chriddyp

[
	/* Navigate quickly through a file - Move by horizontally words and vertically by blocks */
	{ "keys": ["ctrl+l"], "command": "move", "args": {"by": "subwords", "forward": true}},
	{ "keys": ["ctrl+j"], "command": "move", "args": {"by": "subwords", "forward": false}},	
	{ "keys": ["ctrl+option+k"], "command": "move", "args": {"by": "stops", "forward": true, "empty_line": true}},
	{ "keys": ["ctrl+option+i"], "command": "move", "args": {"by": "stops", "forward": false, "empty_line": true}},	

	/* Fine-grained navigation - Move horizontally by characters and vertically by lines */
	{ "keys": ["ctrl+option+l"], "command": "move", "args": {"by": "characters", "forward": true}},
	{ "keys": ["ctrl+option+j"], "command": "move", "args": {"by": "characters", "forward": false}},

nicolaskruchten

import dash
from dash.dependencies import Input, Output
import dash_core_components as dcc
import dash_html_components as html
import plotly.express as px

gapminder = px.data.gapminder().query("year == 2007")

input_figure = px.scatter(gapminder, x="gdpPercap", y="lifeExp", size="pop",
          custom_data=[gapminder.index], # this is the special bit!

manigandham

React

• Ant Design - https://ant.design/
• Atlaskit by Atlassian - https://atlaskit.atlassian.com/
• Base Web by Uber - https://baseweb.design/
• Blueprint by Palantir - https://blueprintjs.com/
• Carbon by IBM - https://www.carbondesignsystem.com/
• Elastic UI by Elastic - https://elastic.github.io/eui/
• Evergreen by Segment - https://evergreen.segment.com/

anandology

"""Reactive expressions for Dash!

Dash[1] is an interesting project build reactive web applications in Python.
While the ideas are exciting, the syntax for specifying custom code is way
too complicated that it should be.

Here is a sample code to display sum of two input values.

@app.callback(
    [Input(component_id='x', component_property='value')]

chriddyp

# See official docs at https://dash.plotly.com
# pip install dash pandas

from dash import Dash, dcc, html, Input, Output
import plotly.express as px

import pandas as pd

df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/gapminderDataFiveYear.csv')

internaut

### generate questionnaire data

library(triangle)

set.seed(0)

q1_d1 <- round(rtriangle(1000, 1, 7, 5))
q1_d2 <- round(rtriangle(1000, 1, 7, 6))
q1_d3 <- round(rtriangle(1000, 1, 7, 2))

mick

First your need plotly npm package, and a plotly account.

npm install plotly export PLOTLY_USERNAME=<plotly-username> export PLOTLY_APIKEY=<plotly-apikey> export MAPBOX_ACCESS_TOKEN=<your-mapbox-token>

To generate a image: curl --silent "https://api.mapbox.com/analytics/v1/accounts/?period=2016-01-01,2016-04-29&access_token=$MAPBOX_ACCESS_TOKEN" | ./render-image.js > chart.png

avimar

var myURL="mydomain.com";

var restifyOptions={}
restifyOptions.certificate = fs.readFileSync('PathTo:fullchain.pem');
restifyOptions.key = 		fs.readFileSync('PathTo:privkey.pem');
var server = restify.createServer(restifyOptions);

var nonSecure = restify.createServer({name: 'redirectToSSL'});
		nonSecure.get(/.*/,function (req, res, next) {
			res.redirect(301, 'https://' + myURL + req._url.href, next);

gtallen1187

"A little bit of slope makes up for a lot of y-intercept"

01/13/2012. From a lecture by Professor John Ousterhout at Stanford, class CS140

Here's today's thought for the weekend. A little bit of slope makes up for a lot of Y-intercept.

[Laughter]

doeg

Websites

• http://www.smashingmagazine.com/
• http://blog.invisionapp.com/
• https://css-tricks.com/
• https://dribbble.com
• http://www.siteinspire.com/
• https://codepen.io
• https://ia.net/know-how
• https://deardesignstudent.com/
• http://practicaltypography.com/