Reid Williams ReidWilliams

git checkout --track -b origin/

rsync -avh source/ destination

-a, archive (recursive and preserve everything about the file)
-v, verbose
-h, human readable sizes

Also useful:
-n, dry run
-z, compress
--delete, delete files that don't exist on the source side

	<html>
	<body>
	<script type="module">
	// Use a simple local http server like 'python3 -m http.server'
	// Needs to liston on port 8000
	// Janky, but I use a local copy of the Ethers libray to avoid CORS headaches
	// https://cdn.ethers.io/lib/ethers-5.2.esm.min.js

	// Ethers docs:
	// https://docs.ethers.io/v5/getting-started/

	import React from 'react'

	const createContainer = (ComposedComponent) => {
	class Container extends React.Component {
	render() {
	const componentProps = {
	...this.props
	}

	return (

	// Dependencies
	import React from 'react'
	import { storiesOf } from '@storybook/react'
	import centered from '@storybook/addon-centered'
	import { action } from '@storybook/addon-actions'

	// Local Dependencies
	import { ComponentDecorator } from 'stories/decorators'
	import MyComponent from './index'

	import React from 'react'
	import PropTypes from 'prop-types'
	import styled from 'styled-components'

	// locals
	// import { theme } from 'styles'

	const Root = styled.div``

	class MyComponent extends React.Component {

	def estimate(self, X):
	""" Use saved model to predict/estimate retention probability.

	Arguments:
	X (dict): dictionary of features, values.
	Automatically uses model trained on same set of features as
	X argument.

	Returns:
	List of one element, retention probability.

	# rename a dataframe column
	dataframe = dataframe.rename(index=str, columns={'old_col_name': 'new_col_name'})

	# get all possible values for a string / categorical column
	dataframe[column].value_counts(dropna=False)

	# group data and count number of rows in a group
	grouped = dataframe.groupby(color)
	nreds = len(grouped.get_group('red'))

	$ pip freeze > requirements.txt
	$ pip install -r requirements.txt

	POINT \((-?\d+.\d+) (-?\d+.\d+)\)
	$1,$2