An Introduction to Statistics with Python
With Applications in the Life Sciences
Buch in deiner Nähe kaufen
Beschreibung
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.
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.
New edition available at https://link.springer.com/book/10.1007/978-3-030-97371-1 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: sn.pub/extras
Autor*in
Thomas Haslwanter
Themen in »An Introduction to Statistics with Python«
Python statistical tests applications in life sciences data analysis statistical methods programming statistics and computing alternative to R Python source code introductory statistics
Stimmen zu »An Introduction to Statistics with Python«
“This book is a timely addition designed to bridge the gap between statisticians/computer scientists and experimentalists (biologists, physicists, medical doctors) by focussing on solutions to practical problems … . the book also provides hands-on examples and exercises for a better understanding (for which the solutions are included at the end of the book). This approach makes the book appealing to a wide audience ranging from undergraduates in various subjects to established researchers looking for a focused set of answers.” (Irina Ioana Mohorianu, zbMATH 1357.92001, 2017)
()