MattSegal

from django.forms import ModelForm
from django.template.loader import render_to_string
from django.shortcuts import render
from django.http import Http404
from django.contrib import messages


class DynamicTableForm(ModelForm):
    """
    Renders a table which can be optionally edited by a user using htmx.

chriscoyier

// Should I be ES6+ing this file? Does it matter? Seems like it would feel nicer but running Babel over this file feels like ouroboros.

// I'm using Gulp 3.x. I couldn't for the life of me get Gulp 4.x going, I think because my Gulp CLI was at too high (??) of a version and no amount of uninstalling and reinstalling would bring it back down.
var gulp = require("gulp");

// I thought I needed this until I found out about gulp.series. Can I refactor anything here?
var runSequence = require("run-sequence");

// Would this be a speed boost for anything? As in, only looking at files that have changed instead of all files?
// https://github.com/sindresorhus/gulp-changed

Heydon

function Mutilator(data, name, context) {
  this.n = name || `mutilation-${+new Date()}`;
  this.d = data;
  this.c = context || window;
  this.isArr = function(p) {
    return this.d[p].constructor == Array;
  };
  this.dispatch = function(p, v, t) {
    this.c.dispatchEvent(
      new CustomEvent(this.n, {

ohansemmanuel

const shortid = require("shortid"); // shortid.generate() returns a unique "short" id
const txtgen = require("txtgen"); // txtgen.sentence() returns random "readable" sentences
const faker = require("faker"); // faker is used for generating random fake data.
const _ = require("lodash"); // lodash is a utility lib for Javascript

const users = generateUsers(10);
export const contacts = _.mapKeys(users, "user_id");
export const getMessages = messagesPerUser => {
  let messages = {};
  _.forEach(users, user => {

threepointone

A series of posts on css-in-js

0. styles as objects

First, an exercise. Can we represent all of css with plain data? Let's try.

let redText = { color: 'red' };

ptarjan

Scaling your API with rate limiters

The following are examples of the four types rate limiters discussed in the accompanying blog post. In the examples below I've used pseudocode-like Ruby, so if you're unfamiliar with Ruby you should be able to easily translate this approach to other languages. Complete examples in Ruby are also provided later in this gist.

In most cases you'll want all these examples to be classes, but I've used simple functions here to keep the code samples brief.

Request rate limiter

This uses a basic token bucket algorithm and relies on the fact that Redis scripts execute atomically. No other operations can run between fetching the count and writing the new count.

delameko

TL;DR

Install Postgres 9.6, and then:

sudo pg_dropcluster 9.6 main --stop
sudo pg_upgradecluster 9.5 main
sudo pg_dropcluster 9.5 main

mau21mau

https://realpython.com/blog/python/asynchronous-tasks-with-django-and-celery/

Install Celery

$ pip install celery

Install celery Broker

$ sudo apt-get install rabbitmq-server

noelboss

Simple automated GIT Deployment using GIT Hooks

Here are the simple steps needed to create a deployment from your local GIT repository to a server based on this in-depth tutorial.

How it works

You are developing in a working-copy on your local machine, lets say on the master branch. Most of the time, people would push code to a remote server like github.com or gitlab.com and pull or export it to a production server. Or you use a service like deepl.io to act upon a Web-Hook that's triggered that service.

Komzpa

TL;DR

9.4 -> 9.5:

sudo pg_dropcluster 9.5 main --stop
sudo service postgresql stop
sudo pg_upgradecluster -m upgrade -k 9.4 main
sudo su postgres -c "/usr/lib/postgresql/9.5/bin/vacuumdb --all --analyze-in-stages"
sudo pg_dropcluster 9.4 main