This textbook provides an
introduction to the free software Python and its use for statistical data
analysis. It covers common statistical tests for continuous, discrete and
categorical data, as well as linear regression analysis and topics from survival
analysis and Bayesian statistics. Working code and data for Python solutions
for each test, together with easy-to-follow Python examples, can be reproduced
by the reader and reinforce their immediate understanding of the topic. With
recent advances in the Python ecosystem, Python has become a popular language
for scientific computing, offering a powerful environment for statistical data
analysis and an interesting alternative to R. The book is intended for master
and PhD students, mainly from the life and medical sciences, with a basic
knowledge of statistics. As it also provides some statistics background, the
book can be used by anyone who wants to perform a statistical data
analysis.
