Add suggestion to create conda environment with recent CMake to build nvbench

Author: oleksandr-pavlyk

python/README.md

@@ -6,6 +6,15 @@ This package provides Python API to CUDA Kernel Benchmarking Library `NVBench`.
 
 ### Build `NVBench` project
 
+Since `nvbench` requires a rather new version of CMake (>=3.30.4), either build CMake from sources, or create a conda environment with a recent version of CMake, using
+
+```
+conda create -n build_env --yes  cmake ninja
+conda activate build_env
+```
+
+Now switch to python folder, configure and install NVBench library, and install the package in editable mode:
+
 ```
 cd nvbench/python
 cmake -B nvbench_build --preset nvbench-ci -S $(pwd)/.. -DCMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc -DNVBench_ENABLE_EXAMPLES=OFF -DCMAKE_INSTALL_PREFIX=$(pwd)/nvbench_install