2.1 For Non-Programmers 2.1 For Non-Programmers In the first background, we expect the common underlying story to be the following. Data science has captivated you, making you ...
2.2 Installing the Docker Image 2.2 Installing the Docker Image This section used to be called Setting up the Data Science Toolbox and described how to install a Vagrant box co...
Welcome Citation Info Front Cover Welcome 🇺🇸 🇧🇷 🇨🇳 Welcome! This is an open source and open access book on how to do Data Science using Julia . Our target audience are r...
Preface What to Expect from This Book How to Read This Book Who This Book Is For Acknowledgments Dedication About the Author Preface Data science is an exciting field to ...
1.1 Overview 1.1 Overview In this chapter, you’ll learn: A practical definition of data science What the command line is exactly and how you can use it Why the command line i...
Chapter 3 Obtaining Data Chapter 3 Obtaining Data This chapter deals with the first step of the OSEMN model: obtaining data. After all, without any data, there is not much data...
9.7 Where to Learn Python 9.7 Where to Learn Python Below is a very basic list of some free, online, Python tutorials. (Note: some of the tutorials are for Python 2.7, but are ...
Chapter 17 Workflow References Chapter 17 Workflow In this chapter, we introduce some tips on working with individual R Markdown documents as well as running your R Markdown p...