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Je sais, je ferais mieux d'être constructif, au lieu de râler, et de dire du mal des autres programmeurs.
When developers shift from PHP, Ruby or any other platform to Python, the very first road block they face (most often) is a lack of an overall understanding of the Python ecosystem. Developers often yearn for a tutorial or resource that explains how to accomplish most tasks in a more or less standard way. What follows is an extract from the internal wiki at my workplace , which documents the basics of the Python ecosystem for web application development for our interns, trainees and experienced developers who shift to Python from other platforms.
The theme music for this blog post is: Air - Playground Love . Python is the best language in the world for interacting with the web, and I'm going to show you why.
Change notes: 2/22/98, 3/2/98, 12/4/00: This version of this essay fixes several bugs in the code.
Spoiler: This post is primarily gonna be an excerpt of my bookmarks collection.
Waf is a Python-based framework for configuring, compiling and installing applications. Here are perhaps the most important features of Waf:
Pipe is a Python module enabling infix syntax in Python. For those asking “Why ?” let’s take an example :
We've covered Linked Data - a W3C specification for publishing structured data - frequently at ReadWriteWeb. We've covered its importance , its growth and various projects and tools taking advantage of it. But what about tools to actually get your hands dirty and work with it yourself? RDF is one way of using Linked Data.
Pattern is a collection of open source (BSD license) web mining modules for Python from the Computational Linguistics and Psycholinguistics Research Center . It contains tools for data retrieval, text analysis and data visualization and comes with over 30 sample scripts. Pattern consists of six main modules: pattern.web: A toolkit that includes APIs for various Web services, including Google, Gmail, Bing, Twitter Wikipedia and Flickr.
Generator Tricks for Systems Programmers - Version 2.0 Copyright (C) 2008 David M. Beazley http://www.dabeaz.com
by Allen B. Downey, published by O'Reilly Media . Order Think Stats from Amazon.com