HTenkanen

import pandas as pd
import geopandas as gpd
from sqlalchemy import create_engine
from geoalchemy2 import Geometry
from shapely.geometry import MultiLineString, MultiPoint, MultiPolygon
from shapely.wkb import dumps
import io
from pyproj import CRS
import csv
import time

dabeaz

# aproducer.py
#
# Async Producer-consumer problem.
# Challenge: How to implement the same functionality, but no threads.

import time
from collections import deque
import heapq

class Scheduler:

datramt

# STRATEGIES FOR GENERATING MELODIES & BASS LINES

# scale pattern
##| my_mel = (scale :e, :minor) # returns a ring

# adding rings together will "concatenate" the lists
##| my_mel = (scale :e, :minor) + (ring :r, :r, :r, :r, :r, :r, :r, :r)

# call the "shuffle" method to scramble the scale and mix in rests
##| my_mel = ((scale :e, :minor) + (ring :r, :r, :r, :r, :r, :r, :r, :r)).shuffle

geffy

# -*- coding: utf-8 -*-
"""
Created on Mon Sep 23 23:16:44 2017

@author: Marios Michailidis

This is an example that performs stacking to improve mean squared error
This examples uses 2 bases learners (a linear regression and a random forest)
and  linear regression (again) as a meta learner to achieve the best score.
The initial train data are split in 2 halves to commence the stacking. 

miguelgrinberg

import asyncio
loop = asyncio.get_event_loop()

async def hello():
    await asyncio.sleep(3)
    print('Hello!')
    
if __name__ == '__main__':
    loop.run_until_complete(hello())
    

pandafulmanda

Python3 Virtualenv Setup

Requirements

• Python 3
• Pip 3

$ brew install python3

jindrichmynarz

use_debug false
use_bpm 130

# Our mixer!
master = (ramp *range(0, 1, 0.01))
kick_volume = 1
bass_volume = 1
revbass_volume = 1
snare_volume = 0.5
hats_volume = 0.5

djonsson

What is this?

Following this guide will set up a local Elasticsearch with Kibana and Marvel using Homebrew and Homebrew Cask

Prerequisites

If you already have Java installed on your system, skip steps Install Cask and Install Java

If you already have Java and Homebrew installed on your system, skip steps Prerequisites, start at Install Elasticsearch and Kibana after running $ brew update

Install Homebrew

• $ ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

darinwilson

#########################################
## Sonic Pi Drum Machine
## coded by Darin Wilson
##

use_bpm 95

in_thread(name: :drum_machine) do

  # choose your kit here (can be :acoustic, :acoustic_soft, :electro, :toy)

robinkraft

import pyproj
from shapely.geometry import shape
from shapely.ops import transform

geom = {'type': 'Polygon',
        'coordinates': [[[-122., 37.], [-125., 37.],
	                     [-125., 38.], [-122., 38.],
                         [-122., 37.]]]}

s = shape(geom)