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  2. SymPy - Wikipedia

    en.wikipedia.org/wiki/SymPy

    SymPy is an open-source Python library for symbolic computation.It provides computer algebra capabilities either as a standalone application, as a library to other applications, or live on the web as SymPy Live [2] or SymPy Gamma. [3]

  3. SciPy - Wikipedia

    en.wikipedia.org/wiki/SciPy

    SciPy (pronounced / ˈ s aɪ p aɪ / "sigh pie" [2]) is a free and open-source Python library used for scientific computing and technical computing. [3]SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.

  4. Module:Example/testcases - Wikipedia

    en.wikipedia.org/wiki/Module:Example/testcases

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Pages for logged out editors learn more

  5. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    In Python, functions are first-class objects that can be created and passed around dynamically. Python's limited support for anonymous functions is the lambda construct. An example is the anonymous function which squares its input, called with the argument of 5:

  6. Thermodynamic beta - Wikipedia

    en.wikipedia.org/wiki/Thermodynamic_beta

    The exact formulation is as follows. Consider two systems, 1 and 2, in thermal contact, with respective energies E 1 and E 2. We assume E 1 + E 2 = some constant E. The number of microstates of each system will be denoted by Ω 1 and Ω 2. Under our assumptions Ω i depends only on E i.

  7. Bullet (software) - Wikipedia

    en.wikipedia.org/wiki/Bullet_(software)

    Bullet is a physics engine which simulates collision detection as well as soft and rigid body dynamics.It has been used in video games and for visual effects in movies. Erwin Coumans, its main author, won a Scientific and Technical Academy Award [4] for his work on Bullet.

  8. Material point method - Wikipedia

    en.wikipedia.org/wiki/Material_Point_Method

    The PIC was originally conceived to solve problems in fluid dynamics, and developed by Harlow at Los Alamos National Laboratory in 1957. [1] One of the first PIC codes was the Fluid-Implicit Particle (FLIP) program, which was created by Brackbill in 1986 [2] and has been constantly in development ever since.

  9. VPython - Wikipedia

    en.wikipedia.org/wiki/VPython

    Here is an example of a cylinder as given in VPython's documentation (in older VPython implementations, the module to import is vpython, not visual): from visual import * # Import the visual module rod = cylinder ( pos = ( 0 , 2 , 1 ), axis = ( 5 , 0 , 0 ), radius = 1 )