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Amazon Rekognition - Python Code Samples

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

PandaWhoCodes

"""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

PandaWhoCodes

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

PandaWhoCodes

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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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 protected]', '[email protected]']

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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 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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# 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 logging

import pexpect
from airflow.hooks.base_hook import BaseHook


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