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This document describes the toolchain that we have developed to analyze and “compile” RPython programs (like PyPy itself) to various target platforms. It consists of three broad sections: a slightly simplified overview, a brief introduction to each of the major components of our toolchain and then a more comprehensive section describing how the pieces fit together. If you are reading this document
tox - automation project¶ tox aims to automate and standardize testing in Python. It is part of a larger vision of easing the packaging, testing and release process of Python software (alongside pytest and devpi). tox is a generic virtual environment management and test command line tool you can use for: checking your package builds and installs correctly under different environments (such as diff
execnet: Distributed Python deployment and communication home | install | examples | basic API | support Table Of Contents Features Known uses Project status Next topic Contact and Support channels Download Current: 1.4 [Changes] Get execnet from the Python Package Index, or install it with: easy_install -U execnet Questions? Suggestions? Join execnet-dev mailing list come to #pylib on FreeNode Py
lxml is the most feature-rich and easy-to-use library for working with XML and HTML in the Python language. Introduction lxml is a Pythonic binding for the libxml2 and libxslt libraries. It is unique in that it combines the speed and feature completeness of these libraries with the simplicity of a native Python API, mostly compatible but superior to the well-known ElementTree API. See the introduc
1 PyPy User Documentation getting started provides hands-on instructions including a two-liner to run the PyPy Python interpreter on your system, examples on advanced features and entry points for using PyPy's translation tool chain. FAQ contains some frequently asked questions. New features of PyPy's Python Interpreter and Translation Framework: What PyPy can do for your objects Stackless and c
1 What is PyPy ? PyPy is an implementation of the Python programming language written in Python itself, flexible and easy to experiment with. We target a large variety of platforms, small and large, by providing a compiler toolsuite that can produce custom Python versions. Platform, memory and threading models are aspects of the translation process - as opposed to encoding low level details into
If your code only uses the ElementTree API and does not rely on any functionality that is specific to lxml.etree, you can also use (any part of) the following import chain as a fall-back to the original ElementTree: try: from lxml import etree print("running with lxml.etree") except ImportError: try: # Python 2.5 import xml.etree.cElementTree as etree print("running with cElementTree on Python 2.5
The PyPy project aims at producing a flexible and fast Python implementation. The guiding idea is to translate a Python-level description of the Python language itself to lower level languages. Rumors have it that the secret goal is being faster-than-C which is nonsense, isn't it? more... Getting into PyPy ... PyPy Blog: news and status info about PyPy Documentation: extensive documentation about
Parsers Parsers are represented by parser objects. There is support for parsing both XML and (broken) HTML. Note that XHTML is best parsed as XML, parsing it with the HTML parser can lead to unexpected results. Here is a simple example for parsing XML from an in-memory string: >>> xml = '<a xmlns="test"><b xmlns="test"/></a>' >>> root = etree.fromstring(xml) >>> etree.tostring(root) b'<a xmlns="te
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Introduction lxml is a Pythonic binding for the libxml2 and libxslt libraries. It is unique in that it combines the speed and feature completeness of these libraries with the simplicity of a native Python API, mostly compatible but superior to the well-known ElementTree API. See the introduction for more information about background and goals. Some common questions are answered in the FAQ. This pa
modified Dec 5, 2007 by Maciek Fijalkowski This document describes coding requirements and conventions for working with the PyPy code base. Please read it carefully and ask back any questions you might have. The document does not talk very much about coding style issues. We mostly follow PEP 8 though. If in doubt, follow the style that is already present in the code base. 1 Overview and motivati
This document is about the usage of the py.test testing tool. There is also document describing the implementation and the extending of py.test. 1 starting point: py.test command line tool We presume you have done an installation as per the download page after which you should be able to execute the 'py.test' tool from a command line shell. py.test is the command line tool to run tests. You can
iCalendar package for Python The iCalendar package is a parser/generator of iCalendar files for use with Python. It follows the RFC 2445 (iCalendar) specification. Introduction I (Max M) have often needed to parse and generate iCalendar files. Finally I got tired of writing ad-hoc tools. So this is my attempt at making an iCalendar package for Python. The inspiration has come from the email packag
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