alekseykulikov

Recently CSS has got a lot of negativity. But I would like to defend it and show, that with good naming convention CSS works pretty well.

My 3 developers team has just developed React.js application with 7668 lines of CSS (and just 2 !important). During one year of development we had 0 issues with CSS. No refactoring typos, no style leaks, no performance problems, possibly, it is the most stable part of our application.

Here are main principles we use to write CSS for modern (IE11+) browsers:

• SUIT CSS naming conventions + SUIT CSS design principles;
• PostCSS + CSSNext. Future CSS syntax like variables, nesting, and autoprefixer are good enough;
• Flexbox is awesome. No need for grid framework;
• Normalize.css, base styles and variables are solid foundation for all components;

guillaumepiot

import os
import io

from PIL import Image

from django.core.urlresolvers import reverse
from django.conf import settings

from rest_framework import status
from rest_framework.test import APITestCase

dkarchmer

/**
 * This is based on: http://docs.aws.amazon.com/lambda/latest/dg/walkthrough-s3-events-adminuser.html
 */
// dependencies
var async = require('async');
var AWS = require('aws-sdk');
var gm = require('gm').subClass({ imageMagick: true }); // Enable ImageMagick integration.
var util = require('util');

var MAX_WIDTH;

carljm

"""Utility for pulling settings from the environment."""
import os
from urllib.parse import urlparse


class EnvParser:
    """Utility for getting settings from the OS environ.

    Instantiate with the name of an env var to get the current mode from (that
    env var should be set to one of VALID_MODES, or not set), then call the

bearfrieze

Comprehensions in Python the Jedi way

by Bjørn Friese

Beautiful is better than ugly. Explicit is better than implicit.

-- The Zen of Python

I frequently deal with collections of things in the programs I write. Collections of droids, jedis, planets, lightsabers, starfighters, etc. When programming in Python, these collections of things are usually represented as lists, sets and dictionaries. Oftentimes, what I want to do with collections is to transform them in various ways. Comprehensions is a powerful syntax for doing just that. I use them extensively, and it's one of the things that keep me coming back to Python. Let me show you a few examples of the incredible usefulness of comprehensions.

KeyMaster-

//To be used on shadertoy.com
//Uses the image at iChannel0 and warps it into polar coordinates
void mainImage( out vec4 fragColor, in vec2 fragCoord )
{
    vec2 relativePos = fragCoord.xy - (iResolution.xy / 2.0);
    vec2 polar;
    polar.y = sqrt(relativePos.x * relativePos.x + relativePos.y * relativePos.y);
    polar.y /= iResolution.x / 2.0;
    polar.y = 1.0 - polar.y;

bryanl

docs

To start godoc at log in time (so it always there on port 6060 when you need it):

1. copy smarticus.godoc.plist to in ~/Library/LaunchAgents
2. launchctl load ~/Library/LaunchAgents/smarticus.godoc.plist
3. visit http://localhost:6060

chrismetcalf

import numpy as np
import pandas as pd
import datetime
import urllib

from bokeh.plotting import *
from bokeh.models import HoverTool
from collections import OrderedDict

## Read in our data. We've aggregated it by date already, so we don't need to worry about paging

equaliser

/*
  MCP4922 test
  Steve Woodward, 2010
  most code borrowed from
  http://mrbook.org/blog/2008/11/22/controlling-a-gakken-sx-150-synth-with-arduino/

    connections
====================================================

+5v           > 4922 pin 1

snipe

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