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RPMPackage python-matplotlib-1.1.0-1.lbn13.armv6hl
Matplotlib is a pure python plotting library with the goal of making publication quality plots using a syntax familiar to Matlab users. The library uses numpy for handling large data sets and supports a variety of output back-ends.
RPMPackage python-matplotlib-1.1.0-1.lbn13.x86_64
Matplotlib is a pure python plotting library with the goal of making publication quality plots using a syntax familiar to Matlab users. The library uses numpy for handling large data sets and supports a variety of output back-ends.
RPMPackage python-ldap-2.4.9-1.lbn13.x86_64
python-ldap provides an object-oriented API for working with LDAP within Python programs. It allows access to LDAP directory servers by wrapping the OpenLDAP 2.x libraries, and contains modules for other LDAP-related tasks (including processing LDIF, LDAPURLs, LDAPv3 schema, etc.).
RPMPackage python-ldap-2.4.9-1.lbn13.armv6hl
python-ldap provides an object-oriented API for working with LDAP within Python programs. It allows access to LDAP directory servers by wrapping the OpenLDAP 2.x libraries, and contains modules for other LDAP-related tasks (including processing LDIF, LDAPURLs, LDAPv3 schema, etc.).
RPMPackage python-kombu-2.5.4-1.lbn13.noarch
AMQP is the Advanced Message Queuing Protocol, an open standard protocol for message orientation, queuing, routing, reliability and security. One of the most popular implementations of AMQP is RabbitMQ. The aim of Kombu is to make messaging in Python as easy as possible by providing an idiomatic high-level interface for the AMQP protocol, and also provide proven and tested solutions to common messaging problems.
RPMPackage python-ipaddr-2.1.9-1.lbn13.noarch
python-ipaddr is a library for working with IP addresses, both IPv4 and IPv6. It was developed by Google for internal use, and is now open source.
RPMPackage python-importlib-1.0.2-2.lbn13.noarch
Backport of importlib.import_module() from Python 2.7
RPMPackage python-httplib2-0.7.1-1.lbn13.noarch
A comprehensive HTTP client library that supports many features left out of other HTTP libraries.
RPMPackage python-greenlet-0.3.4-2.lbn13.x86_64
Lightweight in-process concurrent programming
RPMPackage python-greenlet-0.3.4-2.lbn13.armv6hl
Lightweight in-process concurrent programming
RPMPackage python-gocept.munin-0.1-3.lbn13.noarch
This package provides base classes for defining Munin graphs and a main function to handle munin-typical symlinked scripts. Munin plugin scripts ==================== A single plugin file defines (multiple) graphs by subclassing the bases as mentioned in the next section. The main function uses the called script's filename to determine which of the defined graphs is relevant. Data for each graph is determined by retrieving a text file from a URL (with possibly given basic authentication data). The format for the data is plain/text wich each line having key/value pairs split by ':'. The values are expected to be floats. All graph bases expect two environment variables to be set: URL The URL at which to retrieve data from. Must include a '%s' which encodes the graph name. AUTH HTTP basic authentication information. Either empty or in the form of 'username:password'. The environment variables can be configured using munin's `plugin-conf.d` like this: The plugin is called `prefix_something_1`:: [prefix_*] env.URL http://foo:8900/myapp/munin?data=%s env.AUTH admin:admin Graph bases =========== The following base classes are currently defined: SimpleGraph A simple graph with a single value that is plotted as an absolute value. SimpleMultiGraph Multiple absolute values plotted on the same graph and scale. more bases will be added as needed. Main function ============= The main function handles munin-typical `type_option_index` symlink scripts by looking at the name from which the main script was called. Example script ============== Here's a sample script that you could symlink into the `plugins` directory:: from gocept.munin.client import SimpleGraph, main class people(SimpleGraph): name = key = 'people' title = 'How many people are there?' category = 'Office' main() [root@mistress gocept.munin-0.1]# cat README.txt ========================================== Utilities for writing munin client scripts ========================================== This package provides base classes for defining Munin graphs and a main function to handle munin-typical symlinked scripts. Munin plugin scripts ==================== A single plugin file defines (multiple) graphs by subclassing the bases as mentioned in the next section. The main function uses the called script's filename to determine which of the defined graphs is relevant. Data for each graph is determined by retrieving a text file from a URL (with possibly given basic authentication data). The format for the data is plain/text wich each line having key/value pairs split by ':'. The values are expected to be floats. All graph bases expect two environment variables to be set: URL The URL at which to retrieve data from. Must include a '%s' which encodes the graph name. AUTH HTTP basic authentication information. Either empty or in the form of 'username:password'. The environment variables can be configured using munin's `plugin-conf.d` like this: The plugin is called `prefix_something_1`:: [prefix_*] env.URL http://foo:8900/myapp/munin?data=%s env.AUTH admin:admin Graph bases =========== The following base classes are currently defined: SimpleGraph A simple graph with a single value that is plotted as an absolute value. SimpleMultiGraph Multiple absolute values plotted on the same graph and scale. more bases will be added as needed. Main function ============= The main function handles munin-typical `type_option_index` symlink scripts by looking at the name from which the main script was called. Example script ============== Here's a sample script that you could symlink into the `plugins` directory:: from gocept.munin.client import SimpleGraph, main class people(SimpleGraph): name = key = 'people' title = 'How many people are there?' category = 'Office' main()
RPMPackage python-gocept-0.1-3.lbn13.noarch
gocept python module
RPMPackage python-eventlet-0.9.16-2.lbn13.noarch
Highly concurrent networking library
RPMPackage python-eggtestinfo-0.3-2.lbn13.noarch
Add test information to .egg-info
RPMPackage python-dateutil-2.1-3.lbn13.noarch
The dateutil module provides powerful extensions to the standard datetime module available in Python 2.3+.
RPMPackage python-crypto-2.5-2.fc18.armv6hl
PyCrypto is a collection of both secure hash functions (such as MD5 and SHA), and various encryption algorithms (AES, DES, RSA, ElGamal, etc.).
RPMPackage python-crypto-2.5-1.lbn13.2.x86_64
Python-crypto is a collection of both secure hash functions (such as MD5 and SHA), and various encryption algorithms (AES, DES, RSA, ElGamal etc.).
RPMPackage python-counter-1.1-3.lbn13.noarch
A drop-in substitute for Py2.7's new collections.Counter that works in Python 2.4-2.6.
RPMPackage python-celery-3.0.12-3.lbn13.noarch
An open source asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on one or more worker nodes using multiprocessing, Eventlet or gevent. Tasks can execute asynchronously (in the background) or synchronously (wait until ready). Celery is used in production systems to process millions of tasks a day. Celery is written in Python, but the protocol can be implemented in any language. It can also operate with other languages using webhooks. The recommended message broker is RabbitMQ, but limited support for Redis, Beanstalk, MongoDB, CouchDB and databases (using SQLAlchemy or the Django ORM) is also available.
RPMPackage python-billiard-2.7.3.19-1.lbn13.x86_64
This package contains extensions to the multiprocessing Pool. billiard is a fork of the Python 2.7 multiprocessing package. The multiprocessing package itself is a renamed and updated version of R Oudkerk's pyprocessing package. This standalone variant is intended to be compatible with Python 2.4 and 2.5, and will draw it's fixes/improvements from python-trunk. * This package would not be possible if not for the contributions of not only the current maintainers but all of the contributors to the original pyprocessing package listed here * Also it is a fork of the multiprocessin backport package by Christian Heims. * It includes the no-execv patch contributed by R. Oudkerk. * And the Pool improvements previously located in Celery.