epyc
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Installation
Tutorials
First tutorial: Getting started
Second tutorial: Parallel execution
Third tutorial: Larger notebooks
Fourth tutorial: Integration with Jupyter
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Tutorials
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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
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