guiqwt 3.0.1-1 source package in Ubuntu
Changelog
guiqwt (3.0.1-1) unstable; urgency=medium * Imported Upstream version 3.0.1 -- Picca Frédéric-Emmanuel <email address hidden> Sat, 05 Dec 2015 12:36:30 +0100
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- 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 |
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guiqwt_3.0.1-1.dsc | 2.3 KiB | 0f6aced2c535c09e1a9121c8983b14f2d447de5e4cdadc622e5731fe6364d8b3 |
guiqwt_3.0.1.orig.tar.gz | 3.4 MiB | 6f76f36d330a2103cc94f8928e5df8c09b9db11184ec14c15d758dfb93c6fad9 |
guiqwt_3.0.1-1.debian.tar.xz | 16.0 KiB | 1ec56517d470b99f1cbbb4f5e21e56fa749b6178e99e4cf6bb245dcb4d55e597 |
Available diffs
- diff from 2.3.1-1 to 3.0.1-1 (124.1 KiB)
No changes file available.
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.