/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

Primary LanguageJupyter Notebook

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