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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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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

Compound statements

So far, each line of code that you have written gets executed exactly once and immediately after it is written. Compound statements are Python structures that allow you to control when and how certain pieces of code get executed. Compound statements significantly increase your expressiveness as a programmer. In other words, they allow you to do more with less code. Before introducing a few compound statements, it will be helpful to go over the syntactical structure.

Compound statement syntax and indentation level

A compound statement consists of two parts. The first part, the clause header, is a line containing the type of statement and some other information specific to the statement. The clause header...

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