Skip to main content

Meta package for Ubermag project.

Project description

ubermag

Marijan Beg1,2, Martin Lang2, Samuel Holt2,3, Ryan A. Pepper4, Thomas Kluyver5, Jeroen Mulkers6, Jonathan Leliaert6, and Hans Fangohr2,7,8

1 Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, UK
2 Faculty of Engineering and Physical Sciences, University of Southampton, Southampton SO17 1BJ, UK
3 Department of Physics, University of Warwick, Coventry CV4 7AL, UK
4 Research Software Group, University of Birmingham, Birmingham B15 2TT, UK
5 European XFEL GmbH, Holzkoppel 4, 22869 Schenefeld, Germany
6 Faculty of Sciences, Ghent University, Krijgslaan 281, S12, 9000 Ghent, Belgium
7 Max Planck Institute for the Structure and Dynamics of Matter, Luruper Chaussee 149, 22761 Hamburg, Germany
8 Center for Free-Electron Laser Science, Luruper Chaussee 149, 22761 Hamburg, Germany

Description Badge
Tests Build status
conda
Linting pre-commit.ci status
Code style: black
Releases PyPI version
Anaconda-Server Badge
Coverage codecov
Documentation Documentation
YouTube YouTube
Binder Binder
Platforms Platforms
Downloads Downloads
License License
DOI DOI

About

ubermag is a Python package, integrated with Jupyter, providing:

  • Meta package for Ubermag project,

  • Logging control in Ubermag packages.

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:

License

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

How to cite

  1. M. Beg, M. Lang, and H. Fangohr. Ubermag: Towards more effective micromagnetic workflows. IEEE Transactions on Magnetics 58, 7300205 (2022).

  2. 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).

  3. Marijan Beg, Martin Lang, Samuel Holt, Ryan A. Pepper, Thomas Kluyver, Jeroen Mulkers, Jonathan Leliaert, and Hans Fangohr. ubermag: Meta package for Ubermag project. DOI: 10.5281/zenodo.3539495 (2022).

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-0.62.1.tar.gz (7.1 kB view details)

Uploaded Source

Built Distribution

ubermag-0.62.1-py3-none-any.whl (6.3 kB view details)

Uploaded Python 3

File details

Details for the file ubermag-0.62.1.tar.gz.

File metadata

  • Download URL: ubermag-0.62.1.tar.gz
  • Upload date:
  • Size: 7.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for ubermag-0.62.1.tar.gz
Algorithm Hash digest
SHA256 0b287d215d36523ea97eb12e614c04cafb70fe8b7b069b5c317ffd44c4339604
MD5 98d2102cee8bce17b01c9ae2608fe8d4
BLAKE2b-256 6ab71c20fde8fcf2fd88b3b2fb29701c3b91fc76bcd088c01c529390ccd54007

See more details on using hashes here.

File details

Details for the file ubermag-0.62.1-py3-none-any.whl.

File metadata

  • Download URL: ubermag-0.62.1-py3-none-any.whl
  • Upload date:
  • Size: 6.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.13

File hashes

Hashes for ubermag-0.62.1-py3-none-any.whl
Algorithm Hash digest
SHA256 ed30c229c77fd9404f9082a755a7d175045826c34edb27362814ae6133be6a74
MD5 5f84cdae72cb47eb40d2fbea42ccc5cc
BLAKE2b-256 6adee1127b7a263ded97b09890bd36bcfd47600bcaa24380d841ff8d41f3aac2

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