1 | initial version |

This is not an abstract symbolic expression for a rage - which I would still like, but this answer uses numpy to provide its default output summary with ellipses for large arrays. Solves my practical problem of too much output.
ref: `https://doc.sagemath.org/html/en/thematic_tutorials/numerical_sage/numpy.html`

```
import numpy as np
l = np.array(srange(-3,3,0.002))
show(l)
[⎯𝟹.⎯𝟸.𝟿𝟿𝟾⎯𝟸.𝟿𝟿𝟼...𝟸.𝟿𝟿𝟺𝟸.𝟿𝟿𝟼𝟸.𝟿𝟿𝟾]
```

2 | No.2 Revision |

This is not an abstract symbolic expression for a rage - which I would still like, but this answer uses numpy to provide its default output summary with ellipses for large arrays. Solves my practical problem of too much ~~output.
~~output.

ref: `https://doc.sagemath.org/html/en/thematic_tutorials/numerical_sage/numpy.html`

```
import numpy as np
l = np.array(srange(-3,3,0.002))
show(l)
[⎯𝟹.⎯𝟸.𝟿𝟿𝟾⎯𝟸.𝟿𝟿𝟼...𝟸.𝟿𝟿𝟺𝟸.𝟿𝟿𝟼𝟸.𝟿𝟿𝟾]
```

3 | No.3 Revision |

This is not an abstract symbolic expression for a ~~rage ~~range - which I would still like, but this answer uses numpy to provide its default output summary with ellipses for large arrays. Solves my practical problem of too much output.

ref: `https://doc.sagemath.org/html/en/thematic_tutorials/numerical_sage/numpy.html`

```
import numpy as np
```~~ ~~l = np.array(srange(-3,3,0.002))
show(l)
[⎯𝟹.⎯𝟸.𝟿𝟿𝟾⎯𝟸.𝟿𝟿𝟼...𝟸.𝟿𝟿𝟺𝟸.𝟿𝟿𝟼𝟸.𝟿𝟿𝟾]

4 | No.4 Revision |

This is not an abstract symbolic expression for a range - which I would still like, but this answer uses numpy to provide its default output summary with ellipses for large arrays. Solves my practical problem of too much output.

ref: `https://doc.sagemath.org/html/en/thematic_tutorials/numerical_sage/numpy.html`

```
import numpy as np
l =
```~~np.array(srange(-3,3,0.002))
~~np.array(srange(-3.0, 3.0, 0.002))
show(l)
[⎯𝟹.⎯𝟸.𝟿𝟿𝟾⎯𝟸.𝟿𝟿𝟼...𝟸.𝟿𝟿𝟺𝟸.𝟿𝟿𝟼𝟸.𝟿𝟿𝟾]

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