November 15, 2021, 3:30pm to 5:00pm
Intended audience:
Academic Support Staff, Faculty, Graduate Student Instructors, Graduate Students, Instructors, Post-Doctoral Students, Researchers
Research IT is offering an intermediate training session on using Python and Jupyter on Savio, the campus Linux high-performance computing cluster. We will give an overview and best practices of Python environment and package management using pip and conda, using and debugging Jupyter notebooks on Savio via Open On Demand, creating custom Jupyter notebook kernels, and basic parallelization strategies in Python (ipyparallel, Dask, and Ray), with examples on the command line and using Jupyter.
Register for this training here!
Please note that this session will begin at Berkeley Time (3:40 p.m.).
Location:
Virtual Event (Register for event link)