numfys.net

NumFys

A resource for use of computational physics with Python. Covering many topics in physics. IPython Notebooks providing you with the tools to solve your problem. Numerical integration, root finding, ordinary differential equations, linear algebra and more. IPython Notebooks implementing the numerical methods from the modules to solve specific problems. Calculating the Lagrange points in the Sun-Earth system, solving the Lennard-Jones Potential, determining the shape of the hydrogen molecule ion and more.

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NumFys | numfys.net Reviews

<META> DESCRIPTION

A resource for use of computational physics with Python. Covering many topics in physics. IPython Notebooks providing you with the tools to solve your problem. Numerical integration, root finding, ordinary differential equations, linear algebra and more. IPython Notebooks implementing the numerical methods from the modules to solve specific problems. Calculating the Lagrange points in the Sun-Earth system, solving the Lennard-Jones Potential, determining the shape of the hydrogen molecule ion and more.

<META> KEYWORDS

1 toggle navigation

2 modules

3 examples

4 project

5 how to

6 why computational physics

7 recent uploads

8 simple pendulum

9 general relativity

10 at ntnu

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NumFys | numfys.net Reviews

https://numfys.net

A resource for use of computational physics with Python. Covering many topics in physics. IPython Notebooks providing you with the tools to solve your problem. Numerical integration, root finding, ordinary differential equations, linear algebra and more. IPython Notebooks implementing the numerical methods from the modules to solve specific problems. Calculating the Lagrange points in the Sun-Earth system, solving the Lennard-Jones Potential, determining the shape of the hydrogen molecule ion and more.

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numfys.net

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Modules

https://www.numfys.net/modules

Computational physics learning modules as IPython Notebooks. Plotting a function in Python. Brief introduction to Discrete Fourier Transform and the Fast Fourier Transform. Numerical integration using the trapezoidal and Simpsons rules. Monte Carlo Integration in One Dimension. Numerical integration in one dimension using the Monte Carlo method. Monte Carlo Integration in D Dimensions. Numerical integration in D dimensions using the Monte Carlo method. Determining a root using the bisection method. Using...

3

Examples

https://www.numfys.net/examples

Computational physics examples as IPython Notebooks. A simple physical model that approximates the interaction between a pair of neutral atoms or molecules. A Throw Into The Wind With Air Drag. A study of the trajectory of a ball that is moving through the air, subject to air drag and wind. Applying the explicit and implicit Euler methods and the fourth order Runge-Kutta method to calculate the trajectory of the Earth around the Sun. Planetary Motion - Three Body Problem. Waves and Acoustics 3. Computing...

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jupyter.hackpad.com

Kyle Kelley

https://jupyter.hackpad.com/ep/profile/vJtWW9mrhuN

Hackpads are smart collaborative documents. Join Hackpad Now. Jupyter Fall Dev/Project Meeting Draft Agenda. Jupyter Fall Dev/Project Meeting Draft Agenda. Https:/ docs.google.com/document/d/1um1X8 nvpcMD1vwZQX9lXelSbPhVBfXVNdNscUPlNXI/edit#. So that Hackpad stops losing the pad. Pushing towards a seamless information architecture across projects that assist their audiences and make them productive and happy. Should generally have this in Jupyter if people like it. Design and Architecture Guides. Google ...

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numfys.net

NumFys

A resource for use of computational physics with Python. Covering many topics in physics. IPython Notebooks providing you with the tools to solve your problem. Numerical integration, root finding, ordinary differential equations, linear algebra and more. IPython Notebooks implementing the numerical methods from the modules to solve specific problems. Calculating the Lagrange points in the Sun-Earth system, solving the Lennard-Jones Potential, determining the shape of the hydrogen molecule ion and more.

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