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Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
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@ -68,3 +68,43 @@ import numpy as np
print(np.arange(-3, 0, 0.5, dtype=int)) # -> [-3 -2 -1 0 1 2]
```
## [numpy.linspace](https://numpy.org/doc/stable/reference/generated/numpy.linspace.html)
```python
numpy.linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None, axis=0)
```
> Return evenly spaced numbers over a specified interval.
>
> Returns num evenly spaced samples, calculated over the interval [start, stop].
>
> The endpoint of the interval can optionally be excluded.
> **start** : array_like
>
> The starting value of the sequence.
> **stop** : array_like
>
> The end value of the sequence, unless endpoint is set to False. In that case, the sequence consists of all but the last of num + 1 evenly spaced samples, so that stop is excluded. Note that the step size changes when endpoint is False.
> **num** : int, optional
>
> Number of samples to generate. Default is 50. Must be non-negative.
> **endpoint** : bool, optional
>
> If True, stop is the last sample. Otherwise, it is not included. Default is True.
## [numpy.logspace](https://numpy.org/doc/stable/reference/generated/numpy.logspace.html)
```python
numpy.logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None, axis=0)
```
> Return numbers spaced evenly on a log scale.
>
> In linear space, the sequence starts at base ** start (base to the power of start) and ends with base ** stop (see endpoint below).