Python for Data Science

  • October 18, 2012 · 6:30 PM
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In this session we will discuss some applications of Python for data science.

 

6.30 pm Welcome and networking, free beer+pizza

 

7pm Talk Starts

 

"NumPy, the Python foundation for number crunching" by Didrik Pinte, Python contributor to QuantLib (a library for quant finance), and MD of Enthought, developer of EPD-the scientific computing Python platform

 

Beer Break and Community Update

 

"Python for Data Analysis" by Wes McKinney, former quant, author of pandas (the powerful Python library for data analysis), author of the book: "Python for Data Analysis"

 

More networking and Random Data Science Books Lottery

 

9.30-ish session ends

 

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  • Marc

    Excellent. No sales pitches. Just great info from people who really knew their stuff.

    October 20, 2012

  • Heather S.

    The notion of 'stride' assumed rather than properly explained, so that those new to it (like me) could easily follow what it was doing in the way of allowing the use of offsets for direct memory access.

    October 20, 2012

  • j00z

    A great meeting truly enjoyed it!

    October 18, 2012

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