TileDB-Py 0.7.0 Release Notes

Wheels for this release are available on PyPI: https://pypi.org/project/tiledb/0.7.0/

TileDB Embedded updates:

TileDB-Py 0.7.0 includes TileDB Embedded 2.1.2
featuring a number of significant improvements, with major highlights including:
- no longer uses Intel TBB for parallelization by default. Along with many benefits to TileDB Embedded, this
  significantly reduces complications and bugs with python multiprocessing fork mode.
- Support coalescing subarray ranges to give major performance boosts.

TileDB-Py 0.7 packages on PyPI support macOS 10.13+ and manylinux10-compatible Linux distributions only.
For now, wheels could be produced supporting older systems but without Google Cloud Support; if needed,
please contact us to discuss.

Added ".df[]" indexer tiledb.Array: directly returns a Pandas dataframe from a query (uses multi_index indexing behavior) #390
Added parallel CSV ingestion example using Python multiprocessing with tiledb.from_csv #397
Added wrapping and support for TileDB checksumming filters: ChecksumMD5Filter and ChecksumSHA256Filter #389
Removed TBB install from default setup.py, corresponding to TileDB Embedded changes #389
Add support for 'capacity' kwarg to from_csv/from_pandas #391
Add support for 'tile' kwarg to from_csv/from_pandas to customize Dim tile extent #391
Added '--release-symbols' option for building in release optimization with debug symbols #402
Changed allows_duplicates default to True for from_csv/from_pandas #394

Fixed bug indexing anonymous attributes of sparse arrays using A[] (did not affect dense or multi_index) #404
Fixed rendering of column name in mixed dtype exception #382
Fixed forwarding of 'ctx' kwarg to from_csv/from_pandas #383
Fixed type of return values for empty results when indexing a sparse array #384