Merge pull request #132 from ddotta:ddotta/issue130

Add functime Python library

README.md

@@ -62,7 +62,8 @@ To see the latest entries in the list : <a href="https://www.trackawesomelist.co
 - [polars for Python](https://github.com/pola-rs/polars/tree/master/py-polars) - [Python](https://www.python.org/) `polars` package to use polars DataFrame from Python.
 - [tidypolars](https://tidypolars.readthedocs.io/en/latest/) `tidypolars` python library built on top of polars library that gives access to methods and functions familiar to R tidyverse users.
 - [Working with Polars and XlsxWriter](https://xlsxwriter.readthedocs.io/working_with_polars.html) - Guide to using the Python [XlsxWriter](https://xlsxwriter.readthedocs.io/index.html) library with Polars to create Excel reports.
-- [Python package seaborn_polars](https://github.com/pavelcherepan/seaborn_polars) - Python package to plot Polars DataFrames and LazyFrames with [seaborn](https://seaborn.pydata.org/) by [@pavelcherepan](https://github.com/pavelcherepan)
+- [Python package seaborn_polars](https://github.com/pavelcherepan/seaborn_polars) - Python package to plot Polars DataFrames and LazyFrames with [seaborn](https://seaborn.pydata.org/) by [@pavelcherepan](https://github.com/pavelcherepan).
+- [Python package functime](https://docs.functime.ai/) - Machine learning Python package built on Polars for time-series predictions by [@DescendantAI ](https://github.com/descendant-ai). According to the developpers, it's the world's fastest and most feature-full machine learning forecasting library !
 
 ### Rust