{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Examples\n", "\n", "> 🚧 This section is a work in progress. I'm working to add small example notebooks, but in the meantime have listed some other useful sources!\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Verb docs\n", "\n", "Each table verb has longform documentation listed on the sidebar. I highly suggest looking through them. \n", "\n", "Here are the first three:\n", "\n", "* [filter](api_table_core/01_filter.Rmd)\n", "* [arrange](api_table_core/02_arrange.Rmd)\n", "* [select](api_table_core/03_select.Rmd)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Tidy Tuesday screencasts\n", "\n", "I livecode hour long analyses for a project called Tidy Tuesday, using siuba. You can find the notebooks and links to youtube videos listed on [machow/tidytuesday-py](https://github.com/machow/tidytuesday-py).\n", "\n", "I've focused on two kinds of livecoding:\n", "\n", "* [Live translations from R to python](https://github.com/machow/tidytuesday-py#tidy-tuesday-translations-from-r-to-python)\n", "* [Live python analyses](https://github.com/machow/tidytuesday-py#tidy-tuesday-translations-from-r-to-python)\n", "\n" ] } ], "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": "3.6.8" } }, "nbformat": 4, "nbformat_minor": 4 }