semvec/pypi-packages huggingface dataset:
FastPt 0.1dev
Really fast well-formed xml templates
License: MIT
Keywords: template xml

Are you tired of the slow performance of Genshi? But
      you still long for the assurance that your output is well-formed that you
      miss from all those other templating engines? Do you wish you had Jinja's
      blocks with Genshi's syntax? Then look  no further, FastPt is for you!
      FastPt uses lxml to *quickly* compile Genshi-like syntax to *real python
      bytecode* that renders with blazing-fast speed! Don't delay! Pick up your
      copy of FastPt today!
repoze-oauth-plugin 0.2
OAuth plugin for repoze.who and repoze.what
License: MIT
Keywords: auth repoze repoze.who repoze.what predicate oauth

repoze-oauth-plugin
===================

repoze-oauth-plugin is a repoze.who_ and repoze.what_ plugin implementing the
server side of the `OAuth 1.0`_ protocol. It supports both:

* 2-legged flow where the client is at the same time a resource owner and
* 3-legged flow where the client acts on behalf of a resource owner.

You can read more about OAuth at hueniverse_.

Installation
------------

easy_install_::

    $ <env>/bin/easy_install repoze-oauth-plugin

pip_::

    $ <env>/bin/pip install repoze-oauth-plugin

Documentation
-------------

The documentation can be found at packages.python.org_.

Source
------

The source code repository can be found at GitHub_.

.. _repoze.who: http://static.repoze.org/whodocs/ 
.. _repoze.what: http://what.repoze.org/docs/1.0/ 
.. _OAuth 1.0: http://oauth.net/core/1.0a/ 
.. _hueniverse: http://hueniverse.com/oauth/ 
.. _2-legged flow: http://hueniverse.com/oauth/guide/terminology/ 
.. _GitHub: http://github.com/kaukas/repoze-oauth-plugin 
.. _easy_install: http://peak.telecommunity.com/DevCenter/EasyInstall 
.. _pip: http://pip.openplans.org/ 
.. _packages.python.org: http://packages.python.org/repoze-oauth-plugin/
pyphylip 0.0.2
a python module to read and write phylip alignment files
License: MIT

About pyphylip
==============

Read and write files in the phylip sequence format_.


Installation
============

Because pyphylip has been packaged for pypi,
it can be installed using::

    $ pip install pyphylip


Usage
=====

Decode a phylip sequence file given a source of lines in the file::

    >>> with open('infile.phy') as f:
    ...     headers, sequences = pyphylip.decode(f)

Encode some headers and corresponding sequences as a phylip sequence file::

    >>> with open('outfile.phy', 'w') as f:
    ...     f.write(pyphylip.encode(headers, sequences) + '\n')


.. _format: http://evolution.genetics.washington.edu/phylip/doc/sequence.html
superpy 1.2.6
Parallel processing tools for supercomputing with python.
License: MIT
Keywords: parallel,super,process

Superpy distributes python programs across a cluster of machines or across multiple processors on a single machine. This is a coarse-grained form of parallelism in the sense that remote tasks generally run in separate processes and do not share memory with the caller.

Key features of superpy include:

 * Send tasks to remote servers or to same machine via XML RPC call
 * GUI to launch, monitor, and kill remote tasks
 * GUI can automatically launch tasks every day, hour, etc.
 * Works on the Microsoft Windows operating system
   * Can run as a windows service
   * Jobs submitted to windows can run as submitting user or as service user
 * Inputs/outputs are python objects via python pickle
 * Pure python implementation
 * Supports simple load-balancing to send tasks to best servers

The ultimate vision for superpy is that you:
 1. Install it as an always on service on a cloud of machines
 1. Use the superpy scheduler to easily send python jobs into the cloud as needed
 1. Use the {{{SuperWatch}}} GUI to track progress, kill tasks, etc.

For smaller deployments, you can use superpy to take advantage of multiple processors on a single machine or multiple machines to maximize computing power.

What makes superpy different than the many other excellent parallel
processing packages already available for python? The superpy package
is designed to allow sending jobs across a large number of machines
(both Windows and LINUX). This requires the ability to monitor, debug,
and otherwise get information about the status of jobs.

While superpy is currently used in production for a number of different purposes, there are still many features we want to add. For a list of future plans and opportunities to help out or add to the discussion, please visit http://code.google.com/p/superpy/wiki/HelpImproveSuperpy.

For a quick example of some of the the things superpy can do, check out http://code.google.com/p/superpy/wiki/Demos or in particular the demo application PyFog at http://code.google.com/p/superpy/wiki/PyFog.

To install, you can use easy_install to try superpy via "easy_install superpy" or download a python egg from http://code.google.com/p/superpy/downloads. Of course, you will need python installed and if you are using windows, you should also install the python windows tools from http://sourceforge.net/projects/pywin32/files. See http://code.google.com/p/superpy/wiki/InstallFAQ if you have more questions about installation.

Release notes for version 1.2.6:

 * Minor changes to support python 2.6.