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)

Distributions


A probability distribution is when each point or subset in a randomized experiment is allotted a certain probability. So, every random experiment (and, in fact, the data of every data science experiment) follows a certain probability distribution. And the type of distribution being followed by the data is very important for initiating the analytics process, as well as for selecting the machine learning algorithms that are to be implemented. It should also be noted that, in a multivariate data set, each variable might follow a separate distribution. So, it is not necessary that all variables in a dataset follow similar distributions.

Getting ready

To get ready, the Distributions library has to be installed and imported. We install it using the Pkg.add() function, as follows:

Pkg.add("Distributions")

Then the package has to be imported for use in the session. It can be imported through the using ... command, as follows:

using Distributions

How to do it...

  1. Firstly, let's start by...