Computational Photonics in Python
Project description
GYPTIS
Computational photonics in Python
Gyptis is a package to solve Maxwell’s equations with the finite element method. It is in early stage and currently being actively developed, so features might come and go.
Installation
Docker
Prebuilt container images are available at DockerHub
On quick way of testing is getting the installation script
curl -s https://gyptis.gitlab.io/get | bashOr you can pull the docker image
docker pull gyptis/gyptis:latestContributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
License
MIT, see LICENCE.txt
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
gyptis-0.1.2.tar.gz
(36.3 kB
view details)
Built Distribution
File details
Details for the file gyptis-0.1.2.tar.gz.
File metadata
- Download URL: gyptis-0.1.2.tar.gz
- Upload date:
- Size: 36.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.1 setuptools/49.6.0.post20210108 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 248bfa332f7c40ca6e19ac660964ab64fe0d3881880c3481b6192d532edfc1ac |
|
| MD5 | ad73e38882522a4e3de27941582e9ab5 |
|
| BLAKE2b-256 | 2f9365839316563b93f37c124568282661db952dd958c0200d16b06a04cfbb33 |
File details
Details for the file gyptis-0.1.2-py2.py3-none-any.whl.
File metadata
- Download URL: gyptis-0.1.2-py2.py3-none-any.whl
- Upload date:
- Size: 44.7 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.1 setuptools/49.6.0.post20210108 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 01ce476c3f86f5548a23fb503721e7a2e65ab7f18de97a4b722990869469c87b |
|
| MD5 | 7cb9660797d3a482d45a71ff8a9e08da |
|
| BLAKE2b-256 | 184591f4d72a79eeb8877713fe40bb364a0bb53b7a6c24993205e1c4e3b58277 |
