An introduction to statistics with Python : with applications in the life sciences /
Haslwanter, Thomas
An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter, series editor W. K. Hardle - xvii, 278 pages : illustrations ; 25 cm. - Scientists and Computing ; .
This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. Working code and data for Python solutions for each test, together with easy-to-follow Python examples, can be reproduced by the reader and reinforce their immediate understanding of the topic. With recent advances in the Python ecosystem, Python has become a popular language for scientific computing, offering a powerful environment for statistical data analysis and an interesting alternative to R. The book is intended for master and PhD students, mainly from the life and medical sciences, with a basic knowledge of statistics. As it also provides some statistics background, the book can be used by anyone who wants to perform a statistical data analysis.
All. All.
9783319283159 (hardback) 9783319283166 (eBook)
Biometry--Computer science--Mathematics--Statistics
Mathematical statistics--Data processing--Statistics
Python (Computer program language)--Computer science--Mathematics
Programming languages (Electronic computers)--Computer science--Mathematics
Database management.
Relational databases.
COMPUTERS--Data Processing.
Database management
Relational databases
519.50285
An introduction to statistics with Python : with applications in the life sciences / Thomas Haslwanter, series editor W. K. Hardle - xvii, 278 pages : illustrations ; 25 cm. - Scientists and Computing ; .
This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. Working code and data for Python solutions for each test, together with easy-to-follow Python examples, can be reproduced by the reader and reinforce their immediate understanding of the topic. With recent advances in the Python ecosystem, Python has become a popular language for scientific computing, offering a powerful environment for statistical data analysis and an interesting alternative to R. The book is intended for master and PhD students, mainly from the life and medical sciences, with a basic knowledge of statistics. As it also provides some statistics background, the book can be used by anyone who wants to perform a statistical data analysis.
All. All.
9783319283159 (hardback) 9783319283166 (eBook)
Biometry--Computer science--Mathematics--Statistics
Mathematical statistics--Data processing--Statistics
Python (Computer program language)--Computer science--Mathematics
Programming languages (Electronic computers)--Computer science--Mathematics
Database management.
Relational databases.
COMPUTERS--Data Processing.
Database management
Relational databases
519.50285