**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

**Applied Nonparametric Regression**

by

**Wolfgang HÃ¤rdle**-

**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.

(

**24691**views)

**Inverse Problem Theory and Methods for Model Parameter Estimation**

by

**Albert Tarantola**-

**SIAM**

The first part deals with discrete inverse problems with a finite number of parameters, while the second part deals with general inverse problems. The book for scientists and applied mathematicians facing the interpretation of experimental data.

(

**15328**views)

**Stochastic Integration and Stochastic Differential Equations**

by

**Klaus Bichteler**-

**University of Texas**

Written for graduate students of mathematics, physics, electrical engineering, and finance. The students are expected to know the basics of point set topology up to Tychonoff's theorem, general integration theory, and some functional analysis.

(

**12922**views)

**Bayesian Spectrum Analysis and Parameter Estimation**

by

**G. Larry Bretthorst**-

**Springer**

This work is a research document on the application of probability theory to the parameter estimation problem. The people who will be interested in this material are physicists, economists, and engineers who have to deal with data on a daily basis.

(

**16097**views)