Merge pull request #57 from ddotta/ddotta/issue56

Add comparison blog post by makeuseofcode

README.md

@@ -113,6 +113,7 @@ To see the latest entries in the list : <a href="https://www.trackawesomelist.co
 - [Polars for initial data analysis, Polars for production](https://pythonspeed.com/articles/polars-exploratory-data-analysis-vs-production/) - A blog post that shows how to use Polars for initial data analysis and then effectively in production by [@itamarst](https://github.com/itamarst).
 - [DuckDB vs Polars vs Spark!](https://www.karnwong.me/posts/2023/04/duckdb-vs-polars-vs-spark/) - An article that performs a benchmark against duckdb/Polars/spark, with varying row count, with swap usage as another metric, in addition to runtime in seconds. Code used is available on Github [here](https://github.com/kahnwong/dataframe-frameworks-showdown).
 - [Benchmarking PySpark Pandas, Pandas UDFs, and Fugue Polars](https://medium.com/fugue-project/benchmarking-pyspark-pandas-pandas-udfs-and-fugue-polars-198c3109a226) - A blog post that compares the execution time of [fugue](https://github.com/fugue-project/fugue/) + Polars, Pandas UDFs and PySpark Pandas by [@kvnkho](https://github.com/kvnkho).
+- [Pandas vs. Polars: The Battle of Performance](https://www.makeuseof.com/pandas-vs-polars-which-is-better/) - An another blog post that compares the performance between Pandas and Polars across a range of common data manipulation tasks by [@makeuseofcode](https://github.com/makeuseofcode). Code used is available on [Github](https://github.com/makeuseofcode/Polars-vs-Pandas-Comparison).
 
 ### Talks and videos