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CherryPy is an object-oriented web application framework using the Python programming language.It is designed for rapid development of web applications by wrapping the HTTP protocol but stays at a low level and does not offer much more than what is defined in RFC 7231.
Initially, the 3C-model was published as the "compensatory model of work motivation and volition". [1] The original title referred to one of the central assumptions of the model, namely that volition compensates for insufficient motivation. Because of the potential confusion with "worker compensation", however, the name was changed to "3C-model."
The framework aims to alleviate the overhead associated with common activities used in web development. For example, many frameworks provide libraries for database access, template processing and session management, and often promote code reuse. Though they often target development of dynamic websites they are also applicable to static websites.
Gekko - simulation software in Python with machine learning and optimization; GNU Octave - an open-source mathematical modeling and simulation software very similar to using the same language as MATLAB and Freemat. JModelica.org is a free and open source software platform based on the Modelica modeling language.
For example, Python bindings are used when an extant C library, written for some purpose, is to be used from Python. Another example is libsvn which is written in C to provide an API to access the Subversion software repository .
The default can be overridden (e.g. in source code comment) to Python 3 (or 2) syntax. Since Python 3 syntax has changed in recent versions, Cython may not be up to date with the latest additions. Cython has "native support for most of the C++ language" and "compiles almost all existing Python code". [7] Cython 3.0.0 was released on 17 July ...
Theano is a Python library and optimizing compiler for manipulating and evaluating mathematical expressions, especially matrix-valued ones. [2] In Theano, computations are expressed using a NumPy -esque syntax and compiled to run efficiently on either CPU or GPU architectures.
SymPy is simple to install and to inspect because it is written entirely in Python with few dependencies. [ 4 ] [ 5 ] [ 6 ] This ease of access combined with a simple and extensible code base in a well known language make SymPy a computer algebra system with a relatively low barrier to entry.