By Thomas Haslwanter

This textbook presents an
introduction to the unfastened software program Python and its use for statistical data
analysis. It covers universal statistical exams for non-stop, discrete and
categorical facts, in addition to linear regression research and issues from survival
analysis and Bayesian facts. operating code and knowledge for Python solutions
for each one attempt, including easy-to-follow Python examples, may be reproduced
by the reader and make stronger their instant figuring out of the subject. With
recent advances within the Python surroundings, Python has turn into a well-liked language
for clinical computing, providing a strong surroundings for statistical data
analysis and an engaging substitute to R. The ebook is meant for master
and PhD scholars, generally from the existence and scientific sciences, with a basic
knowledge of facts. because it additionally presents a few data heritage, the
book can be utilized by way of a person who desires to practice a statistical data
analysis.   

  

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An Introduction to Statistics with Python: With Applications in the Life Sciences (Statistics and Computing) by Thomas Haslwanter


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