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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

Opening and closing a file in Python using file I/O


In order to gain access to a file, a computer program needs to interact with the operating system; the process is called file I/O. File I/O is the way in which a programming language is able to open, read from, write to, and close files. (The I/O here stands for input/output, because the program takes input from certain files and writes output to other files.)

Note

While it is not always necessary to explicitly open a file, it is important to conceptually separate the process of opening a file from the process of reading the contents of a file. This is because it is often necessary to read the contents of a file incrementally or specify particular parameters when the file is opened.

In the following subsection, I will show to use python to open a file.

The open function and file objects

To open a file, you can use Python's built-in open() function:

file = open("<relative/path/to/file>", "<permission>")

The variable named file in the...

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