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Scientific Computing with Python

You're reading from   Scientific Computing with Python High-performance scientific computing with NumPy, SciPy, and pandas

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781838822323
Length 392 pages
Edition 2nd Edition
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Authors (4):
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Olivier Verdier Olivier Verdier
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Olivier Verdier
Jan Erik Solem Jan Erik Solem
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Jan Erik Solem
Claus Führer Claus Führer
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Claus Führer
Claus Fuhrer Claus Fuhrer
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Claus Fuhrer
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Table of Contents (23) Chapters Close

Preface 1. Getting Started 2. Variables and Basic Types FREE CHAPTER 3. Container Types 4. Linear Algebra - Arrays 5. Advanced Array Concepts 6. Plotting 7. Functions 8. Classes 9. Iterating 10. Series and Dataframes - Working with Pandas 11. Communication by a Graphical User Interface 12. Error and Exception Handling 13. Namespaces, Scopes, and Modules 14. Input and Output 15. Testing 16. Symbolic Computations - SymPy 17. Interacting with the Operating System 18. Python for Parallel Computing 19. Comprehensive Examples 20. About Packt 21. Other Books You May Enjoy 22. References

17.2.1 Command-line arguments

To illustrate the use of command-line arguments, we consider the following piece of code, which we save in a file called demo_cli.py:

#! /usr/bin/env  python 
import sys
text=f"""
You called the program{sys.argv[0]}
with the {len(sys.argv)-1} arguments, namely {sys.argv[1:]}"""
print(text)

After giving execution permissions to the file by chmod o+x demo_cli.py, we can execute it in the shell with arguments; see Figure 17.3:

Figure 17.3: Executing a Python script with three arguments on a terminal command line

The three arguments given in the console are accessible in the Python script via the list sys.argv. The first element in this list—the element with index 0—is the name of the script. The other elements are the given arguments as strings.

Arguments are given to the call of the Python script. They should not be confounded with user input during the execution of a script. 

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