Keywords:
data science
Description / Table of Contents:
Chapter 1 Introduction ---
Overview ---
Data Science Is OSEMN ---
Intermezzo Chapters ---
What Is the Command Line? ---
Why Data Science at the Command Line? ---
A Real-World Use Case ---
Further Reading ---
Chapter 2 Getting Started ---
Overview ---
Setting Up Your Data Science Toolbox ---
Essential Concepts and Tools ---
Further Reading ---
Chapter 3 Obtaining Data ---
Overview ---
Copying Local Files to the Data Science Toolbox ---
Decompressing Files ---
Converting Microsoft Excel Spreadsheets ---
Querying Relational Databases ---
Downloading from the Internet ---
Calling Web APIs ---
Further Reading ---
Chapter 4 Creating Reusable Command-Line Tools ---
Overview ---
Converting One-Liners into Shell Scripts ---
Creating Command-Line Tools with Python and R ---
Further Reading ---
Chapter 5 Scrubbing Data ---
Overview ---
Common Scrub Operations for Plain Text ---
Working with CSV ---
Working with HTML/XML and JSON ---
Common Scrub Operations for CSV ---
Further Reading ---
Chapter 6 Managing Your Data Workflow ---
Overview ---
Introducing Drake ---
Installing Drake ---
Obtain Top Ebooks from Project Gutenberg ---
Every Workflow Starts with a Single Step ---
Well, That Depends ---
Rebuilding Specific Targets ---
Discussion ---
Further Reading ---
Chapter 7 Exploring Data ---
Overview ---
Inspecting Data and Its Properties ---
Computing Descriptive Statistics ---
Creating Visualizations ---
Further Reading ---
Chapter 8 Parallel Pipelines ---
Overview ---
Serial Processing ---
Parallel Processing ---
Distributed Processing ---
Discussion ---
Further Reading ---
Chapter 9 Modeling Data ---
Overview ---
More Wine, Please! ---
Dimensionality Reduction with Tapkee ---
Clustering with Weka ---
Regression with SciKit-Learn Laboratory ---
Classification with BigML ---
Further Reading ---
Chapter 10 Conclusion ---
Let’s Recap ---
Three Pieces of Advice ---
Where to Go from Here? ---
Getting in Touch
Pages:
Online-Ressource (XVII, 191 pages)
,
illustrations, diagrams
ISBN:
9781491947852
URL:
https://www.datascienceatthecommandline.com/
Language:
English
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