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 subject matters from survival
analysis and Bayesian data. operating code and information for Python solutions
for every one attempt, including easy-to-follow Python examples, might be reproduced
by the reader and toughen their rapid knowing of the subject. With
recent advances within the Python surroundings, Python has develop into a well-liked language
for medical computing, delivering a robust atmosphere for statistical data
analysis and an enticing replacement to R. The e-book is meant for master
and PhD scholars, quite often from the existence and scientific sciences, with a basic
knowledge of facts. because it additionally offers a few information history, the
book can be utilized via an individual who desires to practice a statistical data
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Additional 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