AstroStats2013’s Python introduction

• Getting and understanding a working Python installation
• First steps with Python
• Reading and writing files
• Plotting and images
• Numpy and Scipy

Lectures

• Bayesian parameter estimation and model comparison

Example scripts and exercises:

• linear and quadratic model (Coryn)
• maximum likelihood (Mike, first exercises)

The AstroStatistics 2013 School

The main school pages can be found at http://great.ast.cam.ac.uk/Greatwiki/GreatItn/AstroStats2013

Format of the tutorials

For most of the tutorials, there are 3 ways of going through it:

1. HTML-page: requires you to type the examples yourself or to copy the examples line-by-line because the input and output of the lines of code are shown together, as well as the IPython input/output cursors. This format is optimized for reading.
2. commented Python script: allows you to execute the whole tutorial at once or copy blocks of code, while being able to follow the structure of the tutorial using the comments. Output of the code snippets is not shown. Since some of the examples actually crash the code on purpose, you’ll need to comment out those statements yourself.
3. minimal Python script: only contains the relevant Python statements, allowing you to easily copy and paste whole parts of the tutorial in the IPython shell. Output of the code snippets is not shown. Since some of the examples actually crash the code on purpose, you’ll need to comment out those statements yourself.

If they are available, you can download the different file versions at the top of each tutorial page.

Indices and tables

• Index
• Module Index
• Search Page