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Practical Data Wrangling

You're reading from   Practical Data Wrangling Expert techniques for transforming your raw data into a valuable source for analytics

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781787286139
Length 204 pages
Edition 1st Edition
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Author (1):
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Allan Visochek Allan Visochek
Author Profile Icon Allan Visochek
Allan Visochek
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Toc

Table of Contents (10) Chapters Close

Preface 1. Programming with Data FREE CHAPTER 2. Introduction to Programming in Python 3. Reading, Exploring, and Modifying Data - Part I 4. Reading, Exploring, and Modifying Data - Part II 5. Manipulating Text Data - An Introduction to Regular Expressions 6. Cleaning Numerical Data - An Introduction to R and RStudio 7. Simplifying Data Manipulation with dplyr 8. Getting Data from the Web 9. Working with Large Datasets

Logistical overview


Each of the chapters will begin with a logistical overview, detailing the projects involved in the chapter, installation requirements, the file system setup for the projects and other useful details. These initial Logistical Overview sections will help you to get set up to follow along with the chapter.  

In this chapter, I will walk through the creation of one Python program called hello_world.py. I will walk through the steps of creating the python program at the beginning of the chapter.

I will also introduce an interface for executing python commands directly called the terminal. Using the terminal, I will demonstrate several elementary programming concepts. 

The finished product for the python program, as well as a program containing all of the terminal commands is available in the code folder of the external resources at https://goo.gl/8S58ra.

Installation requirements

For this chapter, you will need the following:

  • Atom, an open source text editor created by GitHub
  • The...
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