choffstein

import numpy
import scipy.optimize
import pandas

def probability_constraint(x):
    j, n = x.shape

    Aeq = numpy.ones([1, j])
    beq = numpy.array([1.])

alysivji

# -*- coding: utf-8; mode: django -*-
import graphviz
from optparse import make_option

from django.core.management.base import BaseCommand
from django.utils.encoding import force_text

from django_fsm import FSMFieldMixin, GET_STATE, RETURN_VALUE

try:

dhh

ruby '2.7.1'

gem 'rails', github: 'rails/rails'
gem 'tzinfo-data', '>= 1.2016.7'  # Don't rely on OSX/Linux timezone data

# Action Text
gem 'actiontext', github: 'basecamp/actiontext', ref: 'okra'
gem 'okra', github: 'basecamp/okra'

# Drivers

lauralorenz

import requests
import json
from collections import namedtuple
from contextlib import closing
import sqlite3

from prefect import task, Flow

## extract
@task

westonplatter

# Pandas operations

## getting and setting df rows
credit goes to https://stackoverflow.com/a/29262040/665578


for i, row in df.iterrows():
    ifor_val = something
    if <condition>:
      ifor_val = something_else

Vigrond

# Rate limiting with Celery + Django + Redis
# Multiple Fixed Windows Algorithm inspired by Figma https://www.figma.com/blog/an-alternative-approach-to-rate-limiting/
#   and Celery's sometimes ambiguous, vague, and one-paragraph documentation
#
# Celery's Task is subclassed and the is_rate_okay function is added


# celery.py or however your App is implemented in Django
import os
import math

rwev

# -*- coding: utf-8 -*-
"""
ECONEV.PY: Economic Events

Python web-scraper for economic events on the Bloomberg Econoday calendar. 

Saves result of scrape to plain text (in Eastern Time) for flexible processing by other applications. 

Author: rwev (https://github.com/rwev)

kgn

#!/usr/bin/env python

try:
    # For Python 3.0 and later
    from urllib.request import urlopen
except ImportError:
    # Fall back to Python 2's urllib2
    from urllib2 import urlopen

import json

ahawkins

RUBY_IMAGE:=$(shell grep FROM Dockerfile | cut -f2 -d' ')
DYNAMODB_IMAGE:=dynamodb:latest # original value ommitted

APP_IMAGE:=inventory_service/app

TAG:=$(shell git rev-parse --short HEAD)
REGISTRY:=example.registry.com # original value omitted

.DEFAULT_GOAL:= build

mattatcha

var Fluxxor = require('fluxxor');
var request = require('superagent');


var AuthStore = Fluxxor.createStore({
    actions: {
        "LOGIN_AUTH": "onLoginAuth",
    },
    initialize: function() {
        this.currentUser = {};