Tutorials

This page is a tutorial introduction to epyc.

• First tutorial: Getting started
  • Concepts
  • A repeatable computational environment
  • A simple experiment
  • Defining the experiment
  • Types of results from the experiment
  • Testing the experiment
  • A lab for the experiment
  • Specifying the experimental parameters
  • Running the experiment
  • Accessing the results
  • Running more experiments
• Second tutorial: Parallel execution
  • Two ways to get parallelism
  • Setting up a compute cluster
  • Running experiments on a cluster
  • Common problems with clusters
  • Clusters versus local parallelism
• Third tutorial: Larger notebooks
  • Structuring larger datasets
  • Persistent datasets
  • Pending results
  • Locking result sets
• Fourth tutorial: Integration with Jupyter
  • What is Jupyter
  • Jupyter notebooks and compute servers
  • Avoiding repeated computation
  • Using createWith
  • Using already
  • Limitations
  • Sharing code between notebooks and engines