Python

NREL HPC Documentation

• Anaconda virtual environments: Utilize a specific version of Python and install packages within a conda environment.
• Dask: Parallelize your Python code using the Python-native package Dask.
• Intro to Jupyter notebooks: Run interactive Jupyter notebooks on NREL HPC systems.
• Interactive Parallel Python with Jupyter: Examples of launching parallel Python code from Jupyter notebooks on NREL HPC systems.

Interactive Tutorials

The Interactive Parallel Python with Jupyter page demonstrates various examples of using popular parallel Python packages from a Jupyter notebook.

• Example notebooks to download and test:
  • cupy
  • numbaCUDA
  • cupy ipyparallel
  • dask

HPC Python

Links to External resources:

• MPI4PY: Python bindings to use MPI to distribute computations across cluster nodes
• Dask: Easily launch Dask workers on one node or across nodes
• Numba: Optimize your Python code to run faster
• PyCUDA: Utilize GPUs to accelerate computations