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**:
n/a

**ISBN-13**:
n/a

**Paperback**:
170 pages

**Views**: 10,462

**Type**: Textbook

**Publisher**:
n/a

**License**:
n/a

**Post time**: 01 Feb 2016 08:22:51

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:

More Resources:

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)

More Resources:

Tweet

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).

Book Categories

Computer Science
Introduction to Computer Science
Introduction to Computer Programming
Algorithms and Data Structures
Artificial Intelligence
Computer Vision
Machine Learning
Neural Networks
Game Development and Multimedia
Data Communication and Networks
Coding Theory
Computer Security
Information Security
Cryptography
Information Theory
Computer Organization and Architecture
Operating Systems
Image Processing
Parallel Computing
Concurrent Programming
Relational Database
Document-oriented Database
Data Mining
Big Data
Data Science
Digital Libraries
Compiler Design and Construction
Functional Programming
Logic Programming
Object Oriented Programming
Formal Methods
Software Engineering
Agile Software Development
Information Systems
Geographic Information System (GIS)

Mathematics
Mathematics
Algebra
Abstract Algebra
Linear Algebra
Number Theory
Numerical Methods
Precalculus
Calculus
Differential Equations
Category Theory
Proofs
Discrete Mathematics
Theory of Computation
Graph Theory
Real Analysis
Complex Analysis
Probability
Statistics
Game Theory
Queueing Theory
Operations Research
Computer Aided Mathematics

Supporting Fields
Web Design and Development
Mobile App Design and Development
System Administration
Cloud Computing
Electric Circuits
Embedded System
Signal Processing
Integration and Automation
Network Science
Project Management

Operating System
Programming/Scripting
Ada
Assembly
C / C++
Common Lisp
Forth
Java
JavaScript
Lua
Microsoft .NET
Rexx
Perl
PHP
Python
R
Rebol
Ruby
Scheme
Tcl/Tk

Miscellaneous
Sponsors