The development of numerical models for industrial or scientific applications often requires the generation and handling of complex geometries, meshes, etc. Creating these complex numerical models by hand is extremely time consuming in some cases, and not even feasible in many others. One of the most adopted approaches to automate the design and setup of numerical models is the use of programming languages, such as Python. By means of scripts we can automate all the operations required to define our numerical model very fast and efficiently saving lots of time. These automation capabilities are not only limited to the pre-process stage of the model but are also applicable to the postprocessing of the results and the data reduction step. In fact, the possibilities are endless.
Reference | WEB_170322_Python_P |
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Author | Miguel Herraez |
Language | English |
Type | Presentation |
Date | 17th March 2022 |
Organisation | TecnoDigital School |
Region | Global |
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