codeslord

from zipfile import ZipFile
from plistlib import loads
archive = ZipFile('Kodi19Alpha64bit.ipa')
plist_file = archive.read('Payload/Kodi.app/Info.plist')
pl = loads(plist_file)
pl['CFBundleDisplayName'] #output: 'Kodi'

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# Copying folders

self.output_dir = output_dir
if output_dir is not None:
    if not os.path.isdir(output_dir):
        os.makedirs(output_dir)
    html_index_path = pkg_resources.resource_filename("droidbot", "resources/index.html")
    stylesheets_path = pkg_resources.resource_filename("droidbot", "resources/stylesheets")
    images_path = pkg_resources.resource_filename("droidbot", "resources/images")
    target_stylesheets_dir = os.path.join(output_dir, "stylesheets")

codeslord

import threading
import time


class ThreadingExample(object):
    """ Threading example class
    The run() method will be started and it will run in the background
    until the application exits.
    """

codeslord

import datetime
import email
import imaplib
import mailbox


EMAIL_ACCOUNT = "your@gmail.com"
PASSWORD = "your password"

mail = imaplib.IMAP4_SSL('imap.gmail.com')

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# Categorical boolean mask
categorical_feature_mask = X.dtypes==object
# filter categorical columns using mask and turn it into a list
categorical_cols = X.columns[categorical_feature_mask].tolist()

# import labelencoder
from sklearn.preprocessing import LabelEncoder
# instantiate labelencoder object
le = LabelEncoder()

codeslord

#!/usr/bin/env python
"""
This is a small demo file that helps teach how to adjust figure sizes
for matplotlib

"""

import matplotlib
print "using MPL version:", matplotlib.__version__
matplotlib.use("WXAgg") # do this before pylab so you don'tget the default back end.

codeslord

!pip install -U --no-deps mapclassify git+git://github.com/geopandas/geopandas.git@master
!pip install pysal==2
!pip install fiona
!pip install pyproj
%matplotlib inline
import geopandas as gpd
import matplotlib as mpl  # make rcParams available (optional)
mpl.rcParams['figure.dpi']= 144  # increase dpi (optional)
 
world = gpd.read_file(gpd.datasets.get_path("naturalearth_lowres"))

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pairs = set( [(0,1),(0,1),(1,0),(1,2),(1,0),(2,1)] )
set((a,b) if a<=b else (b,a) for a,b in pairs)

or 

pairs = set(frozenset(p) for p in ((0,1),(0,1),(1,0)) )

codeslord

import os
from flask import Flask, request, redirect, url_for,send_from_directory
from werkzeug import secure_filename

UPLOAD_FOLDER = 'uploads/'
ALLOWED_EXTENSIONS = set(['ipa'])

app = Flask(__name__)
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER

codeslord

import sys
def tracefunc(frame, event, arg, indent=[0]):
      if event == "call":
          indent[0] += 2
          print("-" * indent[0] + "> call function", frame.f_code.co_name)
      elif event == "return":
          print("<" + "-" * indent[0], "exit function", frame.f_code.co_name)
          indent[0] -= 2
      return tracefunc