Julia Cookbook: Over 40 recipes to get you up and running with programming using Julia

Cover....1

Copyright....3

Credits....4

About the Author....5

About the Reviewer....6

www.PacktPub.com....7

Table of Contents....8

Preface....13

Chapter 1: Extracting and Handling Data....18

Introduction....18

Why should we use Julia for data science?....18

Handling data with CSV files....20

Getting ready....21

How to do it…....21

Handling data with TSV files....22

Getting ready....22

How to do it…....22

Working with databases in Julia....23

Getting ready....23

How to do it…....24

MySQL....24

PostgreSQL....26

There's more…....28

MySQL....28

PostgreSQL....28

SQLite....28

Interacting with the Web....28

Getting ready....29

How to do it…....29

GET request....30

There's more…....31

Chapter 2: Metaprogramming....32

Introduction....32

Representation of a Julia program....33

Getting ready....33

How to do it…....33

How it works…....37

There's more....38

Symbols and expressions....38

Symbols....38

Getting ready....39

How to do it…....39

How it works…....40

There's more....41

Quoting....41

How to do it…....41

How it works…....42

Interpolation....43

How to do it…....43

How it works…....44

There's more....45

The Eval function....45

Getting ready....45

How to do it…....45

How it works…....47

Macros....48

Getting ready....48

How to do it…....48

How it works…....50

Metaprogramming with DataFrames....51

Getting ready....51

How to do it…....51

How it works…....55

Chapter 3: Statistics with Julia....56

Introduction....56

Basic statistics concepts....56

Getting ready....56

How to do it…....56

How it works…....59

Descriptive statistics....60

Getting ready....60

How to do it…....61

How it works…....67

Deviation metrics....68

Getting ready....68

How to do it…....68

How it works…....72

Sampling....72

Getting ready....72

How to do it…....72

How it works…....77

Correlation analysis....79

Getting ready....79

How to do it…....79

How it works…....83

Chapter 4: Building Data Science Models....85

Introduction....85

Dimensionality reduction....85

Getting ready....86

How to do it…....86

How it works…....89

Linear discriminant analysis....90

Getting ready....90

How to do it…....90

How it works…....94

Data preprocessing....95

Getting ready....96

How to do it…....96

How it works…....100

Linear regression....101

Getting ready....101

How to do it…....101

How it works…....103

Classification....104

Getting ready....104

How to do it…....104

How it works…....106

Performance evaluation and model selection....106

Getting ready....107

How to do it…....107

How it works…....109

Cross validation....110

Getting ready....110

How to do it…....111

How it works…....112

Distances....113

Getting ready....113

How to do it…....113

How it works…....116

Distributions....117

Getting ready....117

How to do it…....117

How it works…....120

Time series analysis....121

Getting ready....121

How to do it…....121

How it works…....126

Chapter 5: Working with Visualizations....127

Introduction....127

Plotting basic arrays....128

Getting ready....128

How to do it…....129

How it works…....131

Plotting dataframes....132

Getting ready....132

How to do it…....132

How it works…....135

Plotting functions....135

Getting ready....135

How to do it…....136

How it works…....139

Exploratory data analytics through plots....140

Getting ready....140

How to do it…....141

How it works…....143

Line plots....144

Getting ready....144

How to do it…....144

How it works…....145

Scatter plots....146

Getting ready....146

How to do it…....146

How it works…....148

Histograms....149

Getting ready....149

How to do it…....149

How it works…....151

Aesthetic customizations....151

Getting ready....152

How to do it…....152

How it works…....154

Chapter 6: Parallel Computing....155

Introduction....155

Basic concepts of parallel computing....155

Getting ready....156

How to do it…....156

How it works…....158

Data movement....158

Getting ready....158

How to do it…....158

How it works…....160

Parallel maps and loop operations....161

Getting ready....161

How to do it…....161

How it works…....162

Channels....162

Getting ready....163

How to do it…....163

Index....164

About 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 Julia

Who This Book Is For

This 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 Julia

In Detail

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.

Style and approach

This book has a recipe-based approach to help you grasp the concepts of Julia programming.