Parallel Python with Dask - Setup

Setup

Go to Dask Binder

Launch the Binder instance at the Dask Example Page and go from there!

Done. If you would prefer to have a local version of the Python environment we are using, see below for setup instructions.

At home setup

To complete the exercises presented in the workshop, you may create a Python environment with the following packages:

conda create -n quantum python=3.9 numpy scipy pandas scikit-learn seaborn dask jupyterlab -c conda-forge

At the time of this workshop, the major package versions were:

dask=2022.10.0
jupyterlab=3.4.8
matplotlib-base=3.5.3
numpy=1.23.4
pandas=1.5.1
python=3.9.13
scikit-learn=1.1.2
scipy=1.9.3
seaborn=0.12.1

Other combinations may also work.