hannorein

#!/usr/bin/python
from selenium import webdriver
import unittest, time, re
from random import choice


correctanswers = []

def tryitnow ():
        # Copy and paste the module url below, including the key:

hannorein

function computeHELCOR($gjd, $ra, $de) {
//  $eps=23.45*Pi()/180;

	$ra = EREgI_Replace(" ", "", $ra);
	$de = EREgI_Replace(" ", "", $de);
	$ra_hh = IntVal(substr($ra, 0, 2));
	$ra_mm = IntVal(substr($ra, 2, 2));
	$ra_vv = DoubleVal(substr($ra, 4, 4));
	$de_dd = IntVal(substr($de, 0, 3));
	$de_mm = IntVal(substr($de, 3, 2));

hannorein

#!/usr/bin/python
import xml.etree.ElementTree as ET, urllib, gzip, io
url = "https://github.com/OpenExoplanetCatalogue/oec_gzip/raw/master/systems.xml.gz"
oec = ET.parse(gzip.GzipFile(fileobj=io.BytesIO(urllib.urlopen(url).read())))

# Output mass and radius of all planets 
for planet in oec.findall(".//planet"):
    print [planet.findtext("mass"), planet.findtext("radius")]

# Find all circumbinary planets 

hannorein

with open('somefile.txt', 'a') as f:
  N = len(a)
  for i in xrange(N):
      f.write("%e %e %e\n" %(a[i],b[i],c[i]))

hannorein

import struct
with open('somefile.txt', 'a') as f:
  N = len(a)
  for i in xrange(N):
      f.write(struct.pack("f", a[i]))
      f.write(struct.pack("f", b[i]))
      f.write(struct.pack("f", c[i]))

hannorein

# Create a directory to work in
mkdir rebound
cd rebound

# Create a virtual environment to work in 
# (not required, but keeps your python installation clean)
virtualenv venv
source venv/bin/activate

# Install rebound 

hannorein

import json
import sys

if len(sys.argv)!=2:
    print "Usage: ipynb2py.py FILENAME"
    exit(1)
with open(sys.argv[1]) as data_file:    
    ipynb = json.load(data_file)

code = ""

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/**
 * A.S. This is my planetesimal disk with special integrator for close encounters.
 *      Particle id's: 0 = star, 1 = massive body, 2 = planetesimal, 3 = CLOSE ENCOUNTER
 *
 */
#include <stdio.h>
#include <stdlib.h>
#include <unistd.h>
#include <math.h>
#include <time.h>

hannorein

hannorein

%matplotlib inline
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
m = np.array([1.0, 3.0404326480226416e-06, 0.0009547919152112404, 0.0002858856727222417])
r = np.array([[0.0, 0.0, 0.0], [-0.5774742940580093, 0.7974401660237153, -2.611328235294271e-05], [-5.2320819021823235, 1.4130269395522546, 0.11120655650204452], [-3.5888816588976513, -9.343800743805208, 0.30528182406879745]])
v = np.array([[0.0, 0.0, 0.0], [-0.8263301482607002, -0.5903562644526552, 2.5048741249552767e-05], [-0.11971493094874505, -0.40317587415621225, 0.00435283234131933], [0.28498977476287424, -0.11757835716481167, -0.009305024058343627]])
plt.xlim([-6,6])
plt.ylim([-6,6])
plt.plot(r[:,0:1],"o",label=["sun"]);