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README.md

Parallel Computing in Python with Dask @ Data-Driven Wisconsin

This repository contains the materials for my "Parallel Computing in Python with Dask" talk at Data Driven Wisconsin 2019.

An interactive version of the notebook from this talk is available by clicking the "launch binder" button below:

Binder

Setup

Step 1: Create Conda environment

A Conda environment with the dependencies needed to run the notebook from this talk can be created with:

conda env create --name ddw-dask --file binder/environment.yml

Step 2: Activate Conda environment

Activate the Conda environment:

conda activate ddw-dask

Step 3: Install Dask JupyterLab extension (optional)

The Dask JupyterLab extension can be installed with:

jupyter labextension install dask-labextension

inside the activated Conda environment.

Step 4: Launch JupyterLab

The notebook can then be launched with:

jupyter lab ddw-dask.ipynb

Additional Resources

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