Thomas Haslwanter is a Professor at the Department of Medical Engineering of the University of Applied Sciences Upper Austria in Linz, and lecturer at the ETH Zurich in Switzerland. He also worked as a researcher at the University of Sydney, Australia and the University of Tuebingen, Germany. He has extensive experience in medical research, with a focus on the diagnosis and treatment of vertigo and dizziness and on rehabilitation. After 15 years of extensive use of Matlab, he discovered Python, which he now uses for statistical data analysis, sound and image processing, and for biological simulation applications. He has been teaching in an academic environment for more than 10 years.

Provides an introduction to the free software Python, an alternative to R for statistical computing

Covers common statistical tests, including their implementation and working solutions in Python

Highlights various applications, mainly in the life sciences

Includes supplementary material: [...]

Part I: Python and Statistics.- Why Statistics?.- Python.- Data Input.- Display of Statistical Data.- Part II: Distributions and Hypothesis Tests.- Background.- Distributions of One Variable.- Hypothesis Tests.- Tests of Means of Numerical Data.- Tests on Categorical Data.- Analysis of Survival Times.- Part III: Statistical Modelling.- Linear Regression Models.- Multivariate Data Analysis.- Tests on Discrete Data.- Bayesian Statistics.- Solutions.- Glossary.- Index.