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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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About Packt
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References

Building a pipe between a Linux command and a Python script

In the last section, we saw how to redirect the input and output of Python programs to files. The data flow between different Python programs or between a Python program and a Linux command goes, in that case, via a file. If the data is not used elsewhere or should be saved for later use, this is a tedious process: creating, naming, and deleting a file just for directly passing information from one piece of code to another. The alternative is to use a Linux pipe that lets the data flow in a direct stream from one command to another.

Let's start with a pure Linux example and then apply the pipe construction to Python.

The Linux command ifconfig displays a lot of information about the actual network configuration of a Linux computer. Among this information, you find the IP number(s), which are the current network addresses in use. To automatically find out whether a computer, for example, a notebook, is connected via a certain...

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