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Scientific Computing with Python

Scientific Computing with Python

By : Führer, Claus Fuhrer, Solem, Verdier
4.5 (15)
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Scientific Computing with Python

Scientific Computing with Python

4.5 (15)
By: Führer, Claus Fuhrer, Solem, 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)
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20
About Packt
22
References

17.2.2 Input and output streams

In the preceding example, we used the command print to display the generated message in the terminal (or even in the Python shell). A priory input to the script is obtained via arguments and the variable sys.argv. The counterpart to print is the command input, which prompts for data from the terminal (or from the Python shell).

In Section 14.1: File handling, we saw how to provide a script with data and how to output data from a script by the use of file objects and related methods. The module sys makes it possible to treat the keyboard as a file object for input (for example, readline, readlines) and the console as a file object for output (for example, write, writelines).

The information flow is organized in UNIX by three streams:

  • The standard input stream: STDIN  
  • The standard output stream: STDOUT
  • The standard error stream: STDERR

These streams correspond to file objects that can be accessed in Python...

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