Search Results for "mechanical"

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 equations that describe the physics of fluid flow. The module was part of a course taught by Prof. Lorena Barba between 2009 and 2013 in the Mechanical Engineering department at Boston University (Prof. Barba since moved to George Washington University). The module assumes only basic programming knowledge (in any language) and some background in partial differential equations and fluid mechanics. The "steps" were inspired by the ideas of Dr. Rio Yokota, who was a post-doc in Prof. ...

...It parses C, maps C types and constructs into Rust equivalents, and generates code that compiles under rustc, introducing unsafe only when necessary. The tool seeks to produce readable Rust that a developer can then refine by hand, rather than a perfect one-to-one mechanical translation. It handles common C features such as pointers, structs, enums, arrays, and function calls, while flagging areas that need attention during the migration. Preprocessor handling and tricky macro patterns are approached pragmatically, aiming for working output over exhaustive transformation. As a proof-of-concept, it demonstrates how automated tooling can accelerate moving from legacy C to a memory-safe language without a full rewrite.

pySDAI provides a set of python wrappers to the JSDAI library in order to handle EXPRESS data within Jython.