An Introduction to Statistics with Python: With Applications by Thomas Haslwanter

By Thomas Haslwanter

This textbook offers 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 themes from survival
analysis and Bayesian facts. operating code and information for Python solutions
for every one attempt, including easy-to-follow Python examples, could be reproduced
by the reader and toughen their speedy knowing of the subject. With
recent advances within the Python atmosphere, Python has turn into a favored language
for clinical computing, supplying a robust setting for statistical data
analysis and an attractive substitute to R. The ebook is meant for master
and PhD scholars, more often than not from the existence and clinical sciences, with a basic
knowledge of statistics. because it additionally offers a few records heritage, the
book can be utilized via an individual who desires to practice a statistical data
analysis.   

  

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