The primary goal of this talk is twofold: to evaluate the need of data mining and introduce some very cool, simple yet powerful machine learning techniques to audience such as classification, clustering, collaborative filtering, recommendation etc in your Python web applications. This talk will conclude with some explanation and limitations of machine learning algorithms.
Basic knowledge of Python is sufficient. However some experience with Django, meshups, machine learning or data hunger is encouraged. All talk material and django apps will be available after talk.
Ever wondered how web maps are created? Ever wondered if you
could build something like Google Maps over a weekend? You
probably can't, but this talk will show you the basics of
what you need to know, such as importing data, rendering
maps and even building simple routes. And all of this in
* Learning how OSM data looks
* Parsing and importing the data
* Rendering maps with Mapnik
* Bits of code required to build geocoder
* Building simple router with Python and PostGIS
* And anything else I forgot to mention in this abstract but will talk about
OpenStreetMap -- the so-called "Wikipedia of maps" project, with thousands of contributors who edit the map data of the whole world. Unlike similar projects, the map data is completely free (both as in beer and as in speech) and thus anyone can make use of it.
Mapnik -- rendering framework, created specifically for OpenStreetMap, written in C++ and Python.
PostGIS -- an extension of PostgreSQL database, with support for many useful GIS features.
Camelot is a Python framework that leverages SQLAlchemy and QT to build rich desktop applications. The model - view definition used was inspired by the Django Admin interface. Some see it as a replacement for MS Access, but it's underlying libraries allow much more advanced features.
In this talk we will focus on the changes and new features that were introduced in Camelot and more importantly, how they can be used in your applications. Those features range from Matplotlib chart integration and new types of actions to displaying custom SQLAlchemy queries in a table view.
We will share our experiences with large scale deployment of Python and Camelot applications to the desktop of the user. In a number of case studies we will point out the mistakes we made and how they were corrected.
Web development is a complexity challenge nowadays. Growing number of functionalities results in customer expectations increase which makes project design more difficult. Using proper tools that suite your customer needs is essential.
In this talk I would like to present two successful stories using closely together Pyramid and Plone. Basing on these examples I wished to highlight the main reasons for using Plone as a CMS only and letting Pyramid do the rest (vertical application). Moreover, I will underscore good and bad practices during integration process and how to make farsighted architectural decisions in a right moment.
Prerequisites: be familiarized with common python web framework concepts.
by Almad and Lukáš Linhart
Build tools are not very popular in Python environment. In this talk, I'd like to show how useful it is to have one, even if you do just simple web applications. A nice, single point of entry instead of hairy shell scripts, fabric fabfiles and django admin commands all over the place.
Written in the neat, friendly Python instead of some Anty XML jumbo, you are about to have a refreshing cleanup.
20th–26th June 2011