requiring python 3.11 in order to resolve conflicts with UV sync command

Author: jgoldberg-nvidia

CONTRIBUTING.md

@@ -31,7 +31,7 @@ There are many ways to contribute to Quantitative Portfolio Optimization develop
 
 ### Prerequisites
 
-- Python 3.10 or higher
+- Python 3.11 or higher
 - CUDA-capable GPU (for GPU-accelerated features)
 - NVIDIA PyTorch container or equivalent CUDA environment
 
@@ -286,7 +286,7 @@ What actually happened.
 
 **Environment**
 - OS: [e.g., Ubuntu 22.04]
-- Python: [e.g., 3.10]
+- Python: [e.g., 3.11]
 - CUDA: [e.g., 12.2]
 - GPU: [e.g., A100]
 - NVIDIA Quantitative Portfolio Optimization developer example version: [e.g., 25.10]

pyproject.toml

@@ -3,7 +3,7 @@ name = "cufolio"
 version = "25.10"
 description = "Quantitative Portfolio Optimization developer example"
 readme = "README.md"
-requires-python = ">=3.10"
+requires-python = ">=3.11"
 dependencies = [
     "numpy>=2.0.0",
     "pandas>=2.0",
@@ -32,7 +32,7 @@ cuda13 = [
 
 [tool.black]
 line-length = 88
-target-version = ['py310']
+target-version = ['py311']
 
 [tool.isort]
 profile = "black"