Google Tech Talks
October 30, 2009

ABSTRACT

Presented by Rob Pike

What is Go?

Go is a new experimental systems programming language intended to make software development fast. Our goal is that a major Google binary should be buildable in a few seconds on a single machine. The language is concurrent, garbage-collected, and requires explicit declaration of dependencies. Simple syntax and a clean type system support a number of programming styles.

For more on Go including FAQs, source code, libraries, and tutorials, please see:

http://golang.org

Generating Trading Agent Strategies
Google engEDU
52 min – Jan 17, 2006

Google TechTalks
January 17, 2006

Daniel M. Reeves

Daniel Reeves recently completed his PhD in Computer Science at the University of Michigan as a student of Michael Wellman and is now (temporarily) a lecturer at Michigan, teaching Knowledge-Based Systems (Lisp, Prolog, and Mathematica for AI Programming). His most active area of research is the application of game-theoretic and computational techniques to strategic behavior in games, particularly for eCommerce-inspired market mechanisms. He is one of the creators of and top competitors in the international Trading Agent Competition. Dr Reeves is also one of the top ultra-marathon inline skaters in the US and climbs stairs competitively.

ABSTRACT
A Strategy Generation Engine is a system that reads a description of a game or market mechanism and outputs strategies for participants. Ideally, this means a game solver—an algorithm to compute Nash equilibria. This is a well-studied problem and very general solutions exist, but they can only be applied to small, finite games. I will present methods for finding or approximating Nash equilibria for infinite games, and for intractably large finite games.
video
http://video.google.com/videoplay?docid=5301380251515556722

• Download: “Generating Trading Agent Strategies” (video/mp4)

September 10, 2009 EDIT

Its rather interesting to study the co-notation of Dr Daniel Reeves’ game theory with Poker. Here is a list of expected value for poker hands I found on Google.

Rapid Development with Python, Django, and Google App Engine Guido van Rossum (Google) Learn how to create great web applications quickly on Google App Engine using the Django web framework and the Python language. Google App Engine lets you host complete, scalable web applications written in Python with minimal fuss. This tutorial assumes basic familiarity with Python but definitely no advanced Python knowlege; Django experience is optional. You will learn how to use the Django web framework with the datastore API provided by Google App Engine, and how to get the most mileage out of the combination. You will also see how to use Django best practices like unit testing when developing for Google App Engine.

Providing the complexity of web applications that can be developed with Django and Google App Engine, the need for Desktops remains present but we can question the need for virtual solutions in common applications such as Virtual Bridges.

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[VIDEO TUTORIAL] PHP & MySQL (Course 03 Configuring For Php).avi

9 min – 21-Feb-07

[VIDEO TUTORIAL] PHP & MySQL (Course 03 Configuring For Php).avi Read the rest of this entry »

Modeling Application Usage Visually
Google engEDU
37 min – Apr 24, 2006

Google TechTalks
April 24, 2006

Scott Barber
Scott Barber is the CTO of PerfTestPlus, Inc. and Co-Founder of the Workshop on Performance and Reliability (WOPR). Scott’s particular specialties are testing and analyzing performance for complex systems, developing customized testing methodologies, group facilitation and authoring instructional materials.

ABSTRACT
Modeling application usage is more than just parsing log files and calculating page frequencies. Whether we are analyzing navigation path effectiveness, planning for scenario testing, documenting performance test workload models or mapping services or objects to user activity having a single, intuitive picture to reference makes the job easier.

In this session, we’ll explore a highly adaptable method for visualizing application usage and how to use this model to improve cross-functional team communication without requiring team members to invest time learning some new fad of a modeling language that they’ll probably never use again. This method references UCMLâ„¢ which has been described as "what collaboration diagrams should have been." Read the rest of this entry »