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Pages in category "Python (programming language) scientific libraries" The following 36 pages are in this category, out of 36 total. This list may not reflect recent changes .
Python (programming language) scientific libraries (36 P) Pages in category "Python (programming language) libraries" The following 43 pages are in this category, out of 43 total.
Epi Info is public domain statistical software for epidemiology developed by Centers for Disease Control and Prevention. [1]Spatiotemporal Epidemiological Modeler is a tool, originally developed at IBM Research, for modelings and visualizing the spread of infectious diseases.
gretl is an example of an open-source statistical package. ADaMSoft – a generalized statistical software with data mining algorithms and methods for data management; ADMB – a software suite for non-linear statistical modeling based on C++ which uses automatic differentiation; Chronux – for neurobiological time series data; DAP – free ...
Frets on Fire is written in Python and uses Pygame; Mount & Blade is written in Python. [citation needed] Pirates of the Caribbean Online is written in Python and uses Panda3D for graphics. [citation needed] SpongeBob SquarePants: Revenge of the Flying Dutchman uses Python as a scripting language. [7] [8] The Sims 4 uses Python [9]
This is a list of notable library packages implementing a graphical user interface (GUI) platform-independent GUI library (PIGUI). These can be used to develop software that can be ported to multiple computing platforms with no change to its source code.
Library January 16, 2012 (v0.26) [23] LGPL: SIM.JS is a general-purpose Discrete Event Simulation library written entirely in JavaScript. Runs in browser and a GUI-based modeling tool is supported. SimPy: Python: Library November 12, 2023 (4.1.1) [24] MIT: SimPy is a process-based discrete-event simulation framework based on standard Python ...
Spark NLP for Healthcare is a commercial extension of Spark NLP for clinical and biomedical text mining. [10] It provides healthcare-specific annotators, pipelines, models, and embeddings for clinical entity recognition, clinical entity linking, entity normalization, assertion status detection, de-identification, relation extraction, and spell checking and correction.