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Add more capabilities in blosc2 description
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ANNOUNCE.rst

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@@ -10,12 +10,14 @@ which matches NumPy behaviour.
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You can think of Python-Blosc2 3.x as an extension of NumPy/numexpr that:
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- Can deal with ndarrays compressed using first-class codecs & filters.
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- Can deal with NDArray compressed objects using first-class codecs & filters.
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- Performs many kind of math expressions, including reductions, indexing...
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- Supports multi-threading and SIMD acceleration (via numexpr).
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- Can operate with data from other libraries (like PyTables, h5py, Zarr, Dask, etc).
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- Supports NumPy ufunc mechanism: mix and match NumPy and Blosc2 computations.
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- Integrates with Numba and Cython via UDFs (User Defined Functions).
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- Adheres to modern NumPy casting rules way better than numexpr.
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- Performs linear algebra operations (like ``blosc2.matmul()``).
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- Performs linear algebra operations (like ``blosc2.tensordot()``).
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Install it with::
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