Logo

Computational Physics With Python

Small book cover: Computational Physics With Python

Computational Physics With Python
by

Publisher: California State University, Chico
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

Book cover: Computational PhysicsComputational Physics
by - University of Oslo
These notes should train you in an algorithmic approach to problems in the sciences, represented here by the unity of three disciplines, physics, mathematics and informatics. This trinity outlines the emerging field of computational physics.
(18304 views)
Book cover: Introduction to Computational PhysicsIntroduction to Computational Physics
by
The purpose of the text is to demonstrate how computers can help deepen our understanding of physics and increase the range of calculations which we can perform. These lecture notes are writen for an undergraduate course on computational physics.
(20520 views)
Book cover: Introduction to Monte Carlo MethodsIntroduction to Monte Carlo Methods
by - arXiv
These lectures given to graduate students in high energy physics, provide an introduction to Monte Carlo methods. After an overview of classical numerical quadrature rules, Monte Carlo integration and variance-reducing techniques is introduced.
(13215 views)
Book cover: Computational PhysicsComputational Physics
by - ETH Zurich
Contents: Introduction; The Classical Few-Body Problem; Partial Differential Equations;The classical N-body problem; Integration methods; Percolation; Magnetic systems; The quantum one-body problem; The quantum N body problem; and more.
(12461 views)