update a few more Python references to Python 3.10 (#4637)

Contributes to rapidsai/build-planning#88.

#4625 dropped Python 3.9 support here (as part of the RAPIDS-wide effort to drop Python 3.9 in this release). This PR fixes a few things that were missed in that PR.

Authors:
  - James Lamb (https://github.com/jameslamb)
  - https://github.com/jakirkham

Approvers:
  - Don Acosta (https://github.com/acostadon)
  - https://github.com/jakirkham
  - Bradley Dice (https://github.com/bdice)
  - Mike Sarahan (https://github.com/msarahan)
  - Alex Barghi (https://github.com/alexbarghi-nv)
  - Rick Ratzel (https://github.com/rlratzel)

URL: #4637

.pre-commit-config.yaml

@@ -17,7 +17,7 @@ repos:
     hooks:
       - id: black
         language_version: python3
-        args: [--target-version=py39]
+        args: [--target-version=py310]
         files: ^(python/.*|benchmarks/.*)$
         exclude: ^python/nx-cugraph/
   - repo: https://github.com/PyCQA/flake8

docs/cugraph/source/installation/source_build.md

@@ -12,8 +12,7 @@ __Compilers:__
 * `nvcc`          version 11.5+
 
 __CUDA:__
-* CUDA 11.2+
-* NVIDIA driver 470.42.01 or newer
+* CUDA 11.8+
 * NVIDIA GPU, Volta architecture or later, with [compute capability](https://developer.nvidia.com/cuda-gpus) 7.0+
 
 Further details and download links for these prerequisites are available on the
@@ -178,7 +177,7 @@ Run either the C++ or the Python tests with datasets
    make test
    ```
 
-Note: This conda installation only applies to Linux and Python versions 3.8/3.11.
+Note: This conda installation only applies to Linux and Python versions 3.10 and 3.11.
 
 ### (OPTIONAL) Set environment variable on activation
 

docs/cugraph/source/tutorials/cugraph_notebooks.md

@@ -55,10 +55,9 @@ Running the example in these notebooks requires:
   * Download via Docker, Conda (See [__Getting Started__](https://rapids.ai/start.html))
 
 * cuGraph is dependent on the latest version of cuDF.  Please install all components of RAPIDS
-* Python 3.8+
-* A system with an NVIDIA GPU:  Pascal architecture or better
+* Python 3.10+
+* A system with an NVIDIA GPU: Volta architecture or newer
 * CUDA 11.4+
-* NVIDIA driver 450.51+
 
 ## Copyright
 

docs/cugraph/source/wholegraph/installation/source_build.md

@@ -16,8 +16,7 @@ __Compiler__:
 
 __CUDA__:
 * CUDA 11.8+
-* NVIDIA driver 450.80.02+
-* Pascal architecture or better
+* Volta architecture or better
 
 You can obtain CUDA from [https://developer.nvidia.com/cuda-downloads](https://developer.nvidia.com/cuda-downloads).
 
@@ -177,7 +176,7 @@ Run either the C++ or the Python tests with datasets
     ```
 
 
-Note: This conda installation only applies to Linux and Python versions 3.8/3.10.
+Note: This conda installation only applies to Linux and Python versions 3.10 and 3.11.
 
 ## Creating documentation
 

notebooks/README.md

@@ -56,10 +56,9 @@ Running the example in these notebooks requires:
   * Download via Docker, Conda (See [__Getting Started__](https://rapids.ai/start.html))
 
 * cuGraph is dependent on the latest version of cuDF.  Please install all components of RAPIDS
-* Python 3.8+
-* A system with an NVIDIA GPU:  Pascal architecture or better
+* Python 3.10+
+* A system with an NVIDIA GPU: Volta architecture or newer
 * CUDA 11.4+
-* NVIDIA driver 450.51+
 
 ### QuickStart
 

python/nx-cugraph/lint.yaml

@@ -43,7 +43,7 @@ repos:
     rev: v3.16.0
     hooks:
       - id: pyupgrade
-        args: [--py39-plus]
+        args: [--py310-plus]
   - repo: https://github.com/psf/black
     rev: 24.4.2
     hooks: