"…mais ce serait peut-être l'une des plus grandes opportunités manquées de notre époque si le logiciel libre ne libérait rien d'autre que du code…"

Quelques liens sur des modules python intéressants: plac, tox, shinken, six

Posted by patrick sur juillet 13, 2010

  • http://pypi.python.org/pypi/plac/ (‘…There is no want of command line arguments parsers in the Python world. The standard library alone contains three different modules: getopt (from the stone age), optparse (from Python 2.3) and argparse (from Python 2.7). All of them are quite powerful and especially argparse is an industrial strength solution; unfortunately, all of them feature a non-zero learning curve and a certain verbosity. They do not scale down well, at least in my opinion. It should not be necessary to stress the importance of scaling down; nevertheless, a lot of people are obsessed with features and concerned with the possibility of scaling up, forgetting the equally important issue of scaling down. This is an old meme in the computing world: programs should address the common cases simply and simple things should be kept simple, while at the same keeping difficult things possible. plac adhere as much as possible to this philosophy and it is designed to handle well the simple cases, while retaining the ability to handle complex cases by relying on the underlying power of argparse. Technically plac is just a simple wrapper over argparse which hides most of its complexity by using a declarative interface: the argument parser is inferred rather than written down by imperatively. Still, plac is surprisingly scalable upwards, even without using the underlying argparse. I have been using Python for 8 years and in my experience it is extremely unlikely that you will ever need to go beyond the features provided by the declarative interface of plac: they should be more than enough for 99.9% of the use cases. plac is targetting especially unsophisticated users, programmers, sys-admins, scientists and in general people writing throw-away scripts for themselves, choosing the command line interface because it is the quick and simple. Such users are not interested in features, they are interested in a small learning curve: they just want to be able to write a simple command line tool from a simple specification, not to build a command-line parser by hand. Unfortunately, the modules in the standard library forces them to go the hard way. They are designed to implement power user tools and they have a non-trivial learning curve. On the contrary, plac is designed to be simple to use and extremely concise, as the examples below will show…’)
    • http://micheles.googlecode.com/hg/plac/doc/plac.html#plac-vs-the-rest-of-the-world (‘…Originally plac boasted about being « the easiest command-line arguments parser in the world ». Since then, people started pointing out to me various projects which are based on the same idea (extracting the parser from the main function signature) and are arguably even easier than plac: opterator by Dusty Phillips CLIArgs. Luckily for me none of such projects had the idea of using function annotations and argparse; as a   consequence, they are no match for the capabilities of plac. Of course, there are tons of other libraries to parse the command line. For instance Clap by Matthew Frazier which appeared on PyPI just the day before plac; Clap is fine but it is certainly not easier than placplac can also be used as a replacement of the cmd module in the standard library and as such it shares many features with the module cmd2 by Catherine Devlin. However, this is completely coincidental, since I became aware of the cmd2 module only after writing plac. by Pavel Panchekha ..’)
  • http://codespeak.net/tox/ (‘tox aims to automate state-of-the-art packaging, testing and deployment of Python software right from your console or CI server, invoking your tools of choice‘)
  • http://packages.python.org/six/ (‘Six provides simple utilities for wrapping over differences between Python 2 and Python 3.‘)
  • http://www.shinken-monitoring.org/faq/ (‘Shinken is a new monitoring tool in AGLv3 written in Python compatible with Nagios. The main goal of Shinken is to allow users to have a fully flexible architecture for their monitoring system that can easily scale to large environments. Shinken is backward compatible with the Nagios configuration standard and plugins. It works on any operative system and architecture that supports Python, which includes Windows and Mac OS X/Darwin‘)


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