|
2026.
|
|
|
Almost do-nothing web framework that features:
* WSGI-enabled ie. can be used with mod_wsgi, mod_python, fast cgi, cgi, with
paste or even without even a server
* light weight
* can be tuned to be suitable for desktop apps or public web servers
* no extra dependencies
* very simple
|
|
|
Description
|
|
|
represents a line break.
Start a new line in the equivalent position in the translation.
|
|
|
represents a space character.
Enter a space in the equivalent position in the translation.
|
|
|
|
Fast nichts machendes Web-Rahmenwerk mit folgenden Funktionen:
* WSGI-fähig, kann z.B. mit mod_wsgi, mod_python, FastCGI und CGI benutzt werden,
ebenso mit Paste oder sogar ohne einen Server
* ressourcenschonend
* kann auf die Bedürfnisse von Arbeitsplatzanwendungen oder öffentlichen Webservern angepasst werden
* keine extra Abhängigkeiten
* sehr einfach
|
|
Translated and reviewed by
Hendrik Schrieber
|
|
|
|
Located in
Package: python3-okasha-examples
|
|
2027.
|
|
|
This package contains an example application using Okasha web framework.
|
|
|
Description
|
|
|
|
Dieses Paket enthält eine Beispielanwendung, die die Okasha-Rahmenanwendung nutzt.
|
|
Translated and reviewed by
Hendrik Schrieber
|
|
|
|
Located in
Package: python3-okasha-examples
|
|
2028.
|
|
|
library providing access to Quranic text with a fast search index
|
|
|
Summary
|
|
|
|
Bibliothek mit schneller Indexsuche, die den Zugriff auf den Text des Koran ermöglicht
|
|
Translated and reviewed by
Helene
|
|
|
|
Located in
Package: python3-othman
|
|
2029.
|
|
|
This is a Python module that provides access to Quranic text with a fast search index.
|
|
|
Description
|
|
|
|
Dies ist ein Python-Modul mit schneller Indexsuche, das den Zugriff auf den Text des Koran ermöglicht.
|
|
Translated and reviewed by
Helene
|
|
|
|
Located in
Package: python3-othman
|
|
2030.
|
|
|
OGC compliant metadata (Catalogue Service for the Web) server - Python 3
|
|
|
Summary
|
|
|
|
OGC-konformer Metadaten- (Katalogserver für das Web) Server - Python 3
|
|
Translated by
Stephan Woidowski
|
|
Reviewed by
Christoph Gerlach
|
|
|
|
Located in
Package: python3-pycsw
|
|
2031.
|
|
|
pycsw is an OGC CSW server implementation written in Python. pycsw fully implements the OpenGIS Catalogue Service Implementation Specification (Catalogue Service for the Web). Initial development started in 2010 (more formally announced in 2011). The project is certified OGC Compliant, and is an OGC Reference Implementation. Since 2015, pycsw is an official OSGeo Project. pycsw allows for the publishing and discovery of geospatial metadata via numerous APIs (CSW 2/CSW 3, OpenSearch, OAI-PMH, SRU). Existing repositories of geospatial metadata can also be exposed, providing a standards-based metadata and catalogue component of spatial data infrastructures. pycsw is Open Source, released under an MIT license, and runs on all major platforms (Windows, Linux, Mac OS X).
|
|
|
Description
|
|
|
|
(no translation yet)
|
|
|
|
Located in
Package: python3-pycsw
Package: pycsw-wsgi
Package: pycsw-doc
Package: pycsw
|
|
2032.
|
|
|
This package the pycsw module for Python 3.
|
|
|
Description
|
|
|
|
Dieses Paket enthält das pycsw-Modul für Python 3
|
|
Translated by
Stephan Woidowski
|
|
Reviewed by
Christoph Gerlach
|
|
|
|
Located in
Package: python3-pycsw
|
|
2033.
|
|
|
Python 3 module to access Nvidia‘s CUDA parallel computation API
|
|
|
Summary
|
|
|
|
Python 3-Modul für den Zugriff auf Nvidias CUDA-API für parallele Berechnungen
|
|
Translated by
Stephan Woidowski
|
|
Reviewed by
Christoph Gerlach
|
|
|
|
Located in
Package: python3-pycuda
|
|
2034.
|
|
|
PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python. Several wrappers of the CUDA API already exist–so what’s so special about PyCUDA?
* Object cleanup tied to lifetime of objects. This idiom, often called
RAII in C++, makes it much easier to write correct, leak- and crash-free
code. PyCUDA knows about dependencies, too, so (for example) it won’t
detach from a context before all memory allocated in it is also freed.
* Convenience. Abstractions like pycuda.driver.SourceModule and
pycuda.gpuarray.GPUArray make CUDA programming even more convenient than
with Nvidia’s C-based runtime.
* Completeness. PyCUDA puts the full power of CUDA’s driver API at your
disposal, if you wish.
* Automatic Error Checking. All CUDA errors are automatically translated
into Python exceptions.
* Speed. PyCUDA’s base layer is written in C++, so all the niceties
above are virtually free.
* Helpful Documentation.
|
|
|
Description
|
|
|
represents a line break.
Start a new line in the equivalent position in the translation.
|
|
|
represents a space character.
Enter a space in the equivalent position in the translation.
|
|
|
|
(no translation yet)
|
|
|
|
Located in
Package: python3-pycuda
Package: python-pycuda-doc
|
|
2035.
|
|
|
This package contains Python 3 modules.
|
|
|
Description
|
|
|
|
Dieses Paket enthält Python-3-Module.
|
|
Translated and reviewed by
Hendrik Schrieber
|
|
|
|
Located in
Package: python3-pycuda
|