Scientific Python for data analysis at the Soft Matter Interface (SMI) beamline at NSLS-II
Project description
smi-analysis
Tools for data analysis and reduction at SMI beamline at NSLS-II
Python packages needed: Fabio, pyFAI, matplotlib, numpy and pyGIX
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
smi-analysis-0.2.1.tar.gz
(45.2 kB
view details)
Built Distribution
File details
Details for the file smi-analysis-0.2.1.tar.gz.
File metadata
- Download URL: smi-analysis-0.2.1.tar.gz
- Upload date:
- Size: 45.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 7b12febc1c97f415314aad183d4220867c790cff6f1c2c65de23fa942117a435 |
|
| MD5 | 30cb8b88258faacbf25c03c748718354 |
|
| BLAKE2b-256 | b849be12eb2f4da2a3312ea01e98df1c1f703a13a2a29da921e81cb6ba052e6d |
File details
Details for the file smi_analysis-0.2.1-py3-none-any.whl.
File metadata
- Download URL: smi_analysis-0.2.1-py3-none-any.whl
- Upload date:
- Size: 26.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 6c23628f32a8176ff10426db2695e6733b012aefbe3cc5091461e42f2f0a8668 |
|
| MD5 | 9c9e084b883379df77afb4bce205a8e0 |
|
| BLAKE2b-256 | 1311a837fa62ae078283e6635940a8bf0b718885f7ea47f68c2119c451da1f18 |
