Introduction to Python for Computational Science and Engineering

This text 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.

**Tag(s):**
Python

**Publication date**: 19 Sep 2016

**ISBN-10**:
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**ISBN-13**:
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**Paperback**:
170 pages

**Views**: 12,591

**Type**: Textbook

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**Post time**: 01 Feb 2016 09:22:51

Introduction to Python for Computational Science and Engineering

This text 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.

Excerpts from the Introduction:

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Hans Fangohr wrote:This text 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)

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About The Author(s)

Hans is a computational scientist and Professor of Computational Modelling at the University of Southampton. He received his undergraduate degree "Diplomphysiker" in physics from the University of Hamburg (Germany) and completed his PhD studies in the High Performance Computing Group at the department of Computer Science in Southampton. He is a full professor (since 2010) in the faculty of Engineering and the Environment, specialised in software engineering and research computation.

His research interests are at the interface between computer science and applied computer simulation and High Performance Computing (HPC).

His research interests are at the interface between computer science and applied computer simulation and High Performance Computing (HPC).

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