rendarray 0.2.0-alpha.6

rendarray-0.2.0-alpha.6 has been yanked.

The ndarray crate provides an N-dimensional container similar to numpy’s ndarray.

ArrayBase: The N-dimensional array type itself.
Array: An array where the data is shared and copy on write, it can act as both an owner of the data as well as a lightweight view.
OwnedArray: An array where the data is owned uniquely.
ArrayView, ArrayViewMut: Lightweight array views.

Highlights

Generic N-dimensional array
General slicing, also with steps > 1, and negative indices to mean elements from the end of the axis.
There is both an easy to use copy on write array (Array), or a regular uniquely owned array (OwnedArray), and both can use read-only and read-write array views.
Iteration and most operations are efficient on contiguous c-order arrays (the default layout, without any transposition or discontiguous subslicing).
Array views can be used to slice and mutate any [T] data.

Still iterating on the API
Focus is on being a generic N-dimensional container
Implements numpy striding and broadcasting
Arithmetic operations and numerics need a rethink. They are not very well optimized.
There is experimental bridging to the linear algebra package rblas.