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

Writing a simple RESTful service

HTTP, as described in the previous recipe, can be used to provide communication between different computers. The architectural style where HTTP is used to exchange tasks and information between machines is called REpresentational State Transfer (REST). The applications that can be accessed via HTTP are called web services. As using HTTP for communication is straightforward on the client side as well as the server side, this is a very common method for providing cross-system communication.

Getting ready

In this recipe, we will present two approaches. The first one is a raw implementation of a web service using only the built-in Julia functions, including the standard package,Sockets.jl. In the second approach, we will use theJuliaWebAPI.jlpackage.This package should be installed along with ZMQ.jl, which will be used for handling the incoming requests. For testing purposes, we will use HTTP.jl.

The packages can be installed simply with the Julia package manager...