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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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 Visochek Visochek
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Visochek
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Table of Contents (16) Chapters Close

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
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

Specifying input and output file names in the Terminal


So far, you have specified the file names directly inside the program. Alternatively, it is possible to write your program so that you can specify the names of the input and output files in the Terminal when the program is run. This is particularly useful if you need to run the same program several times with different input datasets and collect several different output files.

The sys module allows you to access an array of strings that correspond to the parameters entered in the Terminal when a program is run. To get a sense for how this works, you can use create a basic program as follows to import the sys module and print out the parameter array:

import sys
print(sys.argv)

You can specify parameters to the program after the initial Python command separated by spaces, as follows:

$Python(3) json_code.py arg1 arg2 asdf fdsa

When running the preceding command, you will see that the parameters that you specified become the elements of the...

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