python-nixio 1.5.3+dfsg-1 source package in Ubuntu
Changelog
python-nixio (1.5.3+dfsg-1) unstable; urgency=medium * Source upload to unstable. * d/copyright: better formalize "progress" function. The file initially mentioned the use of a function covered by Expat license through a Comment field. This change makes the comment machine-readable in copyright 1.0 format; a copy of the Expat license is shipped along. * d/control: declare compliance to standards version 4.7.0. -- Étienne Mollier <email address hidden> Sat, 27 Apr 2024 23:24:13 +0200
Upload details
- Uploaded by:
- Debian Python Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Python Team
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Oracular | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
python-nixio_1.5.3+dfsg-1.dsc | 2.5 KiB | 90f02c6336f386f55f21ee0c076e2e9d759da182bcbb20a7031a88323d103886 |
python-nixio_1.5.3+dfsg.orig.tar.xz | 1.5 MiB | 5f2d24ee1514e2810752c9093e2afe67b37f73618a16e98d059d030867c22ec6 |
python-nixio_1.5.3+dfsg-1.debian.tar.xz | 5.1 KiB | 9e3f894f581adb317c77a328319c6169f0a05b23d2f8318a569c0031861c560e |
No changes file available.
Binary packages built by this source
- python-nixio-doc: NIX data model implementation in pure Python - documentation
The NIXIO module is the native Python re-implementation of the NIX C++ library
for the NIX data model.
.
The NIX data model allows one to store fully annotated scientific datasets,
i.e. the data together with its metadata within the same container. Long term
plan is to achieve standardization by providing a common/generic data
structure for a multitude of data types.
.
This package contains the nixio Python module documentation.
- python3-nixio: NIX data model implementation in pure Python
The NIXIO module is the native Python re-implementation of the NIX C++ library
for the NIX data model.
.
The NIX data model allows one to store fully annotated scientific datasets,
i.e. the data together with its metadata within the same container. Long term
plan is to achieve standardization by providing a common/generic data
structure for a multitude of data types.
.
The current implementations store the actual data using the HDF5 file format
as a storage backend.