Added more resources on Dask for quick reference (#85)

* Added more resources on Dask

* Updated writing for issue #84

Author: AishwaryaDASH

README.md

@@ -74,5 +74,7 @@ Refer [hello_world.ipynb](https://github.com/mozilla/overscripted/blob/master/an
 
 - [This](https://github.com/aSquare14/Git-Cheat-Sheet) will help you get started with GIT. For visual thinkers this [tutorial](https://www.youtube.com/playlist?list=PL6gx4Cwl9DGAKWClAD_iKpNC0bGHxGhcx) can be a good start.
 
+- Other Dask resources: [overview](https://www.youtube.com/watch?v=ods97a5Pzw0) video and [cheatsheet](https://dask.pydata.org/en/latest/_downloads/daskcheatsheet.pdf).
+
 - [Apache Spark](https://spark.apache.org/docs/latest/api/python/pyspark.html) is an open source parallel processing framework for running large-scale data analytics applications across clustered computers. It can handle both batch and real-time analytics and data processing workloads. We use [findspark](https://github.com/minrk/findspark) to set up spark. You can learn more about it [here](https://github.com/apache/spark )