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 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 each one try out, including easy-to-follow Python examples, could be reproduced
by the reader and toughen their fast knowing of the subject. With
recent advances within the Python atmosphere, Python has turn into a well-liked language
for clinical computing, supplying a robust surroundings for statistical data
analysis and a fascinating substitute to R. The e-book is meant for master
and PhD scholars, almost always from the existence and scientific sciences, with a basic
knowledge of records. because it additionally offers a few information heritage, the
book can be utilized via somebody who desires to practice a statistical data
analysis.   

  

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