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Data Literacy With Python

You're reading from   Data Literacy With Python A Comprehensive Guide to Understanding and Analyzing Data with Python

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Product type Paperback
Published in Jul 2024
Publisher Mercury_Learning
ISBN-13 9781836640097
Length 271 pages
Edition 1st Edition
Languages
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Authors (2):
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Mercury Learning and Information Mercury Learning and Information
Author Profile Icon Mercury Learning and Information
Mercury Learning and Information
Oswald Campesato Oswald Campesato
Author Profile Icon Oswald Campesato
Oswald Campesato
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Table of Contents (9) Chapters Close

Preface
1. Chapter 1: Working With Data 2. Chapter 2: Outlier and Anomaly Detection FREE CHAPTER 3. Chapter 3: Cleaning Datasets 4. Chapter 4: Introduction to Statistics 5. Chapter 5: Matplotlib and Seaborn 6. Index
Appendix A: Introduction to Python 1. Appendix B: Introduction to Pandas

COMMAND-LINE ARGUMENTS

Python provides a getopt module to parse command-line options and arguments, and the Python sys module provides access to any command-line arguments via the sys.argv. This serves two purposes:

* sys.argv is the list of command-line arguments
* len(sys.argv) is the number of command-line arguments

Here sys.argv[0] is the program name, so if the Python program is called test.py, it matches the value of sys.argv[0].

Now you can provide input values for a Python program on the command line instead of providing input values by prompting users for their input.

As an example, consider the script test.py shown here:

#!/usr/bin/python
import sys
print('Number of arguments:',len(sys.argv),'arguments')
print('Argument List:', str(sys.argv))

Now run above script as follows:

python test.py arg1 arg2 arg3

This will produce following result:

Number of arguments: 4 arguments.
Argument List: ['test.py', 'arg1', 'arg2&apos...
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Tech Concepts
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