Book Image

Learning Julia

By : Anshul Joshi, Rahul Lakhanpal
Book Image

Learning Julia

By: Anshul Joshi, Rahul Lakhanpal

Overview of this book

Julia is a highly appropriate language for scientific computing, but it comes with all the required capabilities of a general-purpose language. It allows us to achieve C/Fortran-like performance while maintaining the concise syntax of a scripting language such as Python. It is perfect for building high-performance and concurrent applications. From the basics of its syntax to learning built-in object types, this book covers it all. This book shows you how to write effective functions, reduce code redundancies, and improve code reuse. It will be helpful for new programmers who are starting out with Julia to explore its wide and ever-growing package ecosystem and also for experienced developers/statisticians/data scientists who want to add Julia to their skill-set. The book presents the fundamentals of programming in Julia and in-depth informative examples, using a step-by-step approach. You will be taken through concepts and examples such as doing simple mathematical operations, creating loops, metaprogramming, functions, collections, multiple dispatch, and so on. By the end of the book, you will be able to apply your skills in Julia to create and explore applications of any domain.
Table of Contents (17 chapters)
Title Page
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
8
Data Visualization and Graphics

What is Juno?


Juno is built on Atom. It is a powerful and free environment for the Julia language. This contains many powerful features, such as:

  • Multiple cursors
  • Fuzzy file finding
  • Vim key bindings

Juno provides an environment that combines the features of the Jupyter Notebook and the productivity of the IDE. It is very easy to use and is a completely live environment. With Atom, you can install new packages through the Settings panel or through the command line using the apm command. So, if we need to install a new package and we know its name (let's say xyz), we can just write:

$ apm install xyz

There are many apm commands, which can be read using --help command:

$ apm --help

The following screenshot shows the Juno IDE installing process through Settings. We just need to go to the Settings tab and install new packages:

It is recommended to install Juno and go through it. It is an amazing development environment and should be used when you become a little more familiar with the language. Juno will look familiar to RStudio and Yhat's Rodeo users. The following screenshot from Juno's website shows us the coding panel, plots, console, and workspace:

 

We don't have to move to newer windows just to check the plot or don't need to manually find out the variables currently in the variable.