Add an eventSessions at DjangoCon US 2011 with slides and liveblog and video
Tuesday 6th September 2011
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Confessions of Joe Developer
Over the course of 6 years of Python development at NASA, Revsys, and Eldarion; Daniel Greenfeld has picked up a lot of easy tricks stolen from the best and brightest in the Python community that make him look good in front of his peers and clients. And now, at great risk to his career and reputation, he is going to show you how he does it.
Highlights:
- Get the most out of the least amount of work.
- Being forgetful is responsible for open source development.
- Using commonly available tools to make you look like you know what you are doing.
- All the sample code is accessible outside the slides
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The story and tech of Read the Docs
Hosting open source documentation was a mess. The best-of-class solution for the Python world as uploading a tarball of html to packages.python.org or doing similar to upload to github pages.. We set out to solve this problem using the current best of class tools that Django has to offer.
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Testing: The Developer Strikes Back
by Sandy Strong
“Code not tested is broken by design” - Jacob Kaplan-Moss Every programming project has unique testing needs. It’s not always easy to understand what those needs are, or how to write tests that satisfy them. One of our goals as developers is to write tests that minimize failures in production that can cost our companies time, money, resources, and in many cases, hours of sleep!
Every programming project has unique testing needs. It’s not always easy to understand what those needs are, or how to write tests that satisfy them. One of our goals as developers is to write tests that minimize failures in production that can cost our companies time, money, resources, and in many cases, hours of sleep!
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Secrets of PostgreSQL Performance
by Frank Wiles
PostgreSQL is effectively the default RDBMS for Django. Learn the dark arts of optimizing this powerful database to be blazingly fast on your own hardware or in the cloud.
PostgreSQL has been the default recommended database since Django was initially released. Learn the dark arts of optimizing this powerful database. Both in general use cases and specifically for Django.
In this talk you'll learn:
->Things to avoid
-double duty servers
-disk contention
-unnecessary queries->The "Big 3" configuration options you should always adjust
- shared_buffers
- effective_cache_size
- random_page_cost->Other useful configuration options
->Hardware considerations
- RAM, disks, and CPU
- Rackspace Cloud vs Amazon EC2
- tablespaces
- SSDs-> Common Django ORM issues
- Slow count() operations-> Indexing Tips and Tricks
- Index types
- Multi-column indexes
- Partial indexes-> Performance Tools you can use
-> The "Dark Arts"
- Planner Statistics
- materialized views
- crazy replication