Woops! It's this Thursday the 17th at 6:30.<br><br>Thanks,<br>Marcus<br><br><br><div class="gmail_quote">On Mon, Sep 14, 2009 at 12:36 PM, Stephen McInerney <span dir="ltr"><<a href="mailto:spmcinerney@hotmail.com">spmcinerney@hotmail.com</a>></span> wrote:<br>
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Marcus - what day and date please? You might like to add to the subject line.<br>
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Thanks,<br>
Stephen<br> <br>
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From: <a href="mailto:baypiggies@marcusphillips.com" target="_blank">baypiggies@marcusphillips.com</a><br>Date: Mon, 14 Sep 2009 12:18:09 -0700<br>To: <a href="mailto:baypiggies@python.org" target="_blank">baypiggies@python.org</a><br>
Subject: [Baypiggies] Meetup in SF<div><div></div><div class="h5"><br><br>BayPIGgies,<br clear="all"><br>Just wanted to inform you of the meetup this week in SF. Should be a good one, so please drop by if you're up this way. Details below, and at <a href="http://meetup.com/sfpython" target="_blank">meetup.com/sfpython</a>.<br>
<br>Regards,<br>Marcus<br><br><br>----<br>
This month, we have Jim Baker from Boulder, CO giving us a talk on python performance optimization.<br>
Speaker Bio: <br>Jim Baker has 15 years of professional software development experience, focusing on business intelligence, enterprise system management, and high-performance web applications. He is a member at the Python Software Foundation, a committer on Jython, and a frequent speaker at pyCon on python performance / iterators. He holds a Bachelor of Computer Science from Harvard University and a Masters of Computer Science from Brown University (and an all-but-dissertation PhD candidate). <br>
Abstract: <br>You have great unit tests. Your Python code is correct, or at least as much as you can tell with your testing. Now you may want to optimize the performance of some of that code, so as to improve the user experience, reduce costs, or enhance scalability. In this talk, we will look at how to apply some proven techniques for optimizing Python performance. First we will discuss some approaches to profiling, which is what you should do first. Then we will examine a variety of optimization strategies, from small optimizations, to using better algorithms and more appropriate data structures, to the impact of using a better fitting (or perhaps more well-written) library, and more. And we will look at what exactly you may want to optimize, whether that is response time, throughput, or various other related metrics, and how to appropriately balance. Lastly, as it comes up, we will also discuss some of the differences between the various implementations, like CPython and Jython.<br>
Agenda- <br>6:30p - 7:00p Pizza and Networking <br>7:00p - 8:30p Main talk / Q&A<br>
Please RSVP so we know how much food to order ;-)<br>
About Slide's office: <br>2.5 blocks from Cal Train <br>Easy parking along 2nd street and Brannan<br>
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</blockquote></div><br><br clear="all"><br>-- <br>"My silence is original silence, not a quotation from his silence. Mine is a much better silent piece. I have been able to say in one minute what Cage could only say in four minutes and 33 seconds." -Michael Batt<br>