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