Link to sample beakerx tablesaw notebook
@@ -18,14 +18,15 @@ You can include tablesaw-core, which is the dataframe library itself, with:
<dependency>
<groupId>tech.tablesaw</groupId>
<artifactId>tablesaw-core</artifactId>
- <version>0.10.0</version>
+ <version>0.11.0</version>
</dependency>
You may also add dependencies for `tablesaw-plot` to use the plotting capability and `tablesaw-smile` to use the [Smile](https://github.com/haifengl/smile) machine learning integration.
### Documentation and support:
-Please see our documentation page: https://jtablesaw.github.io/tablesaw/
+* Please see our documentation page: https://jtablesaw.github.io/tablesaw/
+* We also recommend trying Tablesaw inside [Jupyter notebooks](http://arogozhnikov.github.io/2016/09/10/jupyter-features.html), which lets you experiment with Tablesaw in a more interactive manner. Get started by [installing BeakerX](http://beakerx.com/documentation) and trying [the sample Tablesaw notebook](https://github.com/twosigma/beakerx/blob/master/doc/groovy/Tablesaw.ipynb)
### Tablesaw features:
