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

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 assessments for non-stop, discrete and
categorical information, in addition to linear regression research and themes from survival
analysis and Bayesian records. operating code and knowledge for Python solutions
for each one try, including easy-to-follow Python examples, will be reproduced
by the reader and toughen their fast figuring out of the subject. With
recent advances within the Python environment, Python has develop into a well-liked language
for clinical computing, providing a strong surroundings for statistical data
analysis and an enticing replacement to R. The ebook is meant for master
and PhD scholars, frequently from the lifestyles and scientific sciences, with a basic
knowledge of information. because it additionally offers a few records heritage, the
book can be utilized through someone who desires to practice a statistical data
analysis.   

  

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