Think Stats: Probability and Statistics for Programmers
by Allen B. Downey
Publisher: Green Tea Press 2011
Number of pages: 122
Description:
Think Stats is an introduction to Probability and Statistics for Python programmers. This new book emphasizes simple techniques you can use to explore real data sets and answer interesting statistical questions. Basic skills in Python are assumed.
Download or read it online for free here:
Download link
(1.1MB, PDF)
Similar books
Theory of Probability: A Historical Essayby Oscar Sheynin - arXiv.org
This book covers the history of probability up to Kolmogorov with essential additional coverage of statistics up to Fisher. The book covers an extremely wide field, and is targeted at the same readers as any other book on history of science.
(7529 views)
Introduction to Randomness and Statisticsby Alexander K. Hartmann - arXiv
This is a practical introduction to randomness and data analysis, in particular in the context of computer simulations. At the beginning, the most basics concepts of probability are given, in particular discrete and continuous random variables.
(14102 views)
Basic Data Analysis and More: A Guided Tour Using Pythonby O. Melchert - arXiv
In these lecture notes, a selection of frequently required statistical tools will be introduced and illustrated. They allow to post-process data that stem from, e.g., large-scale numerical simulations (aka sequence of random experiments).
(14603 views)
Random Matrix Models and Their Applicationsby Pavel Bleher, Alexander Its - Cambridge University Press
The book covers broad areas such as topologic and combinatorial aspects of random matrix theory; scaling limits, universalities and phase transitions in matrix models; universalities for random polynomials; and applications to integrable systems.
(16527 views)