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'contrib/python' section


toolbox of high-performance GPU primitives for 2D and 3D tomography (Python)

It supports 2D parallel and fan beam geometries, and 3D parallel and cone beam. All of them have highly flexible source/detector positioning. . A large number of 2D and 3D algorithms are available, including FBP, SIRT, SART, CGLS. . The basic forward and backward projection operations are GPU-accelerated, and directly callable from Octave and Python to enable building new algorithms. . This is the Python library.


toolbox of high-performance GPU primitives for 2D and 3D tomography (octave)

It supports 2D parallel and fan beam geometries, and 3D parallel and cone beam. All of them have highly flexible source/detector positioning. . A large number of 2D and 3D algorithms are available, including FBP, SIRT, SART, CGLS. . The basic forward and backward projection operations are GPU-accelerated, and directly callable from Octave and Python to enable building new algorithms. . This is the Octave library.

/contrib/bcbio/python3-bcbio

library for analysing high-throughput sequencing data

This package installs the Python 3 libraries of the bcbio-nextgen toolkit implementing best-practice pipelines for fully automated high throughput sequencing analysis. . A high-level configuration file specifies inputs and analysis parameters to drive a parallel pipeline that handles distributed execution, idempotent processing restarts and safe transactional steps. The project contributes a shared community resource that handles the data processing component of sequencing analysis, providing researchers with more time to focus on the downstream biology.


Python3 interface of Caffe (CUDA)

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and community contributors. . It contains the CUDA version of python3 Caffe interface.


Python library for integrating with Chargebee (Python 3/API v1)

The Python library for integrating with Chargebee Recurring Billing and Subscription Management solution. . Chargebee now supports two API versions - V1 and V2. This library is for the older API version V1. . This package conflicts with python3-chargebee2 which provides the V2 API in the same Python module namespace. . This is the Python 3 version of the package.


Python library for integrating with Chargebee (Python 2/API v1)

The Python library for integrating with Chargebee Recurring Billing and Subscription Management solution. . Chargebee now supports two API versions - V1 and V2. This library is for the older API version V1. . This package conflicts with python-chargebee2 which provides the V2 API in the same Python module namespace. . This is the Python 2 version of the package.


Python library for integrating with Chargebee (Python 3/API v2)

The Python library for integrating with Chargebee Recurring Billing and Subscription Management solution. . Chargebee now supports two API versions - V1 and V2. This library is for the newer API version V2. . This package conflicts with python3-chargebee which provides the V1 API in the same Python module namespace. . This is the Python 3 version of the package.


Python library for integrating with Chargebee (Python 2/API v2)

The Python library for integrating with Chargebee Recurring Billing and Subscription Management solution. . Chargebee now supports two API versions - V1 and V2. This library is for the newer API version V2. . This package conflicts with python-chargebee which provides the V1 API in the same Python module namespace. . This is the Python 2 version of the package.


Django email backend for multiple ESPs (Python 3)

Anymail integrates several transactional email service providers (ESPs) into Django, with a consistent API that lets you use ESP-added features without locking your code to a particular ESP. . It currently fully supports Mailgun, Postmark, SendGrid, and SparkPost, and has limited support for Mandrill. . Anymail normalizes ESP functionality so it "just works" with Django's built-in `django.core.mail` package. It includes: . * Support for HTML, attachments, extra headers, and other features of Django's built-in email * Extensions that make it easy to use extra ESP functionality, like tags, metadata, and tracking, with code that's portable between ESPs * Simplified inline images for HTML email * Normalized sent-message status and tracking notification, by connecting your ESP's webhooks to Django signals * "Batch transactional" sends using your ESP's merge and template features . This is the Python 3 version of the package.


Django email backend for multiple ESPs (Python 2)

Anymail integrates several transactional email service providers (ESPs) into Django, with a consistent API that lets you use ESP-added features without locking your code to a particular ESP. . It currently fully supports Mailgun, Postmark, SendGrid, and SparkPost, and has limited support for Mandrill. . Anymail normalizes ESP functionality so it "just works" with Django's built-in `django.core.mail` package. It includes: . * Support for HTML, attachments, extra headers, and other features of Django's built-in email * Extensions that make it easy to use extra ESP functionality, like tags, metadata, and tracking, with code that's portable between ESPs * Simplified inline images for HTML email * Normalized sent-message status and tracking notification, by connecting your ESP's webhooks to Django signals * "Batch transactional" sends using your ESP's merge and template features . This is the Python 2 version of the package.

/contrib/doris/python3-doris

Delft object-oriented radar interferometric software - Python tools

DORIS is an Interferometric Synthetic Aperture Radar (InSAR) processor developed by the Delft Institute of Earth Observation and Space Systems of Delft University of Technology. . Interferometric products and endproducts such as Digital Elevation Models and displacement maps can be generated with this software from Single Look Complex data. Data from the satellites ERS, ENVISAT (first ENVISAT interferogram, DEM, and perspective view, JERS (first JERS interferogram), and RADARSAT (first RADARSAT interferogram) can be processed with the Doris software. . This package contains support modules written in Python.


Python GUI interface and extensions for IFEFFIT

. This package provides the Python extensions and the G.I.FEFFIT (gifeffit) front end for IFEFFIT.


Python libzfs bindings

py-libzfs is a fairly straight-forward set of Python bindings for libzfs for ZFS on Linux and FreeBSD. . This package installs the library for Python 3.


Python 3 module to access Nvidia‘s CUDA parallel computation API

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. . This package contains Python 3 modules.


Python module to access Nvidia‘s CUDA parallel computation API

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.


Python High Speed Tomographic reconstruction

PyHST is a Python program for Tomographic data reconstruction based on direct filtered back-projection algorithm . This is the CUDA version


Python3 bindings to the NVIDIA Management Library

Provides a Python interface to GPU management and monitoring functions. . This is a wrapper around the NVML library. For information about the NVML library, see the NVML developer page http://developer.nvidia.com/nvidia-management-library-nvml


SparkPost Python API client (Python 3)

Super-mega-official Python package for using the SparkPost API. . Python and Python-Django integration with SparkPost's email transmission API. . This is the Python 3 version of the package.


SparkPost Python API client (Python 2)

Super-mega-official Python package for using the SparkPost API. . Python and Python-Django integration with SparkPost's email transmission API. . This is the Python 2 version of the package.


micro:bit MicroPython runtime downloader

This empty package will, at the time of installation, download the current MicroPython runtime for the micro:bit as bundled with uflash upstream. . The firmware image will be downloaded from https://github.com/ntoll/uflash and saved to /usr/share/firmware-microbit-micropython/firmware.hex . Note that this package will not flash MicroPython onto the micro:bit; that can be done with the uflash utility (package: python3-uflash).


native Python client for the Vertica database

HP Vertica is a commercial column-oriented database. . This package provides all the source, examples and documentation you need to easily connect to and interact with Vertica. . This is the Python 2 version of the package.


native Python client for the Vertica database (Python 3)

HP Vertica is a commercial column-oriented database. . This package provides all the source, examples and documentation you need to easily connect to and interact with Vertica. . This is the Python 3 version of the package.


Skype API wrapper for Python

Skype4Py is a high-level, platform independent Skype API wrapper for Python with API similar to Skype4COM. This package allows the development of applications written in Python that can interface with the popular voice-over-IP Skype program.


Python wrapper for the unrar shared library

Python library that provides access to libunrar


Python wrapper for the unrar shared library

Python library that provides access to libunrar


wrapper for libzfs_core C library

libzfs_core is intended to be a stable interface for programmatic administration of ZFS. This wrapper provides one-to-one wrappers for libzfs_core API functions, but the signatures and types are more natural to Python. . nvlists are wrapped as dictionaries or lists depending on their usage. Some parameters have default values depending on typical use for increased convenience. Enumerations and bit flags become strings and lists of strings in Python. Errors are reported as exceptions rather than integer errno-style error codes. The wrapper takes care to provide one-to-many mapping of the error codes to the exceptions by interpreting a context in which the error code is produced.