Complete code used during the Data Analysis in Parallel tutorial at PyData London 2019. It includes a notebook actually shown in the tutorial, a notebook for fitting the sentiment model, and input data
- Install Anaconda (if you don't have it already)
- Open a terminal (Anaconda Prompt on Windows)
- Unpack this repo and
cd
into it - Get all the packages with
conda env create -f tutorialenv.yaml
- Activate the environment with
source activate tutorial
orconda activate tutorial
- Run the following:
python -m nltk.downloader wordnet
- Start Jupyter with
jupyter lab
- In the lab open the notebook AnalysisTasks.ipynb which is the main demo