Book Image

Julia Cookbook

By : Raj R Jalem, Jalem Raj Rohit
Book Image

Julia Cookbook

By: Raj R Jalem, Jalem Raj Rohit

Overview of this book

Want to handle everything that Julia can throw at you and get the most of it every day? This practical guide to programming with Julia for performing numerical computation will make you more productive and able work with data more efficiently. The book starts with the main features of Julia to help you quickly refresh your knowledge of functions, modules, and arrays. We’ll also show you how to utilize the Julia language to identify, retrieve, and transform data sets so you can perform data analysis and data manipulation. Later on, you’ll see how to optimize data science programs with parallel computing and memory allocation. You’ll get familiar with the concepts of package development and networking to solve numerical problems using the Julia platform. This book includes recipes on identifying and classifying data science problems, data modelling, data analysis, data manipulation, meta-programming, multidimensional arrays, and parallel computing. By the end of the book, you will acquire the skills to work more effectively with your data.
Table of Contents (12 chapters)

Representation of a Julia program


In this section, you will study the life of a Julia program and how it is actually represented and interpreted by Julia. You will also learn what is meant by "a language expressing its own code as a data structure of itself."

This section will act as a foundation for learning about the concept of metaprogramming and how Julia uses it for generating code.

Getting ready

To get started with this section, you must simply have your Julia REPL up-and-running.

How to do it...

Firstly, it is very important to know that every Julia program starts out as a string. Let's consider a short program for adding two variables as our Julia code and use it to learn how Julia interprets programs:

code = "a + b"

It would look like this:

Now, if you parse the preceding string code, it would return an object of type Expression. Let's check it by actually parsing an example Julia program and checking for its type:

check = parse(code)

The output would look like this:

You will learn...