**Computational Physics with Python**

by Mark Newman

**Publisher**: University of Michigan 2012

**Description**:

The Python programming language is an excellent choice for learning, teaching, or doing computational physics. This page contains a selection of resources the author developed for teachers and students interested in computational physics and Python.

Download or read it online for free here:

**Download link**

(multiple PDF files)

## Similar books

**Monte Carlo: Basics**

by

**K. P. N. Murthy**-

**arXiv**

An introduction to the basics of Monte Carlo is given. The topics covered include sample space, events, probabilities, random variables, mean, variance, covariance, characteristic function, chebyshev inequality, law of large numbers, etc.

(

**10839**views)

**Computational Physics**

by

**Konstantinos Anagnostopoulos**-

**National Technical University of Athens**

This is an introduction to the computational methods used in physics and other scientific fields. It is addressed to an audience that has already been exposed to the introductory level of college physics, usually taught during the first two years...

(

**5861**views)

**Introduction to Computational Physics and Monte Carlo Simulations of Matrix Field Theory**

by

**Badis Ydri**-

**arXiv**

We give an elementary introduction to computational physics. We deal with the problem of how to set up working Monte Carlo simulations of matrix field theories which involve finite dimensional matrix regularizations of noncommutative field theories.

(

**4598**views)

**Computational Physics With Python**

by

**Eric Ayars**-

**California State University, Chico**

Contents: Useful Introductory Python; Python Basics; Basic Numerical Tools; Numpy, Scipy, and MatPlotLib; Ordinary Differential Equations; Chaos; Monte Carlo Techniques; Stochastic Methods; Partial Differential Equations; Linux; Visual Python; etc.

(

**7002**views)