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

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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
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About This BookFollow a practical approach to learn Julia programming the easy wayGet an extensive coverage of Julia's packages for statistical analysisThis recipe-based approach will help you get familiar with the key concepts in JuliaWho 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.
This practical guide to programming with Julia for performing numerical computation will make you more productive and able work with data more efficiently. What You Will LearnExtract and handle your data with JuliaUncover the concepts of metaprogramming in JuliaConduct statistical analysis with StatsBase.jl and Distributions.jlBuild your data science modelsFind out how to visualize your data with GadflyExplore big data concepts in JuliaIn DetailWant to handle everything that Julia can throw at you and get the most of it every day? 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.
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автор — Rohit Jalem Raj, издательство Packt Publishing Limited, год выпуска 2016, 167 страниц.
О чём книга «Julia Cookbook: Over 40 recipes to get you up and running with programming using Julia»?
About This BookFollow a practical approach to learn Julia programming the easy wayGet an extensive coverage of Julia's packages for statistical analysisThis recipe-based approach will help you get familiar with the key concepts in JuliaWho