[Baypiggies] Meetup in SF - This Thu at 6:30

Daryl Spitzer daryl.spitzer at gmail.com
Mon Sep 28 20:14:21 CEST 2009

Are the slides (or video or any other artifact) from this meeting available?

(I'm asking on behalf of a co-worked in Israel who is very interested
in the subject, but since I couldn't attend and am also interested I
too am hoping there is.)


On Mon, Sep 14, 2009 at 12:48 PM, Marcus Phillips
<baypiggies at marcusphillips.com> wrote:
> Woops!  It's this Thursday the 17th at 6:30.
> Thanks,
> Marcus
> On Mon, Sep 14, 2009 at 12:36 PM, Stephen McInerney
> <spmcinerney at hotmail.com> wrote:
>> Marcus - what day and date please? You might like to add to the subject
>> line.
>> Thanks,
>> Stephen
>> ________________________________
>> From: baypiggies at marcusphillips.com
>> Date: Mon, 14 Sep 2009 12:18:09 -0700
>> To: baypiggies at python.org
>> Subject: [Baypiggies] Meetup in SF
>> BayPIGgies,
>> 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
>> meetup.com/sfpython.
>> Regards,
>> Marcus
>> ----
>> This month, we have Jim Baker from Boulder, CO giving us a talk on python
>> performance optimization.
>> Speaker Bio:
>> 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).
>> Abstract:
>> 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.
>> Agenda-
>> 6:30p - 7:00p Pizza and Networking
>> 7:00p - 8:30p Main talk / Q&A
>> Please RSVP so we know how much food to order ;-)
>> About Slide's office:
>> 2.5 blocks from Cal Train
>> Easy parking along 2nd street and Brannan
>> ________________________________
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>> now.
> --
> "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
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