**Computational Physics With Python**

by Eric Ayars

**Publisher**: California State University, Chico 2013**Number of pages**: 194

**Description**:

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; Least-Squares Fitting.

Download or read it online for free here:

**Download link**

(7.5MB, PDF)

## Similar books

**Computational Physics with Python**

by

**Mark Newman**-

**University of Michigan**

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.

(

**17834**views)

**Computational Physics**

by

**Angus MacKinnon**-

**Imperial College London**

This course aims to give the student a thorough grounding in the main computational techniques used in modern physics. This is not a text in computing science, nor in programming. It focuses specifically on methods for solving physics problems.

(

**13916**views)

**Solution Methods In Computational Fluid Dynamics**

by

**T. H. Pulliam**-

**NASA**

Implicit finite difference schemes for solving two dimensional and three dimensional Euler and Navier-Stokes equations will be addressed. The methods are demonstrated in fully vectorized codes for a CRAY type architecture.

(

**14028**views)

**Introduction to Computational Physics**

by

**Franz J. Vesely**-

**University of Vienna**

The essential point in computational physics is the systematic application of numerical techniques in place of, and in addition to, analytical methods, in order to render accessible to computation as large a part of physical reality as possible.

(

**12683**views)