scikit-beam 0.0.26
pip install scikit-beam
Latest version
Released:
Data analysis tools for X-ray science
Navigation
Verified details
These details have been verified by PyPIMaintainers
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: BSD License (BSD)
- Author: Brookhaven National Lab
- Tags Xray, Analysis
Classifiers
- Development Status
- Intended Audience
- License
- Programming Language
- Topic
Project description
MAILING LIST
scikit-beam
Examples
scikit-beam-examples repository
- Powder calibration (still needs tilt correction)
- 1-time correlation
- Differential Phase Contrast
- Fast conversion to reciprocal space
- X-Ray Speckle Visibility Spectroscopy
- Basic Plotting of X-Ray Fluorescence Elemental Lines
Quick start
install with conda
conda install scikit-beam -c nsls2forge
install development version with setuptools
git clone git@github.com:scikit-beam/scikit-beam.git
cd scikit-beam
python setup.py install
set up for development
git clone git@github.com:scikit-beam/scikit-beam.git
cd scikit-beam
python setup.py develop
pip install pytest coverage setuptools
make sure all the tests pass!
python run_tests.py
and you can check the code coverage with
coverage run run_tests.py
coverage report -m
Project details
Verified details
These details have been verified by PyPIMaintainers
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: BSD License (BSD)
- Author: Brookhaven National Lab
- Tags Xray, Analysis
Classifiers
- Development Status
- Intended Audience
- License
- Programming Language
- Topic
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
File details
Details for the file scikit-beam-0.0.26.tar.gz
.
File metadata
- Download URL: scikit-beam-0.0.26.tar.gz
- Upload date:
- Size: 597.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4852b9c641a392d37bdca43353925a3cb7465f03017038238e3fc08238b70c64 |
|
MD5 | 8b6ee1380fe01cfc450f71adcd7f5184 |
|
BLAKE2b-256 | 8b33bb9a59714fb24f2c097acd6e5a78937ae4905c3a06aa036faf74e7e03bbe |