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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
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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

Running programs in python


A programming language is a set of syntactical rules to express instructions to the computer. These instructions are written in a computer program, a set of code that is stored in a static file in the file system of a computer.

In this section, you will make a simple program that prints the words Hello World! to the output. Completing this exercise will give you an introduction to the process of creating and running programs in Python.

Using text editors to write and manage programs

Like any other practice, programming requires a certain set of tools.

The first of these is the text editor. Text editors for programming are not like ordinary word processors, which will often apply formatting to text and sometimes force users to save with certain file extensions. Programs need to be saved in a raw format in order to run properly. This can be done with plain text editors such as Notepad in Windows and gedit in Linux; however, there are a few reasons to use a specialized...

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