Package Descriptions for Ubuntu

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  2. Template “ddtp-ubuntu-universe”
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60778 → 60787 of 78723 results First • • • Last
60778.
GvGen is a python class to generate dot files for further use with graphviz.
 
Description
(no translation yet)
Located in Package: python-gvgen
60779.
* Node creation, naming and connection
* Apply any graphviz property on the fly
* Apply graphviz properties to a style
* Add a legend to your graph easily
 
Description
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(no translation yet)
Located in Package: python-gvgen
60780.
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
60781.
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
60782.
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
60783.
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
60784.
Core of Hachoir framework: parse and edit binary files
 
Summary
essentiel du cadriciel Hachoir[nbsp]: analyse et édition de fichiers binaires
Translated by Michael Vogt
Located in Package: python-hachoir-core
60785.
Hachoir is a Python library used to represent of a binary file as a tree of Python objects. Each object has a type, a value, an address, etc. The goal is to be able to know the meaning of each bit in a file.
 
Description
Hachoir est une bibliothèque de Python utilisée pour représenter un fichier binaire sous forme d’arbre d’objets Python. Chaque objet possède un type, une valeur, une adresse,[nbsp]etc. L’objectif est d’être capable de savoir la signification de chaque bit dans un fichier.
Translated by Steve Langasek
Located in Package: hachoir
60786.
Why using slow Python code instead of fast hardcoded C code? Hachoir has many interresting features:
* Autofix: Hachoir is able to open invalid / truncated files
* Lazy: Open a file is very fast since no information is read from file,
data are read and/or computed when the user ask for it
* Types: Hachoir has many predefined field types (integer, bit, string, etc.)
and supports string with charset (ISO-8859-1, UTF-8, UTF-16, ...)
* Addresses and sizes are stored in bit, so flags are stored as classic fields
* Endian: You have to set endian once, and then number are converted in the
right endian
* Editor: Using Hachoir representation of data, you can edit, insert, remove
data and then save in a new file.
 
Description
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(no translation yet)
Located in Package: python-hachoir-core
60787.
Program to extract metadata using Hachoir library
 
Summary
Programme d’extraction des métadonnées utilisant la bibliothèque Hachoir
Translated by Michael Vogt
Located in Package: python-hachoir-metadata
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