MODESpy
MODESpy implements generic methods for constructing and using parameterised linear multi-step methods to solve Ordinary Differential Equation Initial Value Problems (ODE IVPs). It is a Python implementation based on the MODES toolbox (Version 1.0.0) written in MATLAB from Lund University (refer to documentation for details).
The current version is 0.9.0.
Installation
MODESpy relies on the installation of SciPy and NumPy, see this link.
Install MODESpy using the typical pip installation methods, for example:
- Using a shell with pip directly and root access:
$ pip install modespy
- Using a windows prompt as a user only:
C:\> py -m pip install --user modespy
Documentation 
Documentation can be found at ReadTheDocs.
Source Code
The source code is available in the Github repository.
License 
MODESPy is provided free of charge for use under the conditions of the MIT license.
See the license file for more details.
Copyright 2020 © Eric J. Whitney
1 maintainer
Release files for modespy 0.9.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| modespy-0.9.0.tar.gz | 36.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| modespy-0.9.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 75.4 kB
Release files / modespy-0.9.0.tar.gz
| Download URL | modespy-0.9.0.tar.gz |
|---|---|
| Size | 36.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.1
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Release files / modespy-0.9.0-py3-none-any.whl
| Download URL | modespy-0.9.0-py3-none-any.whl |
|---|---|
| Size | 38.7 kB |
| Tags | Python 3 |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.1
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