Julia cookbook : over 40 recipes to get you up and running with programming using Julia / Jalem Raj Rohit.

Format:

Book

Author/Creator:

Rohit, Jalem Raj, author.

Language:

English

Subjects (All):

Programming languages (Electronic computers).

Julia (Computer program language).

Physical Description:

1 online resource (167 pages) : illustrations (some color), graphs

Edition:

1st ed.

Place of Publication:

Birmingham, England : Packt Publishing, 2016.

Biography/History:

Rohit Jalem Raj: Jalem Raj Rohit is an IIT Jodhpur graduate with a keen interest in recommender systems, machine learning, and serverless and distributed systems. Raj currently works as a senior consultantdata scienceand NLP at Episource, before which he worked at Zomato and Kayako. He contributes to open source projects in Python, Go, and Julia. He also speaks at tech conferences about serverless engineering and machine learning.

Summary:

Over 40 recipes to get you up and running with programming using JuliaAbout This Book* Follow a practical approach to learn Julia programming the easy way* Get an extensive coverage of Julia's packages for statistical analysis* This recipe-based approach will help you get familiar with the key concepts in JuliWho This Book Is ForThis book is for data scientists and data analysts who are familiar with the basics of the Julia language. Prior experience of working with high-level languages such as MATLAB, Python, R, or Ruby is expected.What You Will Learn* Extract and handle your data with Julia* Uncover the concepts of metaprogramming in Julia* Conduct statistical analysis with StatsBase.jl and Distributions.jl* Build your data science models* Find out how to visualize your data with Gadfly* Explore big data concepts in JuliaIn DetailWant 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.Style and approachThis book has a recipe-based approach to help you grasp the concepts of Julia programming.

Contents:

Julia cookbook: over 40 recipes to get you up and running with programming using Julia

Credits

About the Author

About the Reviewer

www.PacktPub.com

Table of Contents

Preface

Chapter 1: Extracting and Handling Data

Chapter 2: Metaprogramming

Chapter 3: Statistics with Julia

Chapter 4: Building Data Science Models

Chapter 5: Working with Visualizations

Chapter 6: Parallel Computing

Index.

Notes:

Includes index.

Includes bibliographical references and index.

Description based on online resource; title from PDF title page (ebrary, viewed February 28, 2017).