|News and Developments.
Cubes 0.10 Released (databrewery.org)
The latest version of cubes is out. For those who don’t know, cubes is a light-weight framework and set of tools for Online Analytical Processing.
Bottle 0.11 released (bottlepy.org)
This update includes quite a few prominent fixes, namely Native support for Python 2.x and 3.x syntax.
From our sponsors:
Should a Python newcomer move straight to Python 3? (reddit.com)
This looks promising. Flask-Pushrod is a tool to automatically determine the type of HTTP request that is requesting data from a particular endpoint and returning the appropriate data from the endpoint based on the request type.
Django API Playground (hipo.biz)
This is pretty awesome. This app helps you create a simple api playground or testing console for your RESTful API’s. Click through and check out the examples and the demo.
Django-cache-panel is an addon for Django-debug-toolbar that gives you information about your apps cache usage. Pretty useful little app.
DjangoCon US 2012 - Washington, DC Videos (youtube.com)
Couldn’t make it to DjangoCon US 2012 this year? Nows your chance to catch all the talks and greatest hits on youtube. There are 38 videos to watch for a total of 25hrs so you better get started now!
Things you didn't know about Python. (speakerdeck.com)
A talk by Armin Ronacher, filled with a bunch of cool trivia and where Python is, where it’s going, and who is using it? hint: Everyone is.
How to Set Hijax with Django and jQuery (blogspot.ca)
You can achieve progressive enhancement of your websites in many ways. In this article the authors shows you how to apply progressive enhancement to your AJAX call using the Hijax method.
Pushing Python Past the Present (archlinux.me)
This article is another response to the blog post about the future of python. This article highlights a few spots, where the community can focus on to improve python technologies. Glimpse of a potential future.
Building websites in Python with Flask (maximebf.com)
New to python web development. This post takes you through learning and setting up Flask. Go build something.
Visualizing Correlation Matrices with Python (blogspot.it)
The glowing python has a lot of great Python snippets and articles about using Python in scientific computing. This one on Visualizing correlation matrices is no different so check it out!
Using R and Python For Data Analysis (marginhound.com)