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PyDSLA - Blaze: Connecting analysts to big computation

PyDSLA - Blaze: Connecting analysts to big computation

·2 mins
Meetups PyDSLA meetup python pandas blaze scikit-learn
Author
Author
Eduardo Ariño de la Rubia
Contributor

Join PyDSLA for a talk by Matthew Rocklin about the high level APIs being developed for Python for expressive data manipulation and analysis.

Summary:

Pandas and NumPy serve us well.  They give interactive high-level access to efficient low-level code.  As datasets grow larger than memory this low-level code becomes obsolete but the high-level interface remains valuable.  Blaze connects that high-level interface to a number of other computational systems like SQL, Mongo, or Spark, extending the scope of interactive analysis.  In this talk we go over common use cases and Blaze as well as a bit of its internal design.

Bio:

Matthew works for Continuum Analytics as a computational scientist.  Before joining he was an academic in scientific computing (PhD University of Chicago) and an active open source contributor in the PyData ecosystem (SymPy, PyToolz, Theano.)  Today he lives in lovely Oakland, CA and works to improve the usability of big-data technologies through Blaze and other projects.

Date:

February 23, 2014 (Monday)

Timeline:

  • 6:30pm food/bev & networking
  • 7:30pm talks starts promptly

You must have a confirmed RSVP and please arrive by 6:55pm the latest. Please RSVP for this meetup here on Eventbrite, as space is limited due to the capacity of the room. Make sure to RSVP now!

Venue:

Venice Arts, 1702 Lincoln Blvd, Venice, CA 90291

Thanks OpenMail for hosting!

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