Changed font in README 4

README.md

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 ### Performance
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 You have probably heard of Polars DataFrame. It is implemented in Rust and ported with zero-overhead to Python (as long as you don’t have a loop). I have been asked by many people to write a comparison for <B>DataFrame vs. Polars</B>. So, I finally found some time to learn a bit about Polars and write a very simple benchmark.<BR>
 I wrote the following identical programs for both Polars and C++ DataFrame. I used Polars version 0.19.14. And I used C++20 clang compiler with -O3 option. I ran both on my, somewhat outdated, MacBook Pro.<BR>
 In both cases, I created a dataframe with 3 random columns. The C++ DataFrame also required an additional index column of the same size. Polars doesn’t believe in index columns (that has its own pros and cons. I am not going through it here).
@@ -93,7 +92,6 @@ Pandas, for comparison:
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 [**Please consider sponsoring DataFrame, especially if you are using it in production capacity. It is the strongest form of appreciation**](https://github.com/sponsors/hosseinmoein)
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