Update python req in README.md

README.md

@@ -19,7 +19,7 @@ By the end of this tutorial, you will have built a distributed training environm
 By following these steps, you will not only gain hands-on experience with the FEDn platform but also learn how to integrate object detection tasks with YOLOv8 in a federated learning environment.
 
 ## Prerequisites
--  `Python >=3.8, <=3.12` <https://www.python.org/downloads>
+-  `Python >=3.9, <=3.12` <https://www.python.org/downloads>
 
 ## Step 1: Starting the server in FEDn
 Firstly, create an account on the FEDn studio platform <https://fedn.scaleoutsystems.com/signup>.
@@ -149,4 +149,4 @@ In this tutorial, you have learned how to implement Ultralytics YOLOv8 models in
 Steps 1, 2, 5, 6, 7 and 8 only need to be done once to set up the federated learning environment in FEDn.
 
 To connect a new client, the only steps that needs to be followed are step 2, 3, 4 and 9.
-Each client can have different configurations in the client_config.yaml file to account for different hardware and training requirements.
+Each client can have different configurations in the client_config.yaml file to account for different hardware and training requirements.