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: Introduction To Monte Carlo AlgorithmsIntroduction To Monte Carlo Algorithms
by - CNRS-Laboratoire de Physique Statistique
The author discusses the fundamental principles of thermodynamic and dynamic Monte Carlo methods in a simple light-weight fashion. The keywords are Markov chains, Sampling, Detailed Balance, A Priori Probabilities, Rejections, Ergodicity, etc.
(8645 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.
(7496 views)
Book cover: Computational Nanoscience: Do It Yourself!Computational Nanoscience: Do It Yourself!
by - NIC
This volume focuses on the application of electronic structure calculations and dynamical simulation techniques covering aspects of solid state physics, surface and nanoscience, chemical reactions and dynamics, magnetism and electron transport, etc.
(14099 views)
Book cover: Computational PhysicsComputational Physics
by - 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.
(9227 views)