From 00451552d11f30e7b5b717006cfbe52fb07f552c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Vin=C3=ADcius=20Baca?=
 <53339224+viniciusbaca@users.noreply.github.com>
Date: Tue, 6 Aug 2024 12:54:49 -0300
Subject: [PATCH] Added polars lib.

  - On Python/Numerical Libraries & Data Structures section.
---
 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index 9716022..43b96e3 100644
--- a/README.md
+++ b/README.md
@@ -30,6 +30,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
 - [numpy](https://www.numpy.org) - NumPy is the fundamental package for scientific computing with Python.
 - [scipy](https://www.scipy.org) - SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering.
 - [pandas](https://pandas.pydata.org) - pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.
+- [polars](https://docs.pola.rs/) - Polars is a blazingly fast DataFrame library for manipulating structured data.
 - [quantdsl](https://github.com/johnbywater/quantdsl) - Domain specific language for quantitative analytics in finance and trading.
 - [statistics](https://docs.python.org/3/library/statistics.html) - Builtin Python library for all basic statistical calculations.
 - [sympy](https://www.sympy.org/) - SymPy is a Python library for symbolic mathematics.