micromagneticdata
Marijan Beg1,2, Martin Lang1, and Hans Fangohr1,2,3
1 Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, United Kingdom
2 European XFEL GmbH, Holzkoppel 4, 22869 Schenefeld, Germany
3 Max Planck Institute for the Structure and Dynamics of Matter, Luruper Chaussee 149, 22761 Hamburg, Germany
| Description | Badge |
|---|---|
| Tests |  |
 |
|
| Releases |  |
 |
|
| Coverage |  |
| Documentation |  |
| YouTube |  |
| Binder |  |
| Platforms |  |
| Downloads |  |
| License |  |
| DOI | Coming soon... |
About
micromagneticdata is a Python package, integrated into Jupyter, providing:
- The analysis of computational magnetism data.
It is available on Windows, MacOS, and Linux. It requires Python 3.8+.
Documentation
APIs and tutorials are available in the documentation. To access the documentation, use the badge in the table above.
Installation, testing, and upgrade
We recommend installation using conda package manager. Instructions can be found in the documentation.
Binder
This package can be used in the cloud via Binder. To access Binder, use the badge in the table above.
YouTube
YouTube video tutorials are available on the Ubermag channel.
Support
If you require support, have questions, want to report a bug, or want to suggest an improvement, please raise an issue in ubermag/help repository.
Contributions
All contributions are welcome, however small they are. If you would like to contribute, please fork the repository and create a pull request. If you are not sure how to contribute, please contact us by raising an issue in ubermag/help repository, and we are going to help you get started and assist you on the way.
Contributors:
- Sergii Mamedov (@sergii-mamedov), European XFEL, Germany
License
Licensed under the BSD 3-Clause "New" or "Revised" License. For details, please refer to the LICENSE file.
How to cite
-
M. Beg, R. A. Pepper, and H. Fangohr. User interfaces for computational science: A domain specific language for OOMMF embedded in Python. AIP Advances 7, 56025 (2017).
-
DOI will be available soon...
Acknowledgements
-
OpenDreamKit – Horizon 2020 European Research Infrastructure project (676541)
-
EPSRC Programme Grant on Skyrmionics (EP/N032128/1)
4 maintainers
Metadata
4 maintainers
Release files for micromagneticdata 0.5.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| micromagneticdata-0.5.1.tar.gz | 144.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| micromagneticdata-0.5.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 323.3 kB
Release files / micromagneticdata-0.5.1.tar.gz
| Download URL | micromagneticdata-0.5.1.tar.gz |
|---|---|
| Size | 144.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e2c1d258745b1d71daa9ad3e15d3d0627b0d655946804de5b1238284e51cbcb3
|
|
BLAKE2b-256 checksum How to use checksums |
adab96194c87f5047bd203d6e04de873750c9fdf748ed1ecb9c067c14d7fe395
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.1.2.post20210110 requests-toolbelt/0.9.1 tqdm/4.44.1 CPython/3.8.5
|
Release files / micromagneticdata-0.5.1-py3-none-any.whl
| Download URL | micromagneticdata-0.5.1-py3-none-any.whl |
|---|---|
| Size | 179.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
843231bc9f26f105057cc5b124726c7be8dd53382a3ffc29aa0c84086c6b1312
|
|
BLAKE2b-256 checksum How to use checksums |
055777478fce85c3453e2ffdb16c0260883b8e0513945d84b32a30622c6928a2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.1.2.post20210110 requests-toolbelt/0.9.1 tqdm/4.44.1 CPython/3.8.5
|
