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 checks for non-stop, discrete and
categorical information, in addition to linear regression research and themes from survival
analysis and Bayesian records. operating code and information for Python solutions
for each one try, including easy-to-follow Python examples, could be reproduced
by the reader and strengthen their rapid knowing of the subject. With
recent advances within the Python atmosphere, Python has develop into a well-liked language
for clinical computing, delivering a robust atmosphere for statistical data
analysis and an attractive substitute to R. The ebook is meant for master
and PhD scholars, often from the existence and scientific sciences, with a basic
knowledge of records. because it additionally presents a few facts heritage, the
book can be utilized by way of an individual 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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