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VAPOR Python Cookbook

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This Project Pythia Cookbook covers ... (replace ... with the main subject of your cookbook ... e.g., working with radar data in Python)

Motivation

(Add a few sentences stating why this cookbook will be useful. What skills will you, "the chef", gain once you have reached the end of the cookbook?)

Authors

Nihanth W. Cherukuru, Stanislaw 'Stas' Jarosynski, Philip Austin

Contributors

Structure

(State one or more sections that will comprise the notebook. E.g., This cookbook is broken up into two main sections - "Foundations" and "Example Workflows." Then, describe each section below.)

VAPOR Foundations

(Add content for this section, e.g., "The foundational content includes ... ")

Example Workflows

(Add content for this section, e.g., "Example workflows include ... ")

Running the Notebooks

VAPOR requires a GPU ... !

Running on Your Own Machine

If you are interested in running this material locally on your computer, you will need to follow this workflow:

(Replace "cookbook-example" with the title of your cookbooks)

  1. Clone the https://github.com/ProjectPythia/cookbook-example repository:

     git clone https://github.com/ProjectPythia/cookbook-example.git
  2. Move into the cookbook-example directory

    cd cookbook-example
  3. Create and activate your conda environment from the environment.yml file

    conda env create -f environment.yml
    conda activate cookbook-example
  4. Move into the notebooks directory and start up Jupyterlab

    cd notebooks/
    jupyter lab

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  • Jupyter Notebook 97.5%
  • Python 2.5%