Update README.md
Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
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@ -89,6 +89,69 @@ A = np.ones((3, 3))
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print(A.size) # -> 9
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```
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## [numpy.ndarray.nbytes](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.nbytes.html)
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{: .topic-optional}
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This is an optional topic!
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```python
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ndarray.nbytes
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```
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> Total bytes consumed by the elements of the array.
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## [numpy.ndarray.itemsize](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.itemsize.html)
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{: .topic-optional}
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This is an optional topic!
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```python
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ndarray.itemsize
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```
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> Length of one array element in bytes.
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## [numpy.ndarray.copy](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.copy.html)
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```python
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ndarray.copy(order='C')
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```
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> Return a copy of the array.
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## [numpy.ndarray.view](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.view.html)
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```python
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ndarray.view([dtype][, type])
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```
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> New view of array with the same data.
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## [numpy.ndarray.reshape](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.reshape.html)
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```python
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ndarray.reshape(shape, order='C')
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```
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> Returns an array containing the same data with a new shape.
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```python
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import numpy as np
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A = np.arange(0, 6)
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print(A.reshape((2, 3)))
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```
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Output:
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```python
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[[0 1 2]
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[3 4 5]]
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```
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## [Array methods](https://numpy.org/doc/stable/reference/arrays.ndarray.html#array-methods)
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