cestella

#!/bin/sh
  WORK_DURATION=$(echo "60 $1 * p" | dc)
  PLAY_DURATION=$(echo "60 $2 * p" | dc)
  echo "WORK DURATION: $WORK_DURATION seconds"
  echo "PLAY DURATION: $PLAY_DURATION seconds"
  while :
  do
     echo "WORKING FOR $1 minutes"
     sleep $WORK_DURATION && \
     echo "^G" && \ 

cestella

#!/bin/bash

BRANCH_NAME=$1
shift

for project in $@;do
   pushd $project >& /dev/null
   MAX="";
   MIN="";
   CURR_FILE="";

cestella

Keybase proof

I hereby claim:

• I am cestella on github.
• I am cstella (https://keybase.io/cstella) on keybase.
• I have a public key whose fingerprint is 50E6 D91A 3DBC 81BC B07C A91A 4B40 C1AF D0D2 850C

To claim this, I am signing this object:

cestella

• Click into the drawing area to start the selection frame
• move the mouse to resize the selection frame
• Release the mouse button to resize the selection frame

(The circles are just for illustrating purposes)

cestella

Here's a d3 plugin that allows you to create a polygon selection. You instantiate it just like d3.svg.brush.

var brush = d3.svg.polybrush();

It has an extra public method that 'brush' does not, and that's 'isWithinExtent(x, y)'. You can use this method to test if a given point falls within the drawn extent.

if (brush.isWithinExtent(x, y)) {
  console.log("I'm inside!");
}

cestella

d3 scatterplot example using the Breakfast Cereal Dataset from http://idvbook.com and based on the scatterplot example at http://bl.ocks.org/mbostock/3887118

cestella

from flask import Flask
from flask import request,jsonify
import socket
app = Flask(__name__)

@app.route("/apply", methods=['GET'])
def predict():
        h = request.args.get('host')
        r = {}
        if h == 'yahoo.com' or h == 'amazon.com':

cestella

import sklearn
import numpy as np
import math
import pickle
import collections
class DGA:
  def __init__(self):
    self.model = { 'clf': pickle.loads(open('./dga_model_random_forest.model','rb').read())
                 , 'alexa_vc': pickle.loads(open('./dga_model_alexa_vectorizor.model','rb').read())
                 , 'alexa_counts': pickle.loads(open('./dga_model_alexa_counts.model','rb').read())

cestella

package com.notmetron.stellar;

import org.apache.metron.common.dsl.Context;
import org.apache.metron.common.dsl.ParseException;
import org.apache.metron.common.dsl.Stellar;
import org.apache.metron.common.dsl.StellarFunction;

import java.util.List;

public class TimeFunction {