An Introduction to Statistics with Python - With Applications in the Life Sciences (Paperback, Softcover reprint of the original 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Statistics and Computing
Release date:	May 2018
First published:	2016
Authors:	Thomas Haslwanter
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Paperback
Pages:	278
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-3-319-80323-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Books > Computing & IT > Computer programming > Programming languages > General Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Promotions
LSN:	3-319-80323-9
Barcode:	9783319803234

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