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The Functional Mock-up Interface (or FMI) defines a standardized interface to be used in computer simulations to develop complex cyber-physical systems.. The vision of FMI is to support this approach: if the real product is to be assembled from a wide range of parts interacting in complex ways, each controlled by a complex set of physical laws, then it should be possible to create a virtual ...
QGIS uses Python for scripting and plugin-development; Rhinoceros 3D version 5.0 [18] and its visual-scripting language Grasshopper uses IronPython [19] Rhythmbox; Scribus; 3DSlicer, medical image visualisation and analysis software. Python is available for algorithm implementation, analysis pipelines, and GUI creation.
In 2012 the Processing Foundation was established and received 501(c)(3) nonprofit status, [5] supporting the community around the tools and ideas that started with the Processing Project. The foundation encourages people around the world to meet annually in local events called Processing Community Day .
Pages in category "Articles with example Python (programming language) code" The following 200 pages are in this category, out of approximately 201 total. This list may not reflect recent changes. (previous page)
Open Source (Apache License Version 2.0) Apache Ignite is an in-memory computing platform that is durable, strongly consistent, and highly available with powerful SQL, key-value and processing APIs. With full SQL support, one of the main use cases for Apache Ignite is the in-memory database which scales horizontally and provides ACID transactions.
The input–process–output model. The input–process–output (IPO) model, or input-process-output pattern, is a widely used approach in systems analysis and software engineering for describing the structure of an information processing program or other process.
Kivy is the main framework developed by the Kivy organization, [3] alongside Python for Android, [4] Kivy for iOS, [5] and several other libraries meant to be used on all platforms. In 2012, Kivy got a $5000 grant from the Python Software Foundation for porting it to Python 3.3. [6] Kivy also supports the Raspberry Pi which was funded through ...
Semantic data mining is a subset of data mining that specifically seeks to incorporate domain knowledge, such as formal semantics, into the data mining process.Domain knowledge is the knowledge of the environment the data was processed in. Domain knowledge can have a positive influence on many aspects of data mining, such as filtering out redundant or inconsistent data during the preprocessing ...