Introduction to Python for Computational Science and Engineering
A beginner's guide
by Hans Fangohr
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Book Description
This book summarises a number of core ideas relevant to Computational Engineering and Scientific Computing using Python. The emphasis is on introducing some basic Python (programming) concepts that are relevant for numerical algorithms. The later chapters touch upon numerical libraries such as numpy and scipy each of which deserves much more space than provided here. We aim to enable the reader to learn independently how to use other functionality of these libraries using the available documentation (online and through the packages itself).This open book is out of copyright. You can download Introduction to Python for Computational Science and Engineering ebook for free in PDF format (2.9 MB).
Table of Contents
Chapter 1
Introduction
Chapter 2
A powerful calculator
Chapter 3
Data Types and Data Structures
Chapter 4
Introspection
Chapter 5
Input and Output
Chapter 6
Control Flow
Chapter 7
Functions and modules
Chapter 8
Functional tools
Chapter 9
Common tasks
Chapter 10
From Matlab to Python
Chapter 11
Python shells
Chapter 12
Symbolic computation
Chapter 13
Numerical Computation
Chapter 14
Numerical Python (numpy): arrays
Chapter 15
Visualising Data
Chapter 16
Numerical Methods using Python (scipy)
Chapter 17
Where to go from here?
Book Details
Title
Introduction to Python for Computational Science and Engineering
Subject
Computer Science
Publisher
Self-publishing
Published
2015
Pages
167
Edition
1
Language
English
PDF Size
2.9 MB
License
Out of Copyright
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