nipy 0.1.999-2build1 source package in Ubuntu
Changelog
nipy (0.1.999-2build1) precise; urgency=low * Rebuild to pick up numpy-abi9 on armel -- Julian Taylor <email address hidden> Sun, 19 Feb 2012 14:46:47 +0100
Upload details
- Uploaded by:
- Julian Taylor
- Uploaded to:
- Precise
- Original maintainer:
- NeuroDebian Team
- Architectures:
- any
- Section:
- python
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Precise | release | universe | python |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
nipy_0.1.999.orig.tar.gz | 1.8 MiB | df785e6646a11dead192cbd3cb54fd91309496e38047e2619e9b49fc3c12e5e7 |
nipy_0.1.999-2build1.debian.tar.gz | 8.0 KiB | 36ee9c4c9c6115ed696524089e02a1a3365f71c9c9c594eac66aca8da0075d37 |
nipy_0.1.999-2build1.dsc | 2.2 KiB | 1cb8a171257f91394626de746dff331d70e6071b4bdcad435a740bb9887e1c86 |
Available diffs
Binary packages built by this source
- python-nipy: Analysis of structural and functional neuroimaging data
NiPy is a Python-based framework for the analysis of structural and
functional neuroimaging data. It provides functionality for
- General linear model (GLM) statistical analysis
- Combined slice time correction and motion correction
- General image registration routines with flexible cost functions,
optimizers and re-sampling schemes
- Image segmentation
- Basic visualization of results in 2D and 3D
- Basic time series diagnostics
- Clustering and activation pattern analysis across subjects
- Reproducibility analysis for group studies
- python-nipy-doc: documentation and examples for NiPy
This package contains NiPy documentation in various formats (HTML,
TXT) including
* User manual
* Developer guidelines
* API documentation
- python-nipy-lib: No summary available for python-nipy-lib in ubuntu quantal.
No description available for python-nipy-lib in ubuntu quantal.
- python-nipy-lib-dbg: Analysis of structural and functional neuroimaging data
NiPy is a Python-based framework for the analysis of structural and
functional neuroimaging data.
.
This package provides debugging symbols for architecture-dependent
builds of the libraries.