The following instructions are tested on 64-bit linux only.

The following create an environment named "pycudf_notebook_py35" with all the necessary packages:

$ conda env create -f=../conda_environments/notebook_py35.yml

Or with a different environment name:

$ conda env create -f=../conda_environments/notebook_py35.yml -n <new_env_name>

Continue with the following steps using the conda environment created.

source activate pycudf_notebook_py35

$ jupyter notebook

Decompress the ipums_easy.csv.gz for sample data used by the notebook.

Using mapdql:

1. create table ipums_easy with the content in ./create_table_ipums_easy.txt

2. import CSV

   COPY ipums_easy FROM './ipums_easy.csv';