By Thomas Haslwanter
This textbook offers an
introduction to the loose software program Python and its use for statistical data
analysis. It covers universal statistical assessments for non-stop, discrete and
categorical information, in addition to linear regression research and issues from survival
analysis and Bayesian records. operating code and knowledge for Python solutions
for every one attempt, including easy-to-follow Python examples, could be reproduced
by the reader and strengthen their fast realizing of the subject. With
recent advances within the Python surroundings, Python has develop into a favored language
for clinical computing, delivering a robust setting for statistical data
analysis and a fascinating replacement to R. The e-book is meant for master
and PhD scholars, usually from the lifestyles and scientific sciences, with a basic
knowledge of records. because it additionally offers a few records historical past, the
book can be utilized by way of an individual who desires to practice a statistical data
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Extra resources for An Introduction to Statistics with Python: With Applications in the Life Sciences (Statistics and Computing)
An Introduction to Statistics with Python: With Applications in the Life Sciences (Statistics and Computing) by Thomas Haslwanter