rozza

from django.contrib.auth import SESSION_KEY, BACKEND_SESSION_KEY, load_backend
from users.models import AnonymousUser

def get_user(request):
    try:
        user_id = request.session[SESSION_KEY]
        backend_path = request.session[BACKEND_SESSION_KEY]
        backend = load_backend(backend_path)
        user = backend.get_user(user_id) or AnonymousUser()
    except KeyError:

esperlu

#!/bin/sh

# Converts a mysqldump file into a Sqlite 3 compatible file. It also extracts the MySQL `KEY xxxxx` from the
# CREATE block and create them in separate commands _after_ all the INSERTs.

# Awk is choosen because it's fast and portable. You can use gawk, original awk or even the lightning fast mawk.
# The mysqldump file is traversed only once.

# Usage: $ ./mysql2sqlite mysqldump-opts db-name | sqlite3 database.sqlite
# Example: $ ./mysql2sqlite --no-data -u root -pMySecretPassWord myDbase | sqlite3 database.sqlite

rmyers

#!/bin/bash
# 
# Build a virtual environment suitable for running appengine. 
# This uses virtualenvwrapper to make the virtual environment.
# Which you can activate with 'workon appengine'
#
# Everyone loves one-liners!
# Mac one-liner:
#   $ curl -s https://raw.github.com/gist/1012769 | bash
# 

chitchcock

Stevey's Google Platforms Rant

I was at Amazon for about six and a half years, and now I've been at Google for that long. One thing that struck me immediately about the two companies -- an impression that has been reinforced almost daily -- is that Amazon does everything wrong, and Google does everything right. Sure, it's a sweeping generalization, but a surprisingly accurate one. It's pretty crazy. There are probably a hundred or even two hundred different ways you can compare the two companies, and Google is superior in all but three of them, if I recall correctly. I actually did a spreadsheet at one point but Legal wouldn't let me show it to anyone, even though recruiting loved it.

I mean, just to give you a very brief taste: Amazon's recruiting process is fundamentally flawed by having teams hire for themselves, so their hiring bar is incredibly inconsistent across teams, despite various efforts they've made to level it out. And their operations are a mess; they don't real

senko

# maybe.py - a Pythonic implementation of the Maybe monad
# Copyright (C) 2014. Senko Rasic <senko.rasic@goodcode.io>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#

binary1230

3/18/2021: WE HAVE MOVED: For the latest instructions on how to use the bulk wells fargo PDF downloader, 
please ignore this page and visit below:

https://github.com/binary1230/wellsfargo-bulk-PDF-statement-downloader/blob/main/README.md

dhilip89

/**
 * 1. Original JS Implementation by Jeff Greenberg 2/2001 - http://home.earthlink.net/~kendrasg/info/js_opt/
 * 2. (fast duff's device) from an anonymous donor to Jeff Greenberg's site
 * 3. (faster duff's defice) by Andrew King 8/2002 for WebSiteOptimization.com
 * 4. bug fix (for iterations<8) by Andrew B. King April 12, 2003
 */
function duffsDevice (iterations) {
  var testVal = 0,
      n = iterations % 8;

mivade

import asyncio
from pathlib import Path
from typing import Optional

from watchdog.events import FileSystemEvent, FileSystemEventHandler
from watchdog.observers import Observer


class _EventHandler(FileSystemEventHandler):
    def __init__(self, queue: asyncio.Queue, loop: asyncio.BaseEventLoop,

JoeyBurzynski

58 bytes of CSS to look great nearly everywhere

When making this website, i wanted a simple, reasonable way to make it look good on most displays. Not counting any minimization techniques, the following 58 bytes worked well for me:

main {
  max-width: 38rem;
  padding: 2rem;
  margin: auto;
}

LakshyAAAgrawal

Pytranslate - Maxima to Python Translator

Introduction

Package pytranslate, introduced through merge #15 and #17 as a loadable package in Maxima provides Maxima to Python translation functionality. It was developed under the mentorship of Dimiter Prodanov and Robert Dodier as an [INCF](https://www.incf.org/activities/training/google-sum