Course Notes - read first : ph2150_notes_2016.pdf (25 pages)

Additional more comphrensive notes (reference, 300 pages) Numpy/Scipy notes

In the post exam week the introduction will cover the following topics:

Lecture 1: Lecture1.pptx

Lecture 2: lecture2-2016.ppt

Lecture 3: Lecture_3.pptx

1. Introduction
   • Starting python and getting used to the environment
   • Python as a calculator
   • Problem sheet 1, due end of first python session in the Autumn term PH2150-2016-PS1.pdf
2. Functions
   • Write your own functions to do something useful
   • Use functions already defined in python or python libraries
3. Lists
   • Lists to store data
   • Functions on lists
4. Control structures
   • Conditionals (==, etc)
   • if, for, while
   • Arrays
   • Problem Sheet 2, due beginning of week 2 Autumn term PH2150-2016-PS2.pdf
5. • Data and mathematical data structures
6. Plotting
   • Scatter plot
   • Axis labels
   • Dr Boogert's plotting example
7. Advanced plotting
   • Problem Sheet 3, due end of week 2 Autumn term PH2150-2015-PS3.pdf
   • Star data
   • STM data

• plotTest.py.txt: plotTest.py.txt