Modified items

All recently modified items, latest first.

python-qtconsole-4.1.1-2.lbn19.noarch: Qt-based console for Jupyter with support for rich media output

python-pygments-2.0.2-1.lbn19.noarch: Pygments is a generic syntax highlighter for general use in all kinds of software such as forum systems, wikis or other applications that need to prettify source code. Highlights are: * a wide range of common languages and markup formats is supported * special attention is paid to details that increase highlighting quality * support for new languages and formats are added easily; most languages use a simple regex-based lexing mechanism * a number of output formats is available, among them HTML, RTF, LaTeX and ANSI sequences * it is usable as a command-line tool and as a library * ... and it highlights even Brainf*ck!

python-pycurl-7.43.0-3.lbn19.x86_64: PycURL is a Python interface to libcurl. PycURL can be used to fetch objects identified by a URL from a Python program, similar to the urllib Python module. PycURL is mature, very fast, and supports a lot of features.

python-pycurl-7.19.0-15.1.fc19.armv6hl: PycURL is a Python interface to libcurl. PycURL can be used to fetch objects identified by a URL from a Python program, similar to the urllib Python module. PycURL is mature, very fast, and supports a lot of features.

python-pycparser-2.14-5.lbn19.noarch: pycparser is a complete parser for the C language, written in pure Python. It is a module designed to be easily integrated into applications that need to parse C source code.

python-pyblock-0.53-4.fc19.armv6hl: The pyblock contains Python modules for dealing with block devices.

python-pyblock-0.53-4.fc19.x86_64: The pyblock contains Python modules for dealing with block devices.

python-pwquality-1.2.3-1.fc19.x86_64: This is pwquality Python module that provides Python bindings for the libpwquality library. These bindings can be used for easy password quality checking and generation of random pronounceable passwords from Python applications.

python-pwquality-1.2.1-2.fc19.armv6hl: This is pwquality Python module that provides Python bindings for the libpwquality library. These bindings can be used for easy password quality checking and generation of random pronounceable passwords from Python applications.

python-psycopg2-2.6.1-5.lbn19.x86_64: Psycopg is the most popular PostgreSQL adapter for the Python programming language. At its core it fully implements the Python DB API 2.0 specifications. Several extensions allow access to many of the features offered by PostgreSQL.

python-psycopg2-2.4.5-7.fc19.armv6hl: Psycopg is the most popular PostgreSQL adapter for the Python programming language. At its core it fully implements the Python DB API 2.0 specifications. Several extensions allow access to many of the features offered by PostgreSQL.

python-prettytable-0.7.2-7.lbn19.noarch: PrettyTable is a simple Python library designed to make it quick and easy to represent tabular data in visually appealing ASCII tables. It was inspired by the ASCII tables used in the PostgreSQL shell psql. PrettyTable allows for selection of which columns are to be printed, independent alignment of columns (left or right justified or centred) and printing of "sub-tables" by specifying a row range.

python-pip-9.0.1-1.lbn19.noarch: Pip is a replacement for `easy_install <http://peak.telecommunity.com/DevCenter/EasyInstall>`_. It uses mostly the same techniques for finding packages, so packages that were made easy_installable should be pip-installable as well.

python-pillow-3.2.0-1.lbn19.1.x86_64: Python image processing library, fork of the Python Imaging Library (PIL) This library provides extensive file format support, an efficient internal representation, and powerful image processing capabilities. There are four subpackages: tk (tk interface), qt (PIL image wrapper for Qt), devel (development) and doc (documentation).

python-pexpect-2.5.1-8.fc19.noarch: Pexpect is a pure Python module for spawning child applications; controlling them; and responding to expected patterns in their output. Pexpect works like Don Libes' Expect. Pexpect allows your script to spawn a child application and control it as if a human were typing commands. Pexpect can be used for automating interactive applications such as ssh, ftp, passwd, telnet, etc. It can be used to automate setup scripts for duplicating software package installations on different servers. And it can be used for automated software testing. Pexpect is in the spirit of Don Libes' Expect, but Pexpect is pure Python. Unlike other Expect-like modules for Python, Pexpect does not require TCL or Expect nor does it require C extensions to be compiled. It should work on any platform that supports the standard Python pty module.

python-peak-util-symbols-1.0-9.fc19.noarch: SymbolType gives you access to the peak.util.symbols module, previously available only by installing the full PEAK toolkit. peak.util.symbols provides a Symbol type and two built-in symbols that are used by PEAK: NOT_FOUND and NOT_GIVEN.

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.


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