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  • Due by October 4, 2015
    52/52 issues closed
  • Due by July 9, 2015
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  • Due by July 8, 2015
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  • Minor release * Now using `odo` instead of `into` * Support both spark 1.2 and 1.3 * Join works on ndarray by casting to a pandas `Series` * Bug fixes * Fix printing of collections without names * `set_default_pmap` to allow setting of default `map` function passed to `compute` * move docs to http://blaze.readthedocs.org/ * solidify binstar build and conda build recipes

    Due by March 12, 2015
    12/12 issues closed
  • Due by February 1, 2016
    96/96 issues closed
  • Bug fixes API improvements

    No due date
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  • Major release # features * improved sql support * `IsIn` expression with pandas semantics * sql backend has multicolumn sort * group by dates in sql * sql backend doesn't generate nested queries when combining transforms, selections and `By` expressions * spark dataframes now join in sparksql land rather than joining as RDDs * mongo databases are now first class citizens * support for pymongo 3.0 * start a dask backend # bug fixes * `char_length` for sql string length rather than `length`, which counts bytes not characters * deterministic ordering for columns in a `Merge` expression * put a lock around numba ufunc generation * Fix variability functions on sql databases #1051

    Due by April 24, 2015
    68/68 issues closed
  • Feature Release * Expansion of Expr * Arrays * General datashape objs in Table * More Panda ops * OOC table operations * Numba apply operators * HDFS support

    Due by December 22, 2014
    82/82 issues closed
  • Release before SciPy2014 * Develop performance benchmarks testing: * large data repositories * expression graph optimizations

    Due by August 7, 2014
    36/36 issues closed
  • * Numpy API * Pandas API * Unified Execution Engine * Numba only works with scalar kernels * Mix SQL data and local data * Basic Distributed story * Computations * Linear Algebra * Groupby * Windowing ops * Array Server * Re-interpolation and sampling * Caching

    Due by May 1, 2014
    10/10 issues closed
  • This release will feature numerous bug fixes as well as: - Addition of blaze server and catalog - Addition of remote arrays - Addition of csv and json as persistence store - Shuffle internal structure to match logic better - Refactor of datashape and blz out of blaze core

    Due by January 10, 2014
    4/4 issues closed