Logo

Think Stats: Probability and Statistics for Programmers

Small book cover: Think Stats: Probability and Statistics for Programmers

Think Stats: Probability and Statistics for Programmers
by

Publisher: Green Tea Press
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.

Home page url

Download or read it online for free here:
Download link
(1.1MB, PDF)

Similar books

Book cover: Reversible Markov Chains and Random Walks on GraphsReversible Markov Chains and Random Walks on Graphs
by - University of California, Berkeley
From the table of contents: General Markov Chains; Reversible Markov Chains; Hitting and Convergence Time, and Flow Rate, Parameters for Reversible Markov Chains; Special Graphs and Trees; Cover Times; Symmetric Graphs and Chains; etc.
(9569 views)
Book cover: Seeing Theory: A visual introduction to probability and statisticsSeeing Theory: A visual introduction to probability and statistics
by - Brown University
The intent of the website and these notes is to provide an intuitive supplement to an introductory level probability and statistics course. The level is also aimed at students who are returning to the subject and would like a concise refresher ...
(1959 views)
Book cover: Advanced Data Analysis from an Elementary Point of ViewAdvanced Data Analysis from an Elementary Point of View
by - Cambridge University Press
This is a draft textbook on data analysis methods, intended for a one-semester course for advance undergraduate students who have already taken classes in probability, mathematical statistics, and linear regression. It began as the lecture notes.
(5068 views)
Book cover: Applied Nonparametric RegressionApplied Nonparametric Regression
by - Cambridge University Press
Nonparametric regression analysis has become central to economic theory. Hardle, by writing the first comprehensive and accessible book on the subject, contributed enormously to making nonparametric regression equally central to econometric practice.
(20907 views)