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← Revision 16 as of 2019-09-29 16:30:48 ⇥
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## page was renamed from Software_that_may_be_useful | |
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* [[http://www.sagemath.org:9001/graph_survey|graph theory]] * [[http://www.sagemath.org:9001/plot|plotting/graphics]] |
* [[https://wiki.sagemath.org/graph_survey|graph theory]] * [[https://wiki.sagemath.org/plot|plotting/graphics]] |
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* [[http://www.xmds.org/|xmds]] - An open-source XML based simulation package, of ordinary differential equations (ODEs) and partial differential Equations (PDEs). | * [[https://www.xmds.org/|xmds]] - An open-source XML based simulation package, of ordinary differential equations (ODEs) and partial differential Equations (PDEs). |
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* [[https://www.fenics.org/wiki/FEniCS_Project|fenics]] Fenics is free software for automated solution of differential equations. It is separated into components, and already has a python interface (dolfin). | |
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* [[http://www.pytables.org/|pytables]] | * [[https://www.pytables.org/|pytables]] |
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* [[http://www.sagemath.org:9001/combinatorics|Combinatorics]] | * [[https://wiki.sagemath.org/combinatorics|Combinatorics]] |
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* [[http://rgruet.free.fr/#QuickRef|Python Quick Reference]] - The ultimate Python resource. Grab the single page version and save locally (its pretty big) | * [[https://rgruet.free.fr/#QuickRef|Python Quick Reference]] - The ultimate Python resource. Grab the single page version and save locally (its pretty big) |
Software that may be useful for
- differential equations:
xmds - An open-source XML based simulation package, of ordinary differential equations (ODEs) and partial differential Equations (PDEs).
scipy's collection of dynamical systems programs.
fenics Fenics is free software for automated solution of differential equations. It is separated into components, and already has a python interface (dolfin).
- Databases/tables:
- Notebook Editing
It's All Text - a Firefox plug-in which will launch the editor of your choice with the contents of a text box. Perfect for Wiki editing and working in the notebook
Python Quick Reference - The ultimate Python resource. Grab the single page version and save locally (its pretty big)