Introductory description

This module introduces the Python programming language. It is quick to learn and encourages good programming style. Python is an interpreted language, which makes it flexible and easy to share. It allows easy interfacing with modules, which have been compiled from C or Fortran sources. It is widely used throughout physics and there are many downloadable free-to-user codes available. The module also looks at visualisation of data.

Module web page

Module aims

Outline syllabus

This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.

A brief introduction to python. Simple maths and physics on the computer. Data/File Input/ Output and control in Python. Loops, conditions and lists.

Functions: Algorithms and software design; tests, error handling and modules

Introduction to Numpy and scipy. Working with vectors and matrices, integration

Graphical representation of the calculation using matplotlib

Basic statistics, probability density distributions, random number generation

Simple data fitting using scipy, physics analysis

Learning outcomes

By the end of the module, students should be able to:

• Write python programs
• Formulate and solve simple maths and physics problems involving differential equations, linear algebra and integration, using python
• Use scientific and graphical libraries
• Perform statistical calculations using python
• Implement good software design
• Present results graphically

Indicative reading list

Python documentation: http://www.python.org/doc/
Scientific Python: http://docs.scipy.org/doc/scipy/reference/
H.P. Langtangen, A Primer on scientific programming with Python, Springer e-books (2012):
http://link.springer.com/book/10.1007%2F978-3-642-18366-9

View reading list on Talis Aspire

Subject specific skills

Programming in Python

Transferable skills

IT, problem-solving, self-study