Don't miss these two new talks, added to the program over the weekend.
Joe Gregorio will speak in the Python track on Thursday morning. In Threading Is Not A Model he writes
We have many concurrency/multiprocessing capabilities at our finger tips, such as threads, processes, locks, mutexes, select, epoll, transactional memory, etc. But none of them are a model for multiprocessing, they are only tools on which you would build an implementation of such a model. So what are the models we can choose from? How would they be implemented in Python? And how do they relate to the principle of sufficient irritation?
Meanwhile, Jeffrey Osier-Mixon from MontaVista will speak about effectively managing documentation in open source projects. He explains that documentation is an often overlooked, but essential part of a project.
Documentation is a vital user-facing component of all serious projects, open-source and otherwise, but it is often overlooked—-or, worse, dealt with in fire-drill mode just before going to manufacturing or market. However, documentation is a project’s backbone. It is often what users and OEMs see first, and it is also the place you want users to look when they have questions or problems (so they don’t have to call you).
Catch Jeffrey's talk on Thursday afternoon.
Sessions tagged with 'python'
Python is a great Programming Language. The JVM is a great runtime platform. Jython is an excellent implementation of Python for the JVM. But there is room for improvement. In this talk I will share with you how Jython is evolving to become even better in the future. Learn how you can take advantage of the improving Jython in your code.
With an increased number of government and public sector organisations releasing datasets to the public under reasonable reuse terms, it now becomes interesting to try and do something with this data. This talk will take a couple of those local real-world datasets and create a minimal website for remixing them, using Django as the underlying framework.
In this session you will learn how to use the Neo4j Graph Database for persistence in Django web applications. A graph database, such as Neo4j, is a database that models data as a graph data structure with focus on the relationships between entities, and each node as its own entity, rather than the structure of data records. This makes it a good fit for object oriented web frameworks like Django.
We were fortunate this past year to develop two of the larger Django applications out there – in the span of 12 weeks: michaelmoore.com and Santa Fe Institute's santafe.edu. Between the two, these sites have multiple layers of memcached caching, multiple web servers and database servers, integrated site search (Lucene/SOLR and Google GSA), DjangoCMS, and integrations with iCal and Alfresco.
This tutorial explores new concepts in web security. After a solid grounding in well-known exploits, I'll demonstrate how traditional exploits are being combined together and with other technologies to launch sophisticated attacks that penetrate firewalls, target users, and spread like worms. I'll then discuss some ideas for the future to help you provide a better, more secure user experience.
This hands on tutorial will walk you through the steps of building a Wave robot, from setting up the Python client library through to using the major APIs that Wave provides.
Although Python programs may be slow for certain types of tasks, there are many different ways to improve performance. This tutorial will introduce optimization strategies and demonstrate techniques to implement them.
Participants will learn how to decide what might be the optimal solution for a certain performance problem. Participants are strongly recommended to bring laptops.
There are a number of toolkits available that make it much easier than ever before to design delightful, intuitive user interfaces for the terminal window. This talk will explore several options for Python, including cmd, curses, newt/snack and urwid. I'll compare the different approaches for different application domains, and show some shortcuts for the impatient.
Egnyte started as a cloud storage provider, but our customers demanded
that we provide an easy way to synchronize their local data with the
cloud because they wanted to retain control of their data. Come learn
how we solved some of the problems of automatic bidirectional
synchronization using a CherryPy/Cheetah Python client that runs on Mac,
Windows, and Linux.
Google App Engine is an development & hosting platform that lets you build & deploy web applications on Google's high-traffic infrastructure. You only need to upload your code: no more worrying about machines, storage, scalability! This tutorial introduces attendees to its architecture & various service APIs. In the hands-on lab, you'll build+deploy a real app to the cloud using Python in minutes!
San Francisco's Street Address Management System is used by numerous agencies to edit and report on the city's geospatial street addresses. The application helps the city reduce duplicate data maintenance work, improves the accuracy, consistency, and quality of the data - and should lower the cost of delivering services to citizens.
The Parrot virtual machine hit 2.0 in January of this year, and the 2.6 production release will be out the day before this talk. A virtual machine like no other, Parrot targets dynamic languages such as Perl, Ruby, Python and PHP. It incorporates an object-oriented assembly language, is register-based rather than stack-based, and employs continuations as the core means of flow control.
Pinax is an open-source platform built on the Django Web Framework that dramatically reduces the time it takes to develop Web sites. By providing common components in a high-extensible framework, Pinax increases the speed at which websites can be developed and launched. Features include account management, integration with OpenID and OAuth, invitations, friendships, groups, tagging and more.
With support right out of the box, Django is one of the most efficient ways of deploying a PostgreSQL-backed web application. We'll discuss techniques to get maximum efficiency out of PostgreSQL using Django, including schema design tips, Django ORM techniques, transaction management, and extending PostgreSQL.
Design patterns can be very useful in Python (as in any other language) but there are right ways and wrong ways to choose which ones to implement, and how to implement. This advanced tutorial offers many practical examples of "the good, the bad, and the beautiful" ("the ugly" doesn't apply to Python!-) and some theoretical underpinnings for them.
The recent US SEC proposal addressing the lack of transparency of asset-backed securities by adding disclosure requirements to include Python financial models reflects a need for Open Tools to work with Open Data to ensure transparency in Government. This session discusses why Python is a good fit for the SEC's proposal & the Open Source challenges ahead for the financial ecosystem.
We have many concurrency/multiprocessing capabilities at our finger tips, but none of them are a model for multiprocessing, they are only tools on which you would build an implementation of such a model. So what are the models we can choose from? How would they be implemented in Python?
Trylon is a dynamically-typed, staticly-compiled object-oriented
language. The syntax combines elements of Python (significant
indentation) and Smalltalk (message send syntax). It tries to provide
a low-friction notation for writing small to medium-sized
RapidSMS is an open source project for messaging, data collection and co-ordination over SMS. It's used throughout the world for a variety of projects, from fighting child malnutrition and malaria to monitoring elections.
This talk introduces RapidSMS and covers some of the sample applications built with it.
Google App Engine is an development & hosting platform that lets you build & deploy web applications on Google's high-traffic infrastructure. You only need to upload your code: no more worrying about machines, storage, scalability! This session introduces attendees to its architecture & various service APIs. Time-permitting we'll go through a simple example using Python.
Learn how to write custom GIMP plug-ins in two languages: Script-fu,
GIMP's native scripting language, and Python.