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  * '''NumPy memory maps and structure data-types''', Travis Oliphant [[htp://www.enthought.com | Enthought]]   * ''An integrated VAR calculation demo using :
   * Numpy memory maps and structured data-types
   * picloud, Cloud computing simplified
   * cython/weave, compiling Python to C
   * pandas, Pythonic cross-section, time series, and econometric analysis''
    by Travis Oliphant, [[htp://www.enthought.com | Enthought]]

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

  • March, 11 2010
  • Topic :
    • An integrated VAR calculation demo using :

      • Numpy memory maps and structured data-types
      • picloud, Cloud computing simplified
      • cython/weave, compiling Python to C
      • pandas, Pythonic cross-section, time series, and econometric analysis

    • Suggestions are welcome
  • Location: Man Investments Limited, Sugar Quay, Lower Thames Street, London EC3R 6DU

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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