DataAnalysisParallel-PyData

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

Installation instructions:

1. Install Anaconda (if you don't have it already)
2. Open a terminal (Anaconda Prompt on Windows)
3. Unpack this repo and cd into it
4. Get all the packages with conda env create -f tutorialenv.yaml
5. Activate the environment with source activate tutorial or conda activate tutorial
6. Run the following: python -m nltk.downloader wordnet
7. Start Jupyter with jupyter lab
8. In the lab open the notebook AnalysisTasks.ipynb which is the main demo