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python-peak-util-extremes-1.1.1-6.fc19.noarch: The peak.util.extremes module provides a production-quality implementation of the Min and Max objects from PEP 326. While PEP 326 was rejected for inclusion in the language or standard library, the objects described in it are useful in a variety of applications. In PEAK, they have been used to implement generic functions (in RuleDispatch and PEAK-Rules), as well as to handle scheduling and time operations in the Trellis. Because this has led to each project copying the same code, we've now split the module out so it can be used independently.

python-peak-util-assembler-0.6-6.20100803svn2646.fc19.noarch: peak.util.assembler is a simple bytecode assembler module that handles most low-level bytecode generation details like jump offsets, stack size tracking, line number table generation, constant and variable name index tracking, etc. That way, you can focus your attention on the desired semantics of your bytecode instead of on these mechanical issues. In addition to a low-level opcode-oriented API for directly generating specific Python bytecodes, this module also offers an extensible mini-AST framework for generating code from high-level specifications. This framework does most of the work needed to transform tree-like structures into linear bytecode instructions, and includes the ability to do compile-time constant folding.

python-peak-util-addons-0.7-6.fc19.noarch: In any sufficiently-sized application or framework, it's common to end up lumping a lot of different concerns into the same class. For example, you may have business logic, persistence code, and UI all jammed into a single class. Attribute and method names for all sorts of different operations get shoved into a single namespace -- even when using mixin classes. Separating concerns into different objects, however, makes it easier to write reusable and separately-testable components. The AddOns package (``peak.util.addons``) lets you manage concerns using ``AddOn`` classes.

python-peak-rules-0.5a1.dev-16.a1.dev.20100803svn2646.fc19.noarch: PEAK-Rules is a highly-extensible framework for creating and using generic functions, from the very simple to the very complex. Out of the box, it supports multiple-dispatch on positional arguments using tuples of types, full predicate dispatch using strings containing Python expressions, and CLOS-like method combining. (But the framework allows you to mix and match dispatch engines and custom method combinations, if you need or want to.)

python-paver-1.2.1-1.fc19.noarch: Paver is a Python-based build/distribution/deployment scripting tool along the lines of Make or Rake. What makes Paver unique is its integration with commonly used Python libraries. Common tasks that were easy before remain easy. More importantly, dealing with your applications specific needs and requirements is now much easier. * Build files are just Python * One file with one syntax, pavement.py, knows how to manage your project * File operations are unbelievably easy, thanks to the built-in version of Jason Orendorff’s path.py. * Need to do something that takes 5 lines of code? It’ll only take 5 lines of code.. * Completely encompasses distutils and setuptools so that you can customize behavior as you need to. * Wraps Sphinx for generating documentation, and adds utilities that make it easier to incorporate fully tested sample code. * Wraps Subversion for working with code that is checked out. * Wraps virtualenv to allow you to trivially create a bootstrap script that gets a virtual environment up and running. This is a great way to install packages into a contained environment. * Can use all of these other libraries, but requires none of them * Easily transition from setup.py without making your users learn about or even install Paver! (See the Getting Started Guide for an example).

python-pathtools-0.1.2-1.lbn19.noarch: Pattern matching and various utilities for file systems paths.

python-paste-script-2.0.2-1.lbn19.noarch: Paster is pluggable command-line frontend, including commands to setup package file layouts Built-in features: * Creating file layouts for packages. For instance a setuptools-ready file layout. * Serving up web applications, with configuration based on paste.deploy

python-paste-deploy-1.5.2-1.lbn19.noarch: This tool provides code to load WSGI applications and servers from URIs; these URIs can refer to Python Eggs for INI-style configuration files. PasteScript provides commands to serve applications based on this configuration file.

python-paste-1.7.5.1-8.20111221hg1498.fc19.noarch: These provide several pieces of "middleware" (or filters) that can be nested to build web applications. Each piece of middleware uses the WSGI (PEP 333) interface, and should be compatible with other middleware based on those interfaces.

python-paramiko-1.10.1-1.fc19.noarch: Paramiko (a combination of the esperanto words for "paranoid" and "friend") is a module for python 2.3 or greater that implements the SSH2 protocol for secure (encrypted and authenticated) connections to remote machines. Unlike SSL (aka TLS), the SSH2 protocol does not require heirarchical certificates signed by a powerful central authority. You may know SSH2 as the protocol that replaced telnet and rsh for secure access to remote shells, but the protocol also includes the ability to open arbitrary channels to remote services across an encrypted tunnel. (This is how sftp works, for example.)

python-pandas-ply-0.2.1-1.lbn19.noarch: functional data manipulation for pandas

python-pandas-0.16.2-2.lbn19.x86_64: pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.

python-oauth2client-3.0.0-1.lbn19.noarch: This is a python client module for accessing resources protected by OAuth 2.0

python-nss-0.14.0-1.fc19.x86_64: This package provides Python bindings for Network Security Services (NSS) and the Netscape Portable Runtime (NSPR). NSS is a set of libraries supporting security-enabled client and server applications. Applications built with NSS can support SSL v2 and v3, TLS, PKCS #5, PKCS #7, PKCS #11, PKCS #12, S/MIME, X.509 v3 certificates, and other security standards. Specific NSS implementations have been FIPS-140 certified.

python-nss-0.14.0-1.fc19.armv6hl: This package provides Python bindings for Network Security Services (NSS) and the Netscape Portable Runtime (NSPR). NSS is a set of libraries supporting security-enabled client and server applications. Applications built with NSS can support SSL v2 and v3, TLS, PKCS #5, PKCS #7, PKCS #11, PKCS #12, S/MIME, X.509 v3 certificates, and other security standards. Specific NSS implementations have been FIPS-140 certified.

python-notebook-extensions-0.0.1-1.lbn19.noarch: Jupyter notebook extensions This repository contains a collection of extensions that add functionality to the Jupyter notebook. These extensions are mostly written in Javascript and will be loaded locally in your Browser. The IPython-contrib repository is maintained independently by a group of users and developers and not officially related to the IPython development team.

python-notebook-4.1.0b1-1.lbn19.noarch: The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Notebook has support for multiple programming languages, sharing, and interactive widgets.

python-nose-1.3.7-7.lbn19.noarch: nose extends the test loading and running features of unittest, making it easier to write, find and run tests. By default, nose will run tests in files or directories under the current working directory whose names include "test" or "Test" at a word boundary (like "test_this" or "functional_test" or "TestClass" but not "libtest"). Test output is similar to that of unittest, but also includes captured stdout output from failing tests, for easy print-style debugging. These features, and many more, are customizable through the use of plugins. Plugins included with nose provide support for doctest, code coverage and profiling, flexible attribute-based test selection, output capture and more.

python-netifaces-0.5-4.fc19.armv6hl: This package provides a cross platform API for getting address information from network interfaces.

python-netaddr-0.7.18-7.lbn19.noarch: A pure Python network address representation and manipulation library. netaddr provides a Pythonic way of working with :- - IPv4 and IPv6 addresses and subnets - MAC addresses, OUI and IAB identifiers, IEEE EUI-64 identifiers - arbitrary (non-aligned) IP address ranges and IP address sets - various non-CIDR IP range formats such as nmap and glob-style formats Included are routines for :- - generating, sorting and summarizing IP addresses and networks - performing easy conversions between address notations and formats - detecting, parsing and formatting network address representations - performing set-based operations on groups of IP addresses and subnets - working with arbitrary IP address ranges and formats - accessing OUI and IAB organisational information published by IEEE - accessing IP address and block information published by IANA For details on the latest updates and changes, see :- http://github.com/drkjam/netaddr/blob/rel-0.7.x/CHANGELOG API documentation for the latest release is available here :- http://packages.python.org/netaddr/

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