Merge pull request #98 from ddotta/ddotta/issue94

README.md

@@ -133,6 +133,7 @@ To see the latest entries in the list : <a href="https://www.trackawesomelist.co
 - [High Performance Data Manipulation in Python: pandas 2.0 vs. polars](https://www.datacamp.com/tutorial/high-performance-data-manipulation-in-python-pandas2-vs-polars) - A blog post that compares differences between Python pandas 2.0 and Polars libraries by [@jcanalesluna](https://github.com/jcanalesluna).
 - [Lightning-fast queries with Polars ](https://dev.to/astrojuanlu/lightning-fast-queries-with-polars-1bp3) - Another blog post that is a good introduction to Polars by [@astrojuanlu](https://github.com/astrojuanlu).
 - [Polars – Laziness and SQL Context.](https://www.confessionsofadataguy.com/polars-laziness-and-sql-context/) - A blog post that presents two good reasons to adopt Polars :  Lazy and SQL Context by [@danielbeach](https://github.com/danielbeach).
+- [Exploring Polars - The Lightning-Fast DataFrame Library in Python ](https://medium.com/@HeCanThink/exploring-polars-the-lightning-fast-dataframe-library-in-python-2d01aa332f70) - A blog post on the basics of Polars by [@mddas](https://github.com/mddas).
 
 ### Talks and videos