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

Julia development workflow with Revise.jl

In this recipe, we describe how to organize the module development process in Julia using theRevise.jlpackage. A Julia program contains several functions that are normally aggregated intomodules. On one hand, the process of module development and testing usually involves experimenting with the code in the Julia command line.However, every time a change is made in one of the functions within a module, it requires reloading the entire module. This is inconvenient because as well as having to remember to reload the module, you will need to do it after every single change to your code. Additionally, for large modules, reloading an entire module may take a significant amount of time. A remedy for this problem is theRevise.jlpackage.

Getting ready

In this recipe, we assume that you have configured your favorite programming environment.

Revisecan simply be installed with the Julia package manager. In the Julia command line, press the] key and run the following...