{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# About\n", "\n", "With *TC Footprint*, I was inspired by vectorization ideas from [From Python to Numpy](https://www.labri.fr/perso/nrougier/from-python-to-numpy/) so I wanted to see if I could try vectorizing the tropical cyclone footprint method found in [my first paper](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2016GL072023), but this time instead of using NCL, I am using Python, and instead of using loops, hopefully using vectorization!\n", "\n", "I will be using:\n", "\n", "- xarray and pandas for data processing and interpolation\n", "- ahlive for animations\n", "\n", "The following pages will demonstrate how I go about it implementing this." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.5" } }, "nbformat": 4, "nbformat_minor": 4 }