Package Descriptions for Ubuntu

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  1. Series trusty
  2. Template “ddtp-ubuntu-universe”
  3. French (fr)
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66014 → 66023 of 82199 results First • • • Last
66014.
It supports both Gtk's Python bindings, PyGObject and PyGtk, and for both Python 2 and 3 with automatic switching and binding autodetection. For automatic translation of the user interface it can use GEdit's translation files.
 
Description
(no translation yet)
Located in Package: python3-gtkspellcheck Package: python-gtkspellcheck-doc Package: python-gtkspellcheck
66015.
This package contains the Python 3 version with support for PyGObject.
 
Description
Ce paquet contient la version Python 3 avec prise en charge pour PyGObject.
Translated by Sylvie Gallet
Reviewed by Jean-Marc
Located in Package: python3-gtkspellcheck
66016.
guest disk image management system - Python 3 bindings
 
Summary
(no translation yet)
Located in Package: python3-guestfs
66017.
This package contains the Python 3 bindings.
 
Description
Ce paquet contient les liaisons Python 3.
Translated by Sylvie Gallet
Reviewed by Jean-Marc
Located in Package: python3-savitar Package: python3-pysword Package: python3-pygetdata Package: python3-plist Package: python3-pivy Package: python3-opendht Package: python3-nlopt Package: python3-miniupnpc Package: python3-libtrace Package: python3-libnatpmp Package: python3-liblinear Package: python3-guestfs Package: python3-grpcio Package: python3-gensio Package: libcasa-python3-7t64
66018.
h5py is a general-purpose Python interface to hdf5
 
Summary
h5py est une interface polyvalente Python à hdf5
Translated by Pierre Slamich
Reviewed by gisele perreault
Located in Package: python-h5py
66019.
HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data.
 
Description
HDF5 pour Python (h5py) est une interface Python généraliste pour la bibliothèque Hierarchical Data Format, version[nbsp]5. HDF5 est une bibliothèque polyvalente, scientifiquement mature, conçue pour un stockage rapide et flexible d'énormes quantités de données.
Translated by Michael Vogt
Located in Package: python3-h5py-serial Package: python3-h5py-mpi Package: python3-h5py Package: python-h5py-doc
66020.
From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax.
 
Description
Du point de vue d'un programmeur Python, HDF5 offre une manière robuste de stocker des données, organisées par nom sous forme arborescente. Des bases de données peuvent être créées (baies de stockage) de centaines de gigaoctets et effectuer des accès E/S aléatoires dans les sections désirées. Les jeux de données sont organisés dans une hiérarchie de type système de fichiers en utilisant des conteneurs appelés «[nbsp]groupes[nbsp]», et auxquels l’accès se fait en utilisant la syntaxe traditionnelle POSIX /chemin/vers/ressource.
Translated by Michael Vogt
Located in Package: python3-h5py-serial Package: python3-h5py-mpi Package: python3-h5py Package: python-h5py-doc
66021.
H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name.
 
Description
H5py fournit une interface simple, robuste en lecture/écriture, pour les données HDF5 à partir de Python. Les concepts existants de Python et Numpy sont utilisés pour l'interface[nbsp]; par exemple, les jeux de données sur le disque sont représentés par une classe mandataire qui gère le transfert de sous-ensembles (slicing) et qui possède les attributs dtype et shape. Les groupes HDF5 sont présentés en utilisant la métaphore d'un dictionnaire, indexés par nom.
Translated by Michael Vogt
Located in Package: python3-h5py-serial Package: python3-h5py-mpi Package: python3-h5py Package: python-h5py-doc
66022.
Hamcrest framework for matcher objects (Python 3)
 
Summary
(no translation yet)
Located in Package: python3-hamcrest
66023.
PyHamcrest is a framework for writing matcher objects, allowing you to declaratively define "match" rules. There are a number of situations where matchers are invaluable, such as UI validation, or data filtering, but it is in the area of writing flexible tests that matchers are most commonly used. This tutorial shows you how to use PyHamcrest for unit testing.
 
Description
(no translation yet)
Located in Package: python-hamcrest
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