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  * '''Faster Python math using pyCUDA''', Ian Oswald, [[http://ianozsvald.com]]

The London Financial Python User Group (affectionately, LFPUG) has been started in November 2009. Over the last several years, the Python/Numpy/Scipy toolset has steadily grown in popularity among quants. It now plays an important role in the trading and visualization systems throughout the financial industry. A number of London-based quants, traders, and other financial professionals have asked Enthought to set up a “Financial Python” user group.

Beginning in November 2009, Enthought started to organize a monthly event where people can meet and discuss Python’s use in the financial sector (best practices, new technologies, etc.).

If you’d like to be kept informed about the details of these events, join us on the LinkedIn group or contact Didrik (dpinte@enthought.com) by e-mail.


Table of Contents:

Next Meeting

  • September 15, 2010
  • Topics :
    • Introduction to the Numpy for .NET project, by Didrik Pinte, Enthought

    • Faster Python math using pyCUDA, Ian Oswald, http://ianozsvald.com

    • Suggestions are welcome
  • Location:
    • Please, register before coming by sending a mail to Vincent Guffens (vincent.guffens@ca-cib.com)

    • CRÉDIT AGRICOLE CIB LONDON BRANCH, Broadwalk House , 5, Appold St , EC2A 2DA, London
    • Ask room 8 at the reception

Previous meetings

Lightning talks

  • The target is to have between 2 to 5 ligthning talks per sessions. Talk duration between 5-10 minutes followed by 5-10 minutes Q&A.

  • Suggestions are welcome, please do send them by e-mail to Didrik (dpinte@enthought.com).

LondonFinancialPythonUserGroup (last edited 2014-05-19 03:19:51 by DaleAthanasias)

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