Skip to main content

Meta package for Ubermag project.

Project description

ubermag

Marijan Beg1,2, Ryan A. Pepper1, Thomas Kluyver2, Jeroen Mulkers3, Jonathan Leliaert3, and Hans Fangohr1,2

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 Faculty of Sciences, Ghent University, Krijgslaan 281, S12, 9000 Ghent, Belgium

Description Badge
Latest release PyPI version
Anaconda-Server Badge
Build Build Status
Build status
Coverage codecov
Documentation Documentation Status
Binder Binder
Platforms Platforms
Downloads Anaconda-Server Badge
License License
DOI DOI

About

ubermag is a Python meta package for the Ubermag project.

It is available on Windows, MacOS, and Linux. It requires Python 3.6+.

Documentation

APIs and tutorials are available in documentation. To access them, use the documentation 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 Binder badge in the table above.

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.

License

Licensed under the BSD 3-Clause "New" or "Revised" License. For details, please refer to the LICENSE file.

How to cite

If you use this package, please cite it as:

  1. 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).

  2. M. Beg, R. A. Pepper, T. Kluyver, J. Mulkers, J. Leliaert, and H. Fangohr. ubermag/ubermag: Meta package for Ubermag project. Zenodo. http://doi.org/10.5281/zenodo.3539496 (2019).

Acknowledgements

  • OpenDreamKit – Horizon 2020 European Research Infrastructure project (676541)

  • EPSRC Programme grant on Skyrmionics (EP/N032128/1).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ubermag-0.21.tar.gz (4.5 kB view details)

Uploaded Source

Built Distribution

ubermag-0.21-py3-none-any.whl (4.6 kB view details)

Uploaded Python 3

File details

Details for the file ubermag-0.21.tar.gz.

File metadata

  • Download URL: ubermag-0.21.tar.gz
  • Upload date:
  • Size: 4.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0.post20200518 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.3

File hashes

Hashes for ubermag-0.21.tar.gz
Algorithm Hash digest
SHA256 ec733d9c7d58d73fd43200e6a5d595fa4c80728bbf64907da02efda5d451fdba
MD5 2a528d99352318aec5a6e924f57848b7
BLAKE2b-256 2353e1003fb706a9a479cbed58c8c45f2503ce980c32913d09ece90c0efeeeab

See more details on using hashes here.

File details

Details for the file ubermag-0.21-py3-none-any.whl.

File metadata

  • Download URL: ubermag-0.21-py3-none-any.whl
  • Upload date:
  • Size: 4.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0.post20200518 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.3

File hashes

Hashes for ubermag-0.21-py3-none-any.whl
Algorithm Hash digest
SHA256 45c791521c0266aa4cb4c6181edb7bd88f5fb3c33453ee407ccd1f63ec52c3b6
MD5 964cce59b4b492b9d5a853abeb2354c6
BLAKE2b-256 1f18b0fcc45fbe5f09aa20244dbae5871a2196cce62ce0dbeb31e0cabefcfc9a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page