The project envisages to provide the technical framework to allow collaborative development of tools useful for the fluid mechanics community, and to do science with open methods. FluidDyn is a project to foster open-science and open-source codin g in Python in the field of fluid mechanics. Pioneering attempts are being made to do better science, improving reproducibility and collective efficiency, by using the open-source methods and tools for science and sharing and collaborating via the world wide web. “Open-science” is a new trend taking advantage of these new facts. Nowadays, codes tend to be at the heart of research. Being a framework, Fluidsim can easily be extended in other packages to develop other solvers (see for example the packages snek5000, fluidsimfoam and fluidsimocean). It is developed as a part of FluidDyn project (Augier et al. In contrast, it was normal to write crude code and to just show the results. The Python package fluidsim is introduced in this article as an extensible framework for Computational Fluid Mechanics (CFD) solvers. The focus was on the theory and the mathematical demonstration, which had to be elegant as it gets included in the articles. In the past, coding was sometimes considered as an inferior activity by some scientists. The role of software in science has changed. Software and programming in science occupy a much bigger place than before. These changes in our world also reflect in the way science is done. To summarize, there is a strong dynamics in play around the use of computers (in particular with the web) and this creates very efficient tools and methods for collective work and software development. fluidsim ensures that all critical modules, classesand functions are well documented both as inline comments and as standalonedocumentation, complete with examples and tutorials.
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I would like to use the fluidsim program for my research. An advantage of fluidsim is that, most of the users just haveto read and write Python code. Such developments contribute to progresses in open-source software. I have a question about the fluidsim python package. Fluidfft and fluidsim take advantage of Pythran, an ahead-of-time compiler which produces very efficient binaries by compiling Python via C++11. This gave way to a big boom in practical uses of data science and machine learning, which drives a strong research on artificial intelligence. The computer performance continues to increase exponentially, now also with the help of Graphical Processing Units (GPU).