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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

1.1.4 Configuration

Most Python codes will be collected in files. We recommend that you use the following header in all your Python files:

from numpy import *
from matplotlib.pyplot import *

With this, you make sure that all fundamental data types and functions used in this book for scientific computing purposes are imported. Without this step, most of the examples in the book would raise errors.

Spyder gives syntax warnings and syntax error indicators. Warnings are marked by a yellow triangle; see Figure 1.2.

Syntax warnings indicate statements that are correct but that you are discouraged from using for some reason. The preceding statement, from, causes such a warning. We will discuss the reasons for this later in this book. In this particular case, we ignore the warning.

Figure 1.2: Warning triangles in Spyder

Many editors, such as Spyder, provide the possibility to create a template for your files. Look for this feature and put the preceding header into a...

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