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 checks for non-stop, discrete and
categorical facts, in addition to linear regression research and themes from survival
analysis and Bayesian facts. operating code and knowledge for Python solutions
for every one attempt, including easy-to-follow Python examples, will be reproduced
by the reader and strengthen their rapid knowing of the subject. With
recent advances within the Python surroundings, Python has turn into a favored language
for medical computing, supplying a strong atmosphere for statistical data
analysis and an engaging replacement to R. The booklet is meant for master
and PhD scholars, mostly from the lifestyles and clinical sciences, with a basic
knowledge of records. because it additionally offers a few information heritage, the
book can be utilized via an individual who desires to practice a statistical data
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Extra info 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