https://datasciencela.github.io/tag/blaze/Recent content in blaze on DataScience.LAHugo -- gohugo.ioen-usDataScience.LA, 2014–2021 · Read-only archive: comments are closed.Fri, 27 Feb 2015 11:47:50 -0800https://datasciencela.github.io/pydsla-blaze-connecting-analysts-to-big-computation/Sat, 07 Feb 2015 15:35:01 -0800https://datasciencela.github.io/pydsla-blaze-connecting-analysts-to-big-computation/<p>Join PyDSLA for a talk by Matthew Rocklin about the high level APIs being developed for Python for expressive data manipulation and analysis.</p> <p><strong>Summary:</strong></p> <p>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.</p>