A python package for gravitational-wave detector characterisation
Project description
GWDetChar is a python package for for gravitational-wave detector characterisation and data quality.
https://gwdetchar.readthedocs.io
Installation
GWDetChar is best installed with conda:
conda install -c conda-forge gwdetchar
but can also be installed with pip:
python -m pip install gwdetchar
Contributing
All code should follow the Python Style Guide outlined in PEP 0008; users can use the flake8 package to check their code for style issues before submitting.
See the contributions guide for the recommended procedure for proposing additions/changes.
Project details
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
gwdetchar-1.0.1.tar.gz
(135.6 kB
view details)
Built Distribution
gwdetchar-1.0.1-py2.py3-none-any.whl
(173.9 kB
view details)
File details
Details for the file gwdetchar-1.0.1.tar.gz
.
File metadata
- Download URL: gwdetchar-1.0.1.tar.gz
- Upload date:
- Size: 135.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 88db3af35d052e77ab9f69812a4825caca40a696984f867502c15bf9c65d8ece |
|
MD5 | 061290e46c8395c4969ed80c6dd78466 |
|
BLAKE2b-256 | 5e960b8a97711f088a7e75dc1eb77b77676d79bd70759bbd058f9fc07aec3495 |
File details
Details for the file gwdetchar-1.0.1-py2.py3-none-any.whl
.
File metadata
- Download URL: gwdetchar-1.0.1-py2.py3-none-any.whl
- Upload date:
- Size: 173.9 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.7.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b506df21e16074b1f15a66864f3d375251abbe51e6cff12e164eeefbd8280201 |
|
MD5 | af13d7683a6338cd418fff59299c82a0 |
|
BLAKE2b-256 | 0d5fe951fd99464ae4f6fbecc2b948f4e4b6dfc14de08bfc592644515719d43f |