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//!
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//! * If you have experience with NumPy, you may also be interested in
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//! [`ndarray_for_numpy_users`](doc/ndarray_for_numpy_users/index.html).
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+ //!
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+ //! ## The ndarray ecosystem
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+ //!
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+ //! `ndarray` provides a lot of functionality, but it's not a one-stop solution.
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+ //!
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+ //! `ndarray` includes matrix multiplication and other binary/unary operations out of the box.
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+ //! More advanced linear algebra routines (e.g. SVD decomposition or eigenvalue computation)
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+ //! can be found in [`ndarray-linalg`](https://crates.io/crates/ndarray-linalg).
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+ //!
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+ //! The same holds for statistics: `ndarray` provides some basic functionalities (e.g. `mean`)
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+ //! but more advanced routines can be found in [`ndarray-stats`](https://crates.io/crates/ndarray-stats).
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+ //!
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+ //! If you are looking to generate random arrays instead, check out [`ndarray-rand`](https://crates.io/crates/ndarray-rand).
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#[ cfg( feature = "blas" ) ]
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extern crate blas_src;
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