Personal schedule for David Hancock
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Databases
Location: Portland 252
Please note: to attend, your registration must include
Tutorials.
Learn how to apply the principals of test-driven development to developing a database schema.
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Many people view topics like Map/Reduce and queue systems as advanced concepts that require in-depth knowledge and time consuming software setup. Gearman is changing all that by making this barrier to entry as low as possible with an open source, distributed job queuing system. This session dives into advanced use cases that demonstrate the power and flexibility of distributed architectures.
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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!
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Python
Location: E145/E146
Please note: to attend, your registration must include
Tutorials.
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.
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