An Introduction to Statistics With Python - With Applications in the Life Sciences.pdf

An Introduction to Statistics With Python - With Applications in the Life Sciences

Thomas Haslwanter

This text book 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 addresses the needs of 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.

Introduction to Statistical Methods for Life and Health Sciences ... Focus on programming with Python and selection of its libraries: NumPy, pandas, matplotlib, and scikit-learn, for purpose ... Introduction to Probability with Applications to Poker.

5.55 MB Taille du fichier
9783319283159 ISBN
Libre PRIX
An Introduction to Statistics With Python - With Applications in the Life Sciences.pdf


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