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

Chapter 1. Installing and Setting Up Julia

In this chapter, we present recipes covering the following topics:

  • Installation issues:
    • How to install Julia in different environments
    • How to compile your own Julia binaries
    • How to use Julia in the cloud in Amazon Web Services (AWS) using Cloud9
  • Basic usage of Julia:
    • The various ways you can the start-up of Julia
    • How to set up Julia to work with multiple cores
    • How to perform the standard steps comprising a daily workflow using the Julia command line (the Julia language shell also referred to as the Julia REPL)
    • How to display computational results in Julia
    • How to manage packages
  • More advanced configurations of Julia usage:
    • How to launch Julia in Jupyter Notebook
    • How to use Julia with JupyterLab
    • How to connect to Jupyter Notebook in Terminal-only cloud environments