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
A powerful calculator
Data Types and Data Structures
Input and Output
Functions and modules
From Matlab to Python
Numerical Python (numpy): arrays
Numerical Methods using Python (scipy)
Where to go from here?
Out of Copyright
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