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konkam authored Sep 23, 2020
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Expand Up @@ -4,13 +4,13 @@ title: Probablistic Programming in Thirty Seconds

# Probablistic Programming in Thirty Seconds

If you are already well-versed in probabalistic programming and just want to take a quick look at how Turing's syntax works or otherwise just want a model to start with, we have provided a Bayesian coin-flipping model to play with.
If you are already well-versed in probabilistic programming and just want to take a quick look at how Turing's syntax works or otherwise just want a model to start with, we have provided a Bayesian coin-flipping model to play with.


This example can be run on however you have Julia installed (see [Getting Started]({{site.baseurl}}/docs/using-turing/get-started)), but you will need to install the packages `Turing` and `StatsPlots` if you have not done so already.


This is an excerpt from a more formal example introducing probabalistic programming which can be found in Jupyter notebook form [here](https://nbviewer.jupyter.org/github/TuringLang/TuringTutorials/blob/master/0_Introduction.ipynb) or as part of the documentation website [here]({{site.baseurl}}/tutorials).
This is an excerpt from a more formal example introducing probabilistic programming which can be found in Jupyter notebook form [here](https://nbviewer.jupyter.org/github/TuringLang/TuringTutorials/blob/master/0_Introduction.ipynb) or as part of the documentation website [here]({{site.baseurl}}/tutorials).


```julia
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