Merge pull request #59 from ddotta/ddotta/issue58

Add blog post by priyanshu7401

README.md

@@ -114,6 +114,8 @@ To see the latest entries in the list : <a href="https://www.trackawesomelist.co
 - [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).
+- [Pandas 2.0 vs Polars: The Ultimate Battle](https://medium.com/cuenex/pandas-2-0-vs-polars-the-ultimate-battle-a378eb75d6d1) - A blog post that analyzes in terms of Syntax, Speed, and Usability between Pandas 2.0 and Polars 0.17.0 by [@priyanshu7401](https://github.com/priyanshu7401).
+
 
 ### Talks and videos