1 | initial version |

First of all... $ fgrep -i -C1 lapla /usr/lib/sagemath/src/sage/gsl/probability_distribution.pyx #TODO: Add more distributions available in gsl #available but not currently wrapped are exponential, laplace, cauchy, landau, gamma, #gamma, beta logistic.

For my purposes i used then in statistics and probability scipy, for instance in order to get a random variable sample of size ten...

```
sage: from scipy import stats
sage: stats.laplace.rvs( 2017, size=10 )
array([ 2015.97251004, 2014.09872554, 2016.98175955, 2017.07587794,
2017.11026863, 2019.19102019, 2015.86935513, 2016.53066666,
2019.09275965, 2016.89277916])
```

2 | No.2 Revision |

First of ~~all...
~~all...

```
$ fgrep -i -C1 lapla /usr/lib/sagemath/src/sage/gsl/probability_distribution.pyx
```~~ ~~#TODO: Add more distributions available in gsl
~~ ~~#available but not currently wrapped are exponential, laplace, cauchy, landau, gamma,
~~ ~~#gamma, beta ~~logistic.~~logistic.

For my purposes i used then in statistics and probability scipy, for instance in order to get a random variable sample of size ten...

```
sage: from scipy import stats
sage: stats.laplace.rvs( 2017, size=10 )
array([ 2015.97251004, 2014.09872554, 2016.98175955, 2017.07587794,
2017.11026863, 2019.19102019, 2015.86935513, 2016.53066666,
2019.09275965, 2016.89277916])
```

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