Docker/Accelerated Python: Fix placement of newer nsys and ncu on the path.

Author: brycelelbach

tutorials/accelerated-python/brev/dockerfile

@@ -36,7 +36,9 @@ RUN curl -L -O https://developer.nvidia.com/downloads/assets/tools/secure/nsight
  && curl -L -O https://developer.download.nvidia.com/compute/cuda/repos/debian12/x86_64/nsight-compute-2025.2.1_2025.2.1.3-1_amd64.deb \
  && dpkg -i nsight-compute-2025.2.1_2025.2.1.3-1_amd64.deb \
  && rm -f nsight-compute-2025.2.1_2025.2.1.3-1_amd64.deb \
- && echo "export PATH=\"/opt/nsight-systems-cli/2025.3.1/bin:/opt/nvidia/nsight-compute/2025.2.1:${PATH}\"" >> ~/.bashrc
+ && mkdir -p /usr/local/nvidia/bin \
+ && ln -s /opt/nvidia/nsight-systems-cli/2025.3.1/bin/nsys /usr/local/nvidia/bin/nsys \
+ && ln -s /opt/nvidia/nsight-compute/2025.2.1/ncu /usr/local/nvidia/bin/ncu
 
 # Install PyTorch with CUDA 12.8 support.
 RUN pip install --no-cache-dir --root-user-action=ignore \