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ZPE and YASS were designed to help with the automation of scripts by clearing up the inconsistent syntaxes of other scripting languages. [3] The Zenith Parsing Engine (formerly ZenithParser) powers the underlying parsers, including the CSV, INI, JSON, TOML and XML parsers. The ZPE Programming Environment is written in Java, making it cross ...
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 .
Up until version 2.3, Keras supported multiple backends, including TensorFlow, Microsoft Cognitive Toolkit, Theano, and PlaidML. [7] [8] [9] As of version 2.4, only TensorFlow was supported. Starting with version 3.0 (as well as its preview version, Keras Core), however, Keras has become multi-backend again, supporting TensorFlow, JAX, and ...
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)
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 ...
MicroPython is a lean and efficient implementation of Python with libraries similar to those in Python. [25] Some standard Python libraries have an equivalent library in MicroPython renamed to distinguish between the two. MicroPython libraries are smaller with less popular features removed or modified to save memory. [19]
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 ...