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import logging

import pexpect
from airflow.hooks.base_hook import BaseHook


class SFTP(object):
    """
    Requires openssh_client. Spawns process to execute sftp command.
    """

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# Zaz Brown
# github.com/zaz/dijkstra
"""An efficient algorithm to find shortest paths between nodes in a graph."""
from collections import defaultdict

class Digraph(object):
    def __init__(self, nodes=[]):
        self.nodes = set()
        self.neighbours = defaultdict(set)
        self.dist = {}

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import sys
import dis
import traceback
import io

def t(frame, event, args):
   frame.f_trace_opcodes=True
   stack = traceback.extract_stack(frame)
   pad = "   "*len(stack) + "|"
   if event == 'opcode':

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requests.post("https://api.mailgun.net/v2/DOMAIN/messages",
              auth=("api", "key-SECRET"),
              files={
                  "attachment[0]": ("FileName1.ext", open(FILE_PATH_1, 'rb')),
                  "attachment[1]": ("FileName2.ext", open(FILE_PATH_2, 'rb'))
              },
              data={"from": "FROM_EMAIL",
                    "to": [TO_EMAIL],
                    "subject": SUBJECT,
                    "html": HTML_CONTENT

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import string
import requests

html = 'https://s3.amazonaws.com/.../email.htm'
content = requests.get(html)

DJANGO_MAILGUN_SERVER_NAME = ''
DJANGO_MAILGUN_API_KEY = ''

recipient_list = ['email@one.com', 'email@two.com']

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1. install zbar on windows with include and library files

2. make sure mingw installed and bin directory added to the path

3. in PYTHONPATH\Lib\distutils, create a file distutils.cfg and add two lines:

   [build]

   compiler=mingw32

4. get dll lib and include file from ftp://sourceware.org/pub/pthreads-win32/dll-latest copy files to PATH_MINGW32/[lib,bin,include] separately, just need file name like pthreadGC2 and remember to chang the name to libpthread

5. change or add lines in setup.py:

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Workshop PyConf Hyderabad

Time Series Analysis with Python

With Applications of Machine Learning Algorithms

Session by Dr. Yves J. Hilpisch | The Python Quants GmbH

Hyderabad, 07. October 2017

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"""Print most frequent N-grams in given file.

Usage: python ngrams.py filename

Problem description: Build a tool which receives a corpus of text,
analyses it and reports the top 10 most frequent bigrams, trigrams,
four-grams (i.e. most frequently occurring two, three and four word
consecutive combinations).

NOTES

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Amazon Rekognition - Python Code Samples

1. Labels Detection
2. Faces Detection
3. Faces Comparison
4. Faces Indexing
5. Faces Search