pythonで学ぶ計算物理¶ このページは岡山大学理学部物理学科で開講されている講義「コンピュータ物理学2」の補助資料として公開しているものです。 pythonを使って物理学科の学生に身近な方程式を解くことで、計算物理の実践的な力を身に付けることを目指します。
This is the page accompanying my youtube channel Ten Minute Physics. In short episodes of about ten minutes I explain the basic concepts of physically based simulation. Each time I write a little javascript demo that runs in any browswer. Youtube Contributions Back Tutorials Many more to come - stay tuned!
Please cite as: Barba, Lorena A., and Forsyth, Gilbert F. (2018). CFD Python: the 12 steps to Navier-Stokes equations. Journal of Open Source Education, 1(9), 21, https://doi.org/10.21105/jose.00021 CFD Python, a.k.a. the 12 steps to Navier-Stokes, is a practical module for learning the foundations of Computational Fluid Dynamics (CFD) by coding solutions to the basic partial differential equation
Cavity flow solution at Reynolds number of 200 with a 41x41 mesh. Posted on 07.22.2013We announce the public release of online educational materials for self-learners of CFD using IPython Notebooks: the CFD Python Class! Update! (Jan.2014) CFD Python has a new home on GitHub Some backgroundThis post describes the first practical module of Prof. Barba's Computational Fluid Dynamics class, as taught
Book: Computational Physics The materials on this page are taken from the book Computational Physics by M. Newman, an introduction to the field of computational physics using the Python programming language. If you're interested you can find information about the book here. The book itself is available from the usual booksellers or online here. The Python programming language is an excellent choic
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