jonmaim

'use strict';

process.env.NODE_TLS_REJECT_UNAUTHORIZED = '0';

var localtunnel = require('localtunnel');
var request = require('request');

var qs = require('querystring');
var url = require('url');
var http = require('http');

jkleint

#!/usr/bin/env python
"""
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
"""

from __future__ import print_function, division

import numpy as np
from keras.layers import Convolution1D, Dense, MaxPooling1D, Flatten
from keras.models import Sequential

lloydmeta

import akka.actor._
import akka.stream.scaladsl.Flow
import org.apache.spark.streaming.dstream.ReceiverInputDStream
import org.apache.spark.streaming.receiver.ActorHelper
import akka.actor.{ ExtensionKey, Extension, ExtendedActorSystem }

import scala.reflect.ClassTag

object AkkaStreamSparkIntegration {

fredbenenson

layout	title	description	tags
default	SQL Style Guide	A guide to writing clean, clear, and consistent SQL.	data process

Purpose

clhenrick

PostgreSQL & PostGIS Cheatsheet

This is a collection of information on PostgreSQL and PostGIS for what I tend to use most often.

TOC

• Installing Postgres & PostGIS
• Using Postgres on the command line: PSQL
• Importing Data into Postgres
• Exporting Data from Postgres
• Joining Tables

YKCzoli

Processing LiDAR to extract building heights

Walk through

Detailed walk through of building extraction using postgis

First lets pull a data layer from of openstreetmap. You can do this any which way you’d like, as there are a variety of methods for pulling openstreetmap data from their database. Check the [wiki] (http://wiki.openstreetmap.org/wiki/Downloading_data) for a comprehensive list. My favourite method thus far is pulling the data straight into QGIS using the open layers plugin. For those who may want to explore this method, check [this tutorial] (http://www.qgistutorials.com/en/docs/downloading_osm_data.html). For building extraction you only need building footprints, and include the building tags. Not all polygons are of type building in OSM, so we can download all the polygons, and then filter the layer for only polygons tagged as buildings.

LiDAR data was pulled from USGS via the Earth Explorer site. [Here] (http://earthobservatory.nasa.gov/blogs/ele

jwass

import matplotlib.pyplot as plt
import numpy as np

from shapely.geometry import LineString
from shapely.ops import triangulate

def uniform_sample(poly, n=100):
    """
    Uniformly sample the Delaunay triangulation of a polygon. If the polygon
    is convex, this will uniformly sample its area.

JesseBuesking

---
version: 1
disable_existing_loggers: False
formatters:
    simple:
        format: "%(name)-20s%(levelname)-8s%(message)s"
handlers:
    console:
        class: logging.StreamHandler
        level: DEBUG

troyhill

### Important note: I'm no longer maintaining this gist, since this code is incorporated into the
### VulnToolkit package.
### Because it's not being maintained, the code below might not work. The latest, updated version
### is available at https://github.com/troyhill/VulnToolkit/blob/master/R/HL.r



### Function to pick out high and low tides from a dataset of tidal water levels
###
### Arguments: 

szs8

#!/usr/bin/env python

import wx
from wx import EVT_CLOSE
import wx.grid as gridlib

EVEN_ROW_COLOUR = '#CCE6FF'
GRID_LINE_COLOUR = '#ccc'

class PandasTable(wx.Frame):