I'm pleased to announce the release of Biggus version 0.5.0.
Biggus is a pure Python library for handling virtual n-dimensional arrays
of arbitrary size, and providing lazy/deferred evaluation of arithmetic and
statistical operations. Biggus works with your n-dimensional array data in
whatever form it currently resides - no data conversion is necessary.
The documentation can be found at:
http://biggus.readthedocs.org/
And it can be installed with pip via:
pip install biggus
The main feature of this release is a new multi-threaded evaluation engine
which provides the ability to compute statistics efficiently across any
axis.
Future plans include:
- Expand the range of arithmetic and statistical operators.
- Extend the evaluation API to allow multiple simultaneous file-based
outputs.
- An API to simplify the creation of user-defined operators.
- Multiply-concurrent execution of CPU intensive operators.
- Low-level evaluation optimisation, e.g numexpr/numba.
Constructive feedback is very welcome!
- Raise an issue on GitHub, https://github.com/SciTools/biggus
- Post on the discussion group:
https://groups.google.com/forum/#!forum/scitools-biggus
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