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Numpy
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README.md

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@@ -1716,14 +1716,14 @@ import numpy as np
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<array> = np.random.randint(from_inclusive, to_exclusive, <shape>)
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```
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#### Shape is a tuple of dimension sizes:
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#### Shape is a tuple of dimension sizes.
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```python
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<array>.shape = <shape>
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<view> = <array>.reshape(<shape>)
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<view> = np.broadcast_to(<array>, <shape>)
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```
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#### Axis is an index of dimension that gets collapsed:
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#### Axis is an index of dimension that gets collapsed.
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```python
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<array> = <array>.sum(<axis>)
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<array> = <array>.argmin(<axis>)

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