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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
Languages
Tools
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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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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

Introduction to Programming in Python

Programming is a powerful tool for manipulating data because it gives you the ability to build your own custom tools for tackling non standard problems. Much of the content in this book will make use of the Python programming language, so in this chapter, I will give a brief introduction to programming in python. The chapter will include the following topics:

  • External resources
  • Logistical overview
  • Running programs in Python
  • Data types, variables, and the Python shell
  • Compound statements
  • Making comments within programs
  • A programmer's resources

If you are familiar with Python and general programming principals, you can comfortably skip ahead or skim through this chapter.

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