guiqwt 3.0.1-1build1 source package in Ubuntu
Changelog
guiqwt (3.0.1-1build1) xenial; urgency=medium * No-change rebuild to drop python3.4 support. -- Matthias Klose <email address hidden> Tue, 19 Jan 2016 13:33:19 +0000
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Xenial
- Original maintainer:
- Debian Science Team
- Architectures:
- any all
- Section:
- science
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
guiqwt_3.0.1.orig.tar.gz | 3.4 MiB | 6f76f36d330a2103cc94f8928e5df8c09b9db11184ec14c15d758dfb93c6fad9 |
guiqwt_3.0.1-1build1.debian.tar.xz | 16.0 KiB | 62ba77b0c94684a137a4ea0e1e2c4ee516ac3368bfa45eb2b833a2b8f1706932 |
guiqwt_3.0.1-1build1.dsc | 2.3 KiB | 1d865d17e01ee6826307f161e4e6f73aaaa4d8b71c853914be3e5bd680a56ddb |
Available diffs
- diff from 3.0.1-1 (in Debian) to 3.0.1-1build1 (316 bytes)
Binary packages built by this source
- python-guiqwt: efficient 2D data-plotting library - Python 2
The guiqwt Python library provides efficient 2D data-plotting features
(curve/image visualization and related tools) for signal/image processing
application development and interactive computing. It's based on the
scientific modules NumPy and SciPy, and the PyQwt plotting widgets for
PyQt4 graphical user interfaces.
.
This is the Python 2 version of the package.
- python-guiqwt-doc: efficient 2D data-plotting library - Documentation
The guiqwt Python library provides efficient 2D data-plotting
features (curve/image visualization and related tools) for
signal/image processing application development and interactive
computing. It's based on the scientific modules NumPy and SciPy, and
the PyQwt plotting widgets for PyQt4 graphical user interfaces.
.
This is the documentation of the package.
- python3-guiqwt: efficient 2D data-plotting library - Python 3
The guiqwt Python library provides efficient 2D data-plotting
features (curve/image visualization and related tools) for
signal/image processing application development and interactive
computing. It's based on the scientific modules NumPy and SciPy, and
the PyQwt plotting widgets for PyQt4 graphical user interfaces.
.
This is the Python 3 version of the package.