Implementation of a Numerical Simulation in Python
summary
Shows how Python (with NumPy/SciPy), database access, networking, and optimization techniques can be used to implement numerical simulations, using an aerothermal turbofan engine model as a concrete example. The engine is modeled as discrete components (compressors, turbines, flow parts) mapped to Python’s object-oriented design, and the talk also covers approaches for parallelizing simulations in Python without commercial parallelization packages.
AI-written summary · about
related talks
44mScientific computing with Python: Tools for the solution of continuous problems
49mPython for High Performance and Scientific Computing
37mThe Role of Python in the Oil & Gas Industry
01h 49mBuilding Web-based Analysis & Simulation Platforms
42mPython flying at 40,000 feet
49mAn Introduction to Simulation And Ansys For Developers
29mModernizing Legacy: Wrapping a 25+ Year Computational Fluid Dynamics Codebase
33mReproducible Molecular Simulations with the Help of Python