Mahdisadjadi

import numpy as np
from numpy.linalg import matrix_power
from matplotlib import pyplot as plt
import seaborn as sns

SIZE = 100
M = np.zeros((SIZE, SIZE))

# encoding rolls of die
for y in xrange(SIZE):

Mahdisadjadi

/* json.dumps(StatusObject._json) */

{
    "created_at": "Thu Jul 28 00:08:39 +0000 2016",
    "in_reply_to_status_id": null,
    "id_str": "758454081656467456",
    "retweeted": false,
    "entities": {
        "hashtags": [
            {

Mahdisadjadi

import matplotlib.pyplot as plt
from itertools import product 
import numpy as np

a,b = np.array([4,1]),np.array([1,3])

fig,ax = plt.subplots(1,1,figsize=(5,5))
ax.set_xlim(-6,8)
ax.set_ylim(-6,8)
ax.set_axis_off()

Mahdisadjadi

from bs4 import BeautifulSoup
import requests
url = 'http://export.arxiv.org/oai2?verb=ListSets'
def return_soup(url):
    url = requests.get(url).content
    soup = BeautifulSoup(url,"html.parser")
    return soup
def get_namespace(x):
    name = x.find('setspec').text
    tag = x.find('setname').text

Mahdisadjadi

from bs4 import BeautifulSoup
import requests
# url to scrape
cat_url = 'https://arxiv.org/'
subcat_url = 'https://arxiv.org/archive/'

def return_soup(url):
    url = requests.get(url).content
    soup = BeautifulSoup(url,"html.parser")
    return soup

Mahdisadjadi

#!/bin/bash
# Add a string to the filename before extension  
# original files : results_001.pkl results_002.pkl ...
# target files: results_001_output.pkl results_001_output.pkl ...

for x in *.pkl
do 
  mv "$x" "${x%.pkl}_output.pkl"
done

Mahdisadjadi

Mahdisadjadi

import codecs # to read html
from bs4 import BeautifulSoup # to parse html
import glob # to find all files with a pattern
pages = glob.glob("*.html")

for page in pages:
    # loop through all files
    name = page.split(".")[0]
    print (name)
    html=codecs.open(page, 'r') # read html

Mahdisadjadi

Mahdisadjadi