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Kellogg PhD Computational Social Science: Methods and Applications

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Before class prep

Before class you need to have anaconda 3.7+ installed and download the course documents.

You should download the v1.03 tag of the course from this git repository.

Installation

Before class starts we'll need to make sure that we're all on the same page. To do that we'll need to install a few extra modules. On the command line of this folder execute:

To install, create a new conda environment:

conda create --name kphd

Activate the environment:

conda activate kphd

Install the conda packages:

conda install -c conda-forge --file requirements_conda.txt

Next install the pip packages:

pip install --upgrade -r requirements_pip.txt

After that, we can install data. The first bit is easy in the same folder execute:

pip install -r requirements_data.txt

After that we need to execute a script from the command line

python requirements_nltk.py

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