This app runs a fully-managed Dask cluster of an arbitrary size. It also launches a Jupyter instance that is configured to work with the Dask cluster.
To access the Dask cluster in your notebooks simply use the DASK_SCHEDULER environment variable:
from dask.distributed import Client
import os
client = Client(os.environ['DASK_SCHEDULER'])
This app includes many Python packages for scientific computing:
- dask
- pandas
- numexpr
- matplotlib
- scipy
- seaborn
- scikit-learn
- scikit-image
- sympy
- cython
- patsy
- statsmodel
- cloudpickle
- dill
- numba
- bokeh
- sqlalchemy
- hdf5
- vincent
- beautifulsoup
- protobuf
- xlrd
- bottleneck
- pytables
- ipywidgets
- ipymp