe, we show how to use Julia's multiprocessing mechanism to spawn a worker process that is killed when it takes too long to respond.

Getting ready

Mechanisms for distributed computing are built into the Julia language. Thanks to this, our recipe does not require the installation of any Julia packages. Simply start the Julia REPL.


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

How to do it...

In this example, we consider a scenario where a user wants to start up computations that take up a significant amount of time. Such computations arise for two reasons:

  • Firstly, one might want to dynamically collect information on their state
  • Secondly, a computation might be stalled, and hence it might turn out to be necessary to terminate it

Start the...