Book Image

Scientific Computing with Python - Second Edition

By : Claus Führer, Jan Erik Solem, Olivier Verdier
Book Image

Scientific Computing with Python - Second Edition

By: Claus Führer, Jan Erik Solem, Olivier Verdier

Overview of this book

Python has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python. This book will help you to explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and built-in features. You'll also explore numerical computation modules such as NumPy and SciPy, which enable fast access to highly efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will be able to represent your computational results in talks and publications. A special chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations. By the end of this Python book, you'll have gained a solid understanding of task automation and how to implement and test mathematical algorithms within the realm of scientific computing.
Table of Contents (23 chapters)
20
About Packt
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.