Updating all Python with pip on Windows OS.

Just use this python module named pip-review.

C:\Python27\Scripts>pip install pip-review
C:\Python27\Scripts>pip-review.exe --auto --verbose
Checking for updates of ...

...

pip-review.exe --auto --verbose
Everything up-to-date

The pycrypto python module - part 001.

This python module name pycrypto is a collection of Python Cryptography Toolkit.
This python module has been created by Andrew Kuchling and now maintained by Dwayne C. Litzenberger.
Let's install under Windows 10 OS using Command Prompt (Admin) shell.

C:\WINDOWS\system32>cd ..

C:\Windows>cd ..

C:\>cd Python27\Scripts

C:\Python27\Scripts>pip install pycrypto
Requirement already satisfied: pycrypto in c:\python27\lib\site-packages

Some info and help under python shell can be seen using this:

C:\Python27>python.exe
Python 2.7.13 (v2.7.13:a06454b1afa1, Dec 17 2016, 20:42:59) [MSC v.1500 32 bit (Intel)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import Crypto
>>> dir(Crypto)
['__all__', '__builtins__', '__doc__', '__file__', '__name__', '__package__', '__path__', 
'__revision__', '__version__', 'version_info']
>>> help(Crypto)
Help on package Crypto:

NAME
    Crypto - Python Cryptography Toolkit

FILE
    c:\python27\lib\site-packages\crypto\__init__.py

DESCRIPTION
    A collection of cryptographic modules implementing various algorithms
    and protocols.

    Subpackages:

    Crypto.Cipher
     Secret-key (AES, DES, ARC4) and public-key encryption (RSA PKCS#1) algorithms    Crypto.Hash
     Hashing algorithms (MD5, SHA, HMAC)
    Crypto.Protocol
     Cryptographic protocols (Chaffing, all-or-nothing transform, key derivation
     functions). This package does not contain any network protocols.
    Crypto.PublicKey
     Public-key encryption and signature algorithms (RSA, DSA)
    Crypto.Signature
     Public-key signature algorithms (RSA PKCS#1)
    Crypto.Util
     Various useful modules and functions (long-to-string conversion, random number
     generation, number theoretic functions)

PACKAGE CONTENTS
    Cipher (package)
    Hash (package)
    Protocol (package)
    PublicKey (package)
    Random (package)
    SelfTest (package)
    Signature (package)
    Util (package)
    pct_warnings

DATA
    __all__ = ['Cipher', 'Hash', 'Protocol', 'PublicKey', 'Util', 'Signatu...
    __revision__ = '$Id$'
    __version__ = '2.6.1'

VERSION
    2.6.1

Let's test some examples with this python module.
The first example comes with encrypting and decrypt message based one key.
The key also needs to be one encryption key and fix to key32.
The iv will not be specified by the user, it will be generated and then encrypted with RSA.
NEVER make the IV constant and unique, it must be unique for every message.
Let's see the example source code:

from Crypto.Cipher import AES
from Crypto import Random
def encrypt(key32,message):
    cipher=AES.new(key32,AES.MODE_CFB,iv)
    msg=cipher.encrypt(message)
    print(msg)
    return msg
def decrypt(key32,msg):
    dec=AES.new(key32,AES.MODE_CFB,iv)
    return dec.decrypt(msg).decode('ascii')
if __name__=='__main__':
    global iv
    iv=Random.new().read(AES.block_size)
    key='free-tutorials.org'
    key32 = "".join([ ' ' if i >= len(key) else key[i] for i in range(32) ])
    message='another website with free tutorials'
    enc =encrypt(key32, message)
    print enc
    print(decrypt(key32,enc))

The resulting output is this:
ﾰ Cﾣﾟ2 ﾶÕ|ýXÍ ﾲNäÇ3ﾖﾞLﾏﾫuï: ù ﾒNﾰm
ﾰ Cﾣﾟ2 ﾶÕ|ýXÍ ﾲNäÇ3ﾖﾞLﾏﾫuï: ù ﾒNﾰm
another website with free tutorials
Another more simplistic example:

from Crypto.Cipher import AES
from Crypto import Random
key = b'Sixteen byte key'
iv = Random.new().read(AES.block_size)
cipher = AES.new(key, AES.MODE_CFB, iv)
msg = iv + cipher.encrypt(b'Attack at dawn')

See the output of variables:

>>> print key
Sixteen byte key
>>> print iv
ÔÄ▀DÒ ÕØ} m║dÕ╚\
>>> print cipher.encrypt(b'Attack at dawn')
åÌ£┴\u\ÍÈSÕ╦╔.

Using MD5 example:

>>> from Crypto.Hash import MD5
>>> MD5.new('free text').hexdigest()
'be9420c1596a781119c53a9933a8234f'

Using RSA key example:

>>> from Crypto.PublicKey import RSA
>>> from Crypto import Random
>>> rng = Random.new().read
>>> RSAkey = RSA.generate(1024, rng)
>>> public_key = RSAkey.publickey()
>>> print public_key
<_rsaobj e="" n="" x3650b98="">
>>> enc_data = public_key.encrypt('test data', 32)[0]
>>> print enc_data
H +îÕÊ ÙH:?ª2S½Fã0á! f¬ = ·+,Í0r³┐o·¼ÉlWy¿6ôên(£jê¿ ╦çª|*°q Ò4ì┌çÏD¦¿╝û╠╠MY¶ïzµ>©a}hRô ]í;
_[v¸¤u:2¦y¾/ ²4R╩HvéÌ'÷Ç)KT:P _<! D
>>> dec_data = RSAkey.decrypt(enc_data)
>>> print dec_data
test data 

Encrypted and decrypted output texts may look different depending on how encoded the used text editor or python language.

The google-cloud-vision python module - part 001.

Google comes with $300 credit for free to sign up into Google Cloud Platform over the next 12 months.
This allows you to deal with access to all Cloud Platform Products.
Today I will show you how to install this platform into your Linux and Windows 10 OS.
For Linux, I used Fedora 26 distro.
Using the Windows 10 operating system and python 2.7 then you can use this command:

pip install --upgrade google-cloud-vision

If you got errors the fix with this command:

C:\Python27\Scripts>pip install --upgrade  --trusted-host  pypi.python.org google-cloud-vision
Collecting google-cloud-vision
  Downloading google_cloud_vision-0.24.0-py2.py3-none-any.whl (68kB)
    100% |################################| 71kB 270kB/s
Collecting google-cloud-core<0 .25dev="">=0.24.0 (from google-cloud-vision)
  Downloading google_cloud_core-0.24.1-py2.py3-none-any.whl (52kB)
    100% |################################| 61kB 1.6MB/s
...
Installing collected packages: appdirs, setuptools, protobuf, httplib2, rsa, pyasn1-modules,
 cachetools, google-auth, google-auth-httplib2, googleapis-common-protos, google-cloud-core,
 pyreadline, dill, futures, grpcio, oauth2client, ply, google-gax, proto-google-cloud-vision-v1,
 gapic-google-cloud-vision-v1, google-cloud-vision, pyparsing
  Found existing installation: appdirs 1.4.0
    Uninstalling appdirs-1.4.0:
      Successfully uninstalled appdirs-1.4.0
  Rolling back uninstall of appdirs
Exception:
Traceback (most recent call last):
  File "c:\python27\lib\site-packages\pip\basecommand.py", line 215, in main
    status = self.run(options, args)
...
    with open(path, 'rb') as stream:
IOError: [Errno 2] No such file or directory: 'c:\\python27\\lib\\site-packages\\
appdirs-1.4.0.dist-info\\METADATA'

I run again the command and I don't have errors:

C:\Python27\Scripts>pip install --upgrade  --trusted-host  pypi.python.org google-cloud-vision
Collecting google-cloud-vision
  Downloading google_cloud_vision-0.24.0-py2.py3-none-any.whl (68kB)
    100% |################################| 71kB 597kB/s
Collecting google-cloud-core<0 .25dev="">=0.24.0 (from google-cloud-vision)
...
  Downloading futures-3.1.1-py2-none-any.whl
Collecting pyparsing (from packaging>=16.8->setuptools->protobuf>=3.0.0->google-cloud-core<0 .25dev="">=0.24.0->google-cloud-vision)
  Downloading pyparsing-2.2.0-py2.py3-none-any.whl (56kB)
    100% |################################| 61kB 4.7MB/s
Installing collected packages: appdirs, setuptools, protobuf, httplib2, rsa, pyasn1-modules,
 cachetools, google-auth, google-auth-httplib2, googleapis-common-protos, google-cloud-core,
 oauth2client, ply, pyreadline, dill, futures, grpcio, google-gax, proto-google-cloud-vision-v1,
 gapic-google-cloud-vision-v1, google-cloud-vision, pyparsing
  Found existing installation: appdirs 1.4.0
    Uninstalling appdirs-1.4.0:
      Successfully uninstalled appdirs-1.4.0
  Found existing installation: setuptools 34.0.2
    Uninstalling setuptools-34.0.2:
      Successfully uninstalled setuptools-34.0.2
  Found existing installation: httplib2 0.9.2
    Uninstalling httplib2-0.9.2:
      Successfully uninstalled httplib2-0.9.2
  Found existing installation: pyparsing 2.1.10
    Uninstalling pyparsing-2.1.10:
      Successfully uninstalled pyparsing-2.1.10
Successfully installed appdirs-1.4.3 cachetools-2.0.0 dill-0.2.6 futures-3.1.1 
gapic-google-cloud-vision-v1-0.90.3 google-auth-1.0.0 google-auth-httplib2-0.0.2 
google-cloud-core-0.24.1 google-cloud-vision-0.24.0 google-gax-0.15.8 googleapis-common-protos-1.5.2
 grpcio-1.3.0 httplib2-0.10.3 oauth2client-3.0.0 ply-3.8 proto-google-cloud-vision-v1-0.90.3
 protobuf-3.2.0 pyasn1-modules-0.0.8 pyparsing-2.2.0 pyreadline-2.1 rsa-3.4.2 setuptools-35.0.2

For Fedora 26 distro I used this command to install the python module:

[root@localhost mythcat]# pip install --upgrade google-cloud-vision --ignore-installed
WARNING: Running pip install with root privileges is generally not a good idea. 
Try `pip install --user` instead.                                         
Collecting google-cloud-vision
  Using cached google_cloud_vision-0.24.0-py2.py3-none-any.whl
...
 google-auth-httplib2, google-cloud-core, google-cloud-vision
  Running setup.py install for dill ... done
  Running setup.py install for future ... done
  Running setup.py install for googleapis-common-protos ... done
  Running setup.py install for ply ... done
  Running setup.py install for google-gax ... done
  Running setup.py install for httplib2 ... done
  Running setup.py install for oauth2client ... done
  Running setup.py install for proto-google-cloud-vision-v1 ... done
  Running setup.py install for gapic-google-cloud-vision-v1 ... done
Successfully installed appdirs-1.4.3 cachetools-2.0.0 dill-0.2.6 enum34-1.1.6 
future-0.16.0 futures-3.1.1 gapic-google-cloud-vision-v1-0.90.3 google-auth-1.0.0
 google-auth-httplib2-0.0.2 google-cloud-core-0.24.1 google-cloud-vision-0.24.0
 google-gax-0.15.9 googleapis-common-protos-1.5.2 grpcio-1.3.0 httplib2-0.10.3
 oauth2client-3.0.0 packaging-16.8 ply-3.8 proto-google-cloud-vision-v1-0.90.3
 protobuf-3.2.0 pyasn1-0.2.3 pyasn1-modules-0.0.8 pyparsing-2.2.0 rsa-3.4.2 
setuptools-35.0.2 six-1.10.0

The nltk python module - part 001.

About nltk python module.
NLTK is a leading platform for building Python programs to work with human language data. The base of this issue is about Natural Language Processing techniques to analyze text like a processing of human language data. You can read the NLTK 3.0 documentation from here.
How to install nltk python module under Windows 10 and Fedora 26 distro.
Install under Windows 10, by using the pip command:

C:\Python27\Scripts>pip install --trusted-host pypi.python.org nltk
Collecting nltk
Downloading nltk-3.2.2.tar.gz (1.2MB)
100% |################################| 1.2MB 2.6MB/s
Requirement already satisfied: six in c:\python27\lib\site-packages (from nltk)
Building wheels for collected packages: nltk
...
Successfully built nltk
Installing collected packages: nltk
Successfully installed nltk-3.2.2

Download all packages into your Windows 10 with this python source code:

C:\Python27>python
Python 2.7.13 (v2.7.13:a06454b1afa1, Dec 17 2016, 20:42:59) [MSC v.1500 32 bit (Intel)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import nltk
>>> nltk.download()
showing info https://raw.githubusercontent.com/nltk/nltk_data/gh-pages/index.xml
True

Under Linux you can install by using the pip command, I used Fedora 26 distro:

[root@localhost mythcat]# pip install nltk
WARNING: Running pip install with root privileges is generally not a good idea.
 Try `pip install --user` instead.
Collecting nltk
  Retrying (Retry(total=4, connect=None, read=None, redirect=None)) after connection broken
 by 'ProtocolError('Connection aborted.', error(104, 'Connection reset by peer'))': /simple/nltk/
  Downloading nltk-3.2.2.tar.gz (1.2MB)
    100% |████████████████████████████████| 1.2MB 1.1MB/s 
Requirement already satisfied: six in /usr/lib/python2.7/site-packages (from nltk)
Installing collected packages: nltk
  Running setup.py install for nltk ... done
Successfully installed nltk-3.2.2

Download all packages into your Fedora 26 distro with this python source code:

[mythcat@localhost ~]$ python 
Python 2.7.13 (default, Feb 21 2017, 12:00:39) 
[GCC 7.0.1 20170219 (Red Hat 7.0.1-0.9)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import nltk
>>> nltk.download()
NLTK Downloader
---------------------------------------------------------------------------
    d) Download   l) List    u) Update   c) Config   h) Help   q) Quit
---------------------------------------------------------------------------
Downloader> d

Download which package (l=list; x=cancel)?
  Identifier> l
Packages:
  [ ] abc................. Australian Broadcasting Commission 2006
  [ ] alpino.............. Alpino Dutch Treebank
...
Collections:
  [ ] all-corpora......... All the corpora
  [ ] all................. All packages
  [ ] book................ Everything used in the NLTK Book

([*] marks installed packages)

Download which package (l=list; x=cancel)?
  Identifier> all
    Downloading collection u'all'
       | 
       | Downloading package abc to /home/mythcat/nltk_data...
       |   Unzipping corpora/abc.zip.
       | Downloading package alpino to /home/mythcat/nltk_data...
       |   Unzipping corpora/alpino.zip.
       | Downloading package biocreative_ppi to
...

Let's start with a simple example by show sample example books:

>>> from nltk.book import *
*** Introductory Examples for the NLTK Book ***
Loading text1, ..., text9 and sent1, ..., sent9
Type the name of the text or sentence to view it.
Type: 'texts()' or 'sents()' to list the materials.
text1: Moby Dick by Herman Melville 1851
text2: Sense and Sensibility by Jane Austen 1811
text3: The Book of Genesis
text4: Inaugural Address Corpus
text5: Chat Corpus
text6: Monty Python and the Holy Grail
text7: Wall Street Journal
text8: Personals Corpus
text9: The Man Who Was Thursday by G . K . Chesterton 1908
>>> ... 

The next example let you import books from the sample area and use it:

#function count the word in the Text
>>> print text1.count("white")
191
# function concordance view shows us every occurrence of a given word, together with some context.
>>> print text3.concordance("white")
Displaying 5 of 5 matches:
potted , and every one that had some white in it , and all the brown among the 
 hazel and chesnut tree ; and pilled white strakes in them , and made the white
white strakes in them , and made the white appear which was in the rods . And h
y dream , and , behold , I had three white baskets on my he And in the uppermos
all be red with wine , and his teeth white with milk . Zebulun shall dwell at t
None
#function similar to the name of the text
>>> print text3.similar("white")
None
>>> print text3.similar("got")
named set arrayed bound brought see embraced kissed slew unto curse
built shewed laid digged sent gave offer offered blessed
None
#contexts are shared by two or more words
>>> text3.common_contexts(["white","blue"])
(u'The following word(s) were not found:', u'white blue')
>>> text3.common_contexts(["man","men"])
old_of the_and the_said the_that the_took young_and the_s

This is all for today.

The twilio python module and cloud communications platform .

Let's build apps that communicate with everyone in the world. Voice & Video, Messaging, and Authentication APIs for every application.
First, let's try to install it under Windows 10 operating system:

C:\>cd Python27
C:\Python27>cd Scripts
C:\Python27\Scripts>pip install twilio
Collecting twilio
  Downloading twilio-5.6.0.tar.gz (194kB)
    100% |################################| 194kB 588kB/s
Collecting httplib2>=0.7 (from twilio)
  Downloading httplib2-0.9.2.zip (210kB)
    100% |################################| 215kB 519kB/s
Requirement already satisfied: six in c:\python27\lib\site-packages (from twilio)
Requirement already satisfied: pytz in c:\python27\lib\site-packages (from twilio)
Installing collected packages: httplib2, twilio
  Running setup.py install for httplib2 ... done
  Running setup.py install for twilio ... done
Successfully installed httplib2-0.9.2 twilio-5.6.0

Try some example:

C:\Python27>python.exe
Python 2.7.12 (v2.7.12:d33e0cf91556, Jun 27 2016, 15:19:22) [MSC v.1500 32 bit (Intel)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import twilio
>>> from twilio import *
>>> dir(twilio)
['TwilioException', 'TwilioRestException', 'TwimlException', '__builtins__', '__doc__', '__file__', '__name__', '__package__', '__path__', '__version__', '__version_info__', 'compat', 'exceptions', 'rest', 'sys', 'u', 'version']
>>> dir(twilio.rest)
['TwilioIpMessagingClient', 'TwilioLookupsClient', 'TwilioPricingClient', 'TwilioRestClient', 'TwilioTaskRouterClient', 'TwilioTrunkingClient', '__builtins__', '__doc__', '__file__', '__name__', '__package__', '__path__', '_hush_pyflakes', 'base', 'client', 'exceptions', 'ip_messaging', 'lookups', 'pricing', 'resources', 'set_twilio_proxy', 'task_router', 'trunking']

Under Fedora 25 you can use this command to install this API:

[root@localhost mythcat]# pip2.7 install twilio
Collecting twilio
  Downloading twilio-5.7.0.tar.gz (168kB)
    100% |████████████████████████████████| 174kB 1.8MB/s 
Requirement already satisfied: httplib2>=0.7 in /usr/lib/python2.7/site-packages (from twilio)
Requirement already satisfied: six in /usr/lib/python2.7/site-packages (from twilio)
Requirement already satisfied: pytz in /usr/lib/python2.7/site-packages (from twilio)
Installing collected packages: twilio
  Running setup.py install for twilio ... done
Successfully installed twilio-5.7.0
 

Make an account for Twilio here.
Now about phone Twilio numbers, then programmable phone Twilio numbers are a core part of Twilio’s platform, enabling you to receive SMS, MMS, and phone calls.
You can have some problems with SMS sending by country availability.
And one last example:

# /usr/bin/env python
# Download the twilio-python library from http://twilio.com/docs/libraries
from twilio.rest import Client

# Find these values at https://twilio.com/user/account
account_sid = "AC61b32be301f49f78f0ab3d69c4d335f6"
auth_token = "c8f37b65755900faa4fe7bbe1f948adb"
client = Client(account_sid, auth_token)

message = client.api.account.messages.create(to="+contry_allow_SMS",
                                             from_="++contry_allow_SMS",
                                             body="Hello python this is a twilio sms test")

Blender 3D - ellipsoid.

This is a simple way to use Blender 3D - version 2.78c with python scripting tool to make one ellipsoid.

The ellipsoid may be parameterized in several ways but I used the sin and cos functions:
x = sin(theta) * sin(phi)
y = cos(theta) * sin(phi)
z = cos(phi)
The steps I follow are:

• make points of ellipsoid - CoordsPoints
• define an ellipsoid vectors 
• create a new mesh 
• make rings for faces
• make an ellipsoid
• The verts_mesh and verts_mesh_face are used to make faces
• put all into the Blender 3D scene
  

import bpy
import bmesh
from math import degrees, radians, sin, cos, tan
from mathutils import Vector


class CoordsPoints:
    @property
    def xyz(self):
        theta = self.theta
        phi = self.phi
        x = sin(theta) * sin(phi)
        y = cos(theta) * sin(phi)
        z = cos(phi)
        R = self.R
        return R * Vector((x,y,z))

    def __init__(self, R, theta, phi):
        self.R = R
        self.theta = theta
        self.phi = phi
        #self.xyz = self.point(theta, phi)

    def __repr__(self):
        return "Coords(%.4f, %.4f)" % (degrees(self.theta),
                                               degrees(self.phi))
# define the ellipsoid method.
def ellipsoid(a, b, c):
    def ellipsoid(v):
        x = a * (v.x)
        y = b * (v.y)
        z = c * (v.z)
        return Vector((x, y, z))
    return ellipsoid

# make the ellipsoid bmesh
bm = bmesh.new()

# TODO come up with a nicer way to do this.
rings = [[CoordsPoints(1, radians(theta), radians(phi)) 
                 for theta in range (0, 360, 2)]
                 for phi in range(0, 180, 2)]

h = ellipsoid(1.0, 1.0, 1.5)

verts_mesh = [bm.verts.new(h(p.xyz)) for p in rings[0]]
verts_mesh.append(verts_mesh[0])
for ring in range(1, len(rings)):

    verts_mesh_face = [bm.verts.new(h(p.xyz)) for p in rings[ring]]
    verts_mesh_face.append(verts_mesh_face[0])

    faces = [
        bm.faces.new((
            verts_mesh[i], verts_mesh_face[i],
            verts_mesh_face[i+1], verts_mesh[i+1]
        ))
        for i in range(len(verts_mesh) - 1)
    ]
    verts_mesh = verts_mesh_face

# create mesh link it to scene 
mesh = bpy.data.meshes.new("ellipsoid")
bm.to_mesh(mesh)
obj = bpy.data.objects.new("ellipsoid", mesh)
scene = bpy.context.scene
scene.objects.link(obj)
scene.objects.active = obj
obj.select = True
obj.location = scene.cursor_location

The scapy python module - part 001.

Today I will start with scapy python module.
This is a good python module to deal and interact with network packets.

[root@localhost mythcat]# pip install scapy
Collecting scapy
  Downloading scapy-2.3.3.tgz (1.4MB)
    100% |████████████████████████████████| 1.4MB 904kB/s 
Building wheels for collected packages: scapy
  Running setup.py bdist_wheel for scapy ... done
  Stored in directory: /root/.cache/pip/wheels/bd/cf/...
Installing collected packages: scapy
Successfully installed scapy-2.3.3

The first test is to test is the echo of Layer 3 ICMP.
Use the superuser shell to run this python script:

from scapy.all import *
dstip=raw_input("enter the ip address \n")
icmp=ICMP()
icmp.type=8
icmp.code=0
ip=IP()
ip.dst=dstip
p=sr1(ip/icmp,timeout=5, verbose=0)
if(p):
        print "Layer 3 is up"
else:
        print "Layer 3 status is down"

The next python script will about arp request:

from scapy.all import *
def arp_display(pkt):
    if pkt[ARP].op == 1: 
        return "Request: " + pkt[ARP].psrc + " is asking about " + pkt[ARP].pdst
    if pkt[ARP].op == 2: 
        return "*Response: " + pkt[ARP].hwsrc + " has address " + pkt[ARP].psrc
print sniff(prn=arp_display, filter="arp", store=0, count=10)

This will read the packages from source and destination and show me what ARP traffic my computer is seeing.

How to parse the OPML file.

For example, the Feedly (stylized as Feedly) is a news aggregator application for various web browsers and mobile devices can let you export and import the OPML file.

---

What is XML?
The Extensible Markup Language (XML) is a markup language much like HTML or SGML. This is recommended by the World Wide Web Consortium and available as an open standard.

---

Today I will show you how to parse the OPML file type with python 2.7 version and XML python module.
This is the source script:

from xml.etree import ElementTree
import sys

file_opml = sys.argv[1]
def extract_rss_urls_from_opml(filename):
    urls = []
    with open(filename, 'rt') as f:
        tree = ElementTree.parse(f)
    for node in tree.findall('.//outline'):
        url = node.attrib.get('xmlUrl')
        if url:
            urls.append(url)
    return urls
urls = extract_rss_urls_from_opml(file_opml)
print urls

The result is a list with all your RSS links.

Take weather data with pyowm from openweathermap .

This tutorial shows you how to download and install the pyowm python module.
One of the great things about using this python module let you to provide data from openweathermap website (need to have one account).
PyOWM runs on Python 2.7 and Python 3.2+, and integrates with Django 1.10+ models.
All documentation can be found here.

The install is simple with pip , python 2.7 and Fedora 25.

[root@localhost mythcat]# pip install pyowm
Collecting pyowm
  Downloading pyowm-2.6.1.tar.gz (3.6MB)
    100% |████████████████████████████████| 3.7MB 388kB/s 
Building wheels for collected packages: pyowm
  Running setup.py bdist_wheel for pyowm ... done
  Stored in directory: /root/.cache/pip/wheels/9a/91/17/bb120c765f08df77645cf70a16aa372d5a297f4ae2be749e81
Successfully built pyowm
Installing collected packages: pyowm
Successfully installed pyowm-2.6.1

The source code is very simple just connect with API key and print data.

#/usr/bin/env python
#" -*- coding: utf-8 -*-
import pyowm

print " Have a account to openweathermap.org and use with api key free or pro"
print " owm = pyowm.OWM(API_key='your-API-key', subscription_type='pro')"

owm = pyowm.OWM("327407589df060c7f825b63ec1d9a096")  
forecast = owm.daily_forecast("Falticeni,ro")
tomorrow = pyowm.timeutils.tomorrow()
forecast.will_be_sunny_at(tomorrow)  

observation = owm.weather_at_place('Falticeni,ro')
w = observation.get_weather()
print (w)                     
print " Weather details"
print " =============== "
                                    
print " Get cloud coverage"
print w.get_clouds() 
print " ----------------"                                     
print " Get rain volume"
print w.get_rain() 
print " ----------------"
print " Get snow volume"
print w.get_snow()                                       

print " Get wind degree and speed"
print w.get_wind() 
print " ----------------"                                      
print " Get humidity percentage"
print w.get_humidity()    
print " ----------------"                               
print " Get atmospheric pressure"
print w.get_pressure()                                   
print " ----------------"
print " Get temperature in Kelvin degs"
print w.get_temperature() 
print " ----------------"                              
print " Get temperature in Celsius degs"
print w.get_temperature(unit='celsius')
print " ----------------"                 
print " Get temperature in Fahrenheit degs"
print w.get_temperature('fahrenheit')                    
print " ----------------"
print " Get weather short status"
print w.get_status()                                     
print " ----------------"
print " Get detailed weather status"
print w.get_detailed_status()                           
print " ----------------"
print " Get OWM weather condition code"
print w.get_weather_code()                               
print " ----------------"
print " Get weather-related icon name"
print w.get_weather_icon_name()                          
print " ----------------"
print " Sunrise time (ISO 8601)"
print w.get_sunrise_time('iso')    
print " Sunrise time (GMT UNIXtime)"
print w.get_sunrise_time()                               
print " ----------------"
print " Sunset time (ISO 8601)"
print w.get_sunset_time('iso')  
print " Sunset time (GMT UNIXtime)"
print w.get_sunset_time()                          
print " ----------------"
print " Search current weather observations in the surroundings of"
print " Latitude and longitude coordinates for Fălticeni, Romania:"
observation_list = owm.weather_around_coords(47.46, 26.30)

Let's see and the result of running the python script for one random location:

[root@localhost mythcat]# python openweather.py 
 Have a account to openweathermap.org and use with api key free or pro
 owm = pyowm.OWM(API_key='your-API-key', subscription_type='pro')

 Weather details
 =============== 
 Get cloud coverage
20
 ----------------
 Get rain volume
{}
 ----------------
 Get snow volume
{}
 Get wind degree and speed
{u'speed': 5.7, u'deg': 340}
 ----------------
 Get humidity percentage
82
 ----------------
 Get atmospheric pressure
{'press': 1021, 'sea_level': None}
 ----------------
 Get temperature in Kelvin degs
{'temp_max': 287.15, 'temp_kf': None, 'temp': 287.15, 'temp_min': 287.15}
 ----------------
 Get temperature in Celsius degs
{'temp_max': 14.0, 'temp_kf': None, 'temp': 14.0, 'temp_min': 14.0}
 ----------------
 Get temperature in Fahrenheit degs
{'temp_max': 57.2, 'temp_kf': None, 'temp': 57.2, 'temp_min': 57.2}
 ----------------
 Get weather short status
Clouds
 ----------------
 Get detailed weather status
few clouds
 ----------------
 Get OWM weather condition code
801
 ----------------
 Get weather-related icon name
02d
 ----------------
 Sunrise time (ISO 8601)
2017-03-24 04:08:33+00
 Sunrise time (GMT UNIXtime)
1490328513
 ----------------
 Sunset time (ISO 8601)
2017-03-24 16:33:59+00
 Sunset time (GMT UNIXtime)
1490373239
 ----------------
 Search current weather observations in the surroundings of
 Latitude and longitude coordinates for Fălticeni, Romania:

The tensorflow python module - part 003.

This short tutorial come to fix your work and help you with examples and tutorials.
You can look to the internet and you can search many examples and tutorials but you can get errors.
How to fix that:
The first step is to know what tensorflow version of you use.
[mythcat@localhost ~]$ python -c "import tensorflow; print(tensorflow.__version__)"
1.0.1
Then yo need to know what parts from tensorflow old version is deprecated from the last version.
One superannuated method is to fix old source code with this:

import tensorflow as tf
tf.scalar_summary = tf.summary.scalar
tf.merge_all_summaries = tf.summary.merge_all
tf.train.SummaryWriter = tf.summary.FileWriter

A better method is to fix your source code and read the documentation.

The tensorflow python module - part 002.

Today I will show you how to install tensorflow python module on Windows OS with pip tool.
I used python version 3.5.3.

C:\Python35>cd Scripts

C:\Python35\Scripts>pip3 install --upgrade tensorflow
Collecting tensorflow
  Downloading tensorflow-1.0.1-cp35-cp35m-win_amd64.whl (14.7MB)
    100% |################################| 14.7MB 43kB/s
...
Successfully installed appdirs-1.4.3 numpy-1.12.0 packaging-16.8 
protobuf-3.2.0 pyparsing-2.2.0 setuptools-34.3.2 six-1.10.0 
tensorflow-1.0.1 wheel-0.29.0

Next step is to install the GPU version of TensorFlow:

C:\Python35\Scripts>pip3 install --upgrade tensorflow-gpu
Collecting tensorflow-gpu
  Downloading tensorflow_gpu-1.0.1-cp35-cp35m-win_amd64.whl (43.1MB)
    100% |################################| 43.1MB 11kB/
...
Installing collected packages: tensorflow-gpu
Successfully installed tensorflow-gpu-1.0.1

If you are installing TensorFlow with GPU support then the following NVIDIA software must be installed on your system:

CUDA Toolkit 8.0. , the NVIDIA drivers associated with CUDA Toolkit 8.0 and cuDNN v5.1.
The cuDNN is typically installed in a different location from the other CUDA DLLs.
Now you need to add the directory where you installed the cuDNN DLL to your %PATH% environment variable.
The result will be output under python result when you import this python module, see my output:

 Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GT 740M, pci bus id: 0000:01:00.0)

Strange code in python.

Try this:

>>> 2*2
4
>>> _*2
8
>>> print _*3
24
>>> print _*'a'
aaaaaaaa

The tensorflow python module - part 001.

TensorFlow™ is an open source software library for numerical computation using data flow graphs.
I used Fedora 25 distro and python version 2.7.
The base of this installation was the official website.
Fist step of the installation was the base python module: tensorflow.

[root@localhost build]# pip install tensorflow  
Collecting tensorflow
  Downloading tensorflow-1.0.1-cp27-cp27mu-manylinux1_x86_64.whl (44.1MB)
    100% |████████████████████████████████| 44.1MB 30kB/s 
Collecting mock>=2.0.0 (from tensorflow)
  Downloading mock-2.0.0-py2.py3-none-any.whl (56kB)
    100% |████████████████████████████████| 61kB 341kB/s 
Requirement already satisfied: six>=1.10.0 in /usr/lib/python2.7/site-packages (from tensorflow)
Requirement already satisfied: numpy>=1.11.0 in /usr/lib64/python2.7/site-packages (from tensorflow)
Collecting protobuf>=3.1.0 (from tensorflow)
  Downloading protobuf-3.2.0-cp27-cp27mu-manylinux1_x86_64.whl (5.6MB)
    100% |████████████████████████████████| 5.6MB 172kB/s 
Collecting wheel (from tensorflow)
  Downloading wheel-0.29.0-py2.py3-none-any.whl (66kB)
    100% |████████████████████████████████| 71kB 532kB/s 
Collecting funcsigs>=1; python_version < "3.3" (from mock>=2.0.0->tensorflow)
  Downloading funcsigs-1.0.2-py2.py3-none-any.whl
Collecting pbr>=0.11 (from mock>=2.0.0->tensorflow)
  Downloading pbr-2.0.0-py2.py3-none-any.whl (98kB)
    100% |████████████████████████████████| 102kB 518kB/s 
Requirement already satisfied: setuptools in /usr/lib/python2.7/site-packages (from protobuf>=3.1.0->tensorflow)
Installing collected packages: funcsigs, pbr, mock, protobuf, wheel, tensorflow
Successfully installed funcsigs-1.0.2 mock-2.0.0 pbr-2.0.0 protobuf-3.2.0 tensorflow-1.0.1 wheel-0.29.0

The next step come with the installation of python module gpu: tensorflow-gpu.

[root@localhost build]# pip install --upgrade tensorflow-gpu
Collecting tensorflow-gpu
  Downloading tensorflow_gpu-1.0.1-cp27-cp27mu-manylinux1_x86_64.whl (94.8MB)
    100% |████████████████████████████████| 94.8MB 15kB/s 
Requirement already up-to-date: mock>=2.0.0 in /usr/lib/python2.7/site-packages (from tensorflow-gpu)
Requirement already up-to-date: six>=1.10.0 in /usr/lib/python2.7/site-packages (from tensorflow-gpu)
Collecting numpy>=1.11.0 (from tensorflow-gpu)
  Downloading numpy-1.12.0-cp27-cp27mu-manylinux1_x86_64.whl (16.5MB)
    100% |████████████████████████████████| 16.5MB 83kB/s 
Requirement already up-to-date: protobuf>=3.1.0 in /usr/lib64/python2.7/site-packages (from tensorflow-gpu)
Requirement already up-to-date: wheel in /usr/lib/python2.7/site-packages (from tensorflow-gpu)
Requirement already up-to-date: funcsigs>=1; python_version < "3.3" in /usr/lib/python2.7/site-packages (from mock>=2.0.0->tensorflow-gpu)
Requirement already up-to-date: pbr>=0.11 in /usr/lib/python2.7/site-packages (from mock>=2.0.0->tensorflow-gpu)
Collecting setuptools (from protobuf>=3.1.0->tensorflow-gpu)
  Downloading setuptools-34.3.1-py2.py3-none-any.whl (389kB)
    100% |████████████████████████████████| 399kB 637kB/s 
Collecting appdirs>=1.4.0 (from setuptools->protobuf>=3.1.0->tensorflow-gpu)
  Downloading appdirs-1.4.3-py2.py3-none-any.whl
Collecting packaging>=16.8 (from setuptools->protobuf>=3.1.0->tensorflow-gpu)
  Downloading packaging-16.8-py2.py3-none-any.whl
Collecting pyparsing (from packaging>=16.8->setuptools->protobuf>=3.1.0->tensorflow-gpu)
  Downloading pyparsing-2.2.0-py2.py3-none-any.whl (56kB)
    100% |████████████████████████████████| 61kB 577kB/s 
Installing collected packages: numpy, tensorflow-gpu, appdirs, pyparsing, packaging, setuptools
  Found existing installation: numpy 1.11.2
    Uninstalling numpy-1.11.2:
      Successfully uninstalled numpy-1.11.2
  Found existing installation: setuptools 25.1.1
    Uninstalling setuptools-25.1.1:
      Successfully uninstalled setuptools-25.1.1
Successfully installed appdirs-1.4.3 numpy-1.12.0 packaging-16.8 pyparsing-2.2.0 setuptools-34.3.1 tensorflow-gpu-1.0.1

I got errors when I try to run this python module (libcudart.so.8.0).
I have a Intel I5 CPU with a video card without CUDA features.

    _mod = imp.load_module('_pywrap_tensorflow', fp, pathname, description)
ImportError: libcudart.so.8.0: cannot open shared object file: No such file or directory


Failed to load the native TensorFlow runtime.

See https://github.com/tensorflow/tensorflow/blob/master/tensorflow/g3doc/get_started/os_setup.md#import_error

for some common reasons and solutions.  Include the entire stack trace
above this error message when asking for help.

So I used this command to fix with the pip upgrade:

[root@localhost ~]# export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc0-cp27-none-linux_x86_64.whl
[root@localhost ~]# pip install --upgrade $TF_BINARY_URL
Collecting tensorflow==0.11.0rc0 from https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc0-cp27-none-linux_x86_64.whl
  Downloading https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0rc0-cp27-none-linux_x86_64.whl (39.7MB)
    100% |████████████████████████████████| 39.8MB 37kB/s 
Requirement already up-to-date: mock>=2.0.0 in /usr/lib/python2.7/site-packages (from tensorflow==0.11.0rc0)
Requirement already up-to-date: six>=1.10.0 in /usr/lib/python2.7/site-packages (from tensorflow==0.11.0rc0)
Requirement already up-to-date: numpy>=1.11.0 in /usr/lib64/python2.7/site-packages (from tensorflow==0.11.0rc0)
Collecting protobuf==3.0.0 (from tensorflow==0.11.0rc0)
  Downloading protobuf-3.0.0-cp27-cp27mu-manylinux1_x86_64.whl (5.2MB)
    100% |████████████████████████████████| 5.2MB 206kB/s 
Requirement already up-to-date: wheel in /usr/lib/python2.7/site-packages (from tensorflow==0.11.0rc0)
Requirement already up-to-date: funcsigs>=1; python_version < "3.3" in /usr/lib/python2.7/site-packages (from mock>=2.0.0->tensorflow==0.11.0rc0)
Requirement already up-to-date: pbr>=0.11 in /usr/lib/python2.7/site-packages (from mock>=2.0.0->tensorflow==0.11.0rc0)
Requirement already up-to-date: setuptools in /usr/lib/python2.7/site-packages (from protobuf==3.0.0->tensorflow==0.11.0rc0)
Requirement already up-to-date: appdirs>=1.4.0 in /usr/lib/python2.7/site-packages (from setuptools->protobuf==3.0.0->tensorflow==0.11.0rc0)
Requirement already up-to-date: packaging>=16.8 in /usr/lib/python2.7/site-packages (from setuptools->protobuf==3.0.0->tensorflow==0.11.0rc0)
Requirement already up-to-date: pyparsing in /usr/lib/python2.7/site-packages (from packaging>=16.8->setuptools->protobuf==3.0.0->tensorflow==0.11.0rc0)
Installing collected packages: protobuf, tensorflow
  Found existing installation: protobuf 3.2.0
    Uninstalling protobuf-3.2.0:
      Successfully uninstalled protobuf-3.2.0
  Found existing installation: tensorflow 1.0.1
    Uninstalling tensorflow-1.0.1:
      Successfully uninstalled tensorflow-1.0.1
Successfully installed protobuf-3.0.0 tensorflow-0.11.0rc0

The basic the python tensorflow works, so I need to test.

import tensorflow as tf
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))

Hello, TensorFlow!

The pattern python module - part 001.

This is a very short presentation of pattern python module.
This python module is full of options and features.
I will try to show you some parts useful for most python users.
About pattern python module:
Pattern is a web mining module for the Python programming language.
It has tools for data mining (Google, Twitter and Wikipedia API, a web crawler, a HTML DOM parser), natural language processing (part-of-speech taggers, n-gram search, sentiment analysis, WordNet), machine learning (vector space model, clustering, SVM), network analysis and visualization.
Pattern developer documentation

Module	Functionality
pattern.web	Asynchronous requests, web services, web crawler, HTML DOM parser.
pattern.db	Wrappers for databases (MySQL, SQLite) and CSV-files.
pattern.text	Base classes for parsers, parse trees and sentiment analysis.
pattern.search	Pattern matching algorithm for parsed text (syntax & semantics).
pattern.vector	Vector space model, clustering, classification.
pattern.graph	Graph analysis & visualization.

I used with Fedora linux and you can see the instalation of this python module:

[root@localhost ~]# pip install pattern
Collecting pattern
  Downloading pattern-2.6.zip (24.6MB)
    100% |████████████████████████████████| 24.6MB 61kB/s 
Installing collected packages: pattern
  Running setup.py install for pattern ... done
Successfully installed pattern-2.6

Frequently used single character variable names:

Variable	Meaning	Example
a	array, all	a = [normalize(w) for w in words]
b	boolean	while b is False:
d	distance, document	d = distance(v1, v2)
e	element	e = html.find('#nav')
f	file, filter, function	f = open('data.csv', 'r')
i	index	for i in range(len(matrix)):
j	index	for j in range(len(matrix[i])):
k	key	for k in vector.keys():
n	list length	n = len(a)
p	parser, pattern	p = pattern.search.compile('NN')
q	query	for r in twitter.search(q):
r	result, row	for r in csv('data.csv):
s	string	s = s.decode('utf-8').strip()
t	time	t = time.time() - t0
v	value, vector	for k, v in vector.items():
w	word	for i, w in enumerate(sentence.words):
x	horizontal position	node.x = 0
y	vertical position	node.y = 0

Pattern contains part-of-speech taggers for a number of languages (including English, Spanish, German, French and Dutch). Part-of-speech tagging is useful in many data mining tasks. A part-of-speech tagger takes a string of text and identifies the sentences and the words in the text along with their word type. 

Language	Code	Speakers	Example countries
Spanish	es	350M	Argentina (40), Colombia (40), Mexico (100), Spain (45)
English	en	340M	Canada (30), United Kingdom (60), United States (300)
German	de	100M	Austria (10), Germany (80), Switzerland (7)
French	fr	70M	France (65), Côte d'Ivoire (20)
Italian	it	60M	Italy (60)
Dutch	nl	27M	The Netherlands (25), Belgium (6), Suriname (1)

import pattern.en  
import pattern.es
import pattern.du  
import pattern.de

You can deal with many websites, see examples:

from pattern.web import Wikipedia
from pattern.web import Yahoo
from pattern.web import Twitter
from pattern.web import Facebook
from pattern.web import Flickr
from pattern.web import GMAIL
from pattern.web import GOOGLE

Now, about pattern.db.
The pattern.db module contains wrappers for databases (SQLite, MySQL), Unicode CSV files and Python's datetime. It offers a convenient way to work with tabular data, for example retrieved with the pattern.web module.

import pattern 
from pattern.db import Database, field, pk, STRING, BOOLEAN, DATE, NOW 
db = Database('people')
db.create('area_people',fields=(
pk(),
field('name', STRING(80), index=True),
field('type', STRING(20)),
field('date_birth', DATE, default=None),
field('date_created', DATE, default=NOW)
))
db.area_people.append(name=u'George', type='male')
1
print db.area_people.rows()[0]
(1, u'George', u'male', None, Date('2017-03-06 22:38:13'))

Working with datetime python module.

This module is very good and I worked with this issue by using MySQL and python.
The version of python I used is 2.7 under Fedora distro.
You can take a look at the official page.
I use the pip and not the DNF fedora Linux tool.

[root@localhost lucru]# pip install datetime
Collecting datetime
Downloading DateTime-4.1.1.zip (66kB)
100% |████████████████████████████████| 71kB 703kB/s 
Collecting zope.interface (from datetime)
Downloading zope.interface-4.3.3.tar.gz (150kB)
100% |████████████████████████████████| 153kB 2.2MB/s 
Collecting pytz (from datetime)
Downloading pytz-2016.10-py2.py3-none-any.whl (483kB)
100% |████████████████████████████████| 491kB 2.4MB/s 
Requirement already satisfied: setuptools in /usr/lib/python2.7/site-packages (from zope.interface->datetime)
Installing collected packages: zope.interface, pytz, datetime
Running setup.py install for zope.interface ... done
Running setup.py install for datetime ... done
Successfully installed datetime-4.1.1 pytz-2016.10 zope.interface-4.3.3

I solve this problem:

• conversion using the lambda function
  

  parser.add_argument('date', type=lambda s: datetime.datetime.strptime(s, '%Y-%m-%d'))

• solve last day
  

  datetime.datetime.strptime(new_value, '%Y-%m-%d %H:%M:%S')-timedelta(days=1)

• print the today date
  

  print date.today()

• show date using an explicit format string
  

  today=date.today()
  today.strftime("%A %d. %B %Y")
  'Sunday 05. March 2017'
  

• using epoch issue [1]
  

  from datetime import datetime
  now_epoch = (datetime.utcnow() - datetime(1970, 1, 1)).total_seconds()
  datetime.utcfromtimestamp(now_epoch)
  datetime.datetime(2017, 3, 4, 22, 35, 13, 463409)
  datetime.fromtimestamp(now_epoch)
  datetime.datetime(2017, 3, 5, 0, 35, 13, 463409)
  import pytz
  datetime.fromtimestamp(now_epoch, pytz.utc)
  datetime.datetime(2017, 3, 4, 22, 35, 13, 463409, tzinfo=)
  

[1] The Unix epoch is the time 00:00:00 UTC on 1 January 1970. There is a problem with this definition, in that UTC did not exist in its current form until 1972;

Using pygeoip and maxmin database.

I try to locate one IP using the databases from maxmind website and is not good for me.
The database records show me the output from country area.
I read the docs from here.
This is the python script I used:

#wget -N -q http://geolite.maxmind.com/download/geoip/database/GeoLiteCity.dat.gz
import pygeoip 
gip = pygeoip.GeoIP('GeoLiteCity.dat')
rec = gip.record_by_addr('___________________')
for key,val in rec.items():
    print "%s: %s" %(key,val)

Linux: OpenCV and using Lucas-Kanade Optical Flow function.

Fist I install OpenCV python module and I try using with Fedora 25.
I used python 2.7 version.

[root@localhost mythcat]# dnf install opencv-python.x86_64 
Last metadata expiration check: 0:21:12 ago on Sat Feb 25 23:26:59 2017.
Dependencies resolved.
================================================================================
 Package              Arch          Version                Repository      Size
================================================================================
Installing:
 opencv               x86_64        3.1.0-8.fc25           fedora         1.8 M
 opencv-python        x86_64        3.1.0-8.fc25           fedora         376 k
 python2-nose         noarch        1.3.7-11.fc25          updates        266 k
 python2-numpy        x86_64        1:1.11.2-1.fc25        fedora         3.2 M

Transaction Summary
================================================================================
Install  4 Packages

Total download size: 5.6 M
Installed size: 29 M
Is this ok [y/N]: y
Downloading Packages:
(1/4): opencv-python-3.1.0-8.fc25.x86_64.rpm    855 kB/s | 376 kB     00:00    
(2/4): opencv-3.1.0-8.fc25.x86_64.rpm           1.9 MB/s | 1.8 MB     00:00    
(3/4): python2-nose-1.3.7-11.fc25.noarch.rpm    543 kB/s | 266 kB     00:00    
(4/4): python2-numpy-1.11.2-1.fc25.x86_64.rpm   2.8 MB/s | 3.2 MB     00:01    
--------------------------------------------------------------------------------
Total                                           1.8 MB/s | 5.6 MB     00:03     
Running transaction check
Transaction check succeeded.
Running transaction test
Transaction test succeeded.
Running transaction
  Installing  : python2-nose-1.3.7-11.fc25.noarch                           1/4 
  Installing  : python2-numpy-1:1.11.2-1.fc25.x86_64                        2/4 
  Installing  : opencv-3.1.0-8.fc25.x86_64                                  3/4 
  Installing  : opencv-python-3.1.0-8.fc25.x86_64                           4/4 
  Verifying   : opencv-python-3.1.0-8.fc25.x86_64                           1/4 
  Verifying   : opencv-3.1.0-8.fc25.x86_64                                  2/4 
  Verifying   : python2-numpy-1:1.11.2-1.fc25.x86_64                        3/4 
  Verifying   : python2-nose-1.3.7-11.fc25.noarch                           4/4 

Installed:
  opencv.x86_64 3.1.0-8.fc25            opencv-python.x86_64 3.1.0-8.fc25       
  python2-nose.noarch 1.3.7-11.fc25     python2-numpy.x86_64 1:1.11.2-1.fc25    

Complete!
[root@localhost mythcat]# 

This is my test script with opencv to detect flow using Lucas-Kanade Optical Flow function.
This tracks some points in a black and white video.
First you need:
- one black and white video;
- not mp4 file type file;
- the color args need to be under 4 ( see is 3);
- I used this video:
I used cv2.goodFeaturesToTrack().
We take the first frame, detect some Shi-Tomasi corner points in it, then we iteratively track those points using Lucas-Kanade optical flow.
The function cv2.calcOpticalFlowPyrLK() we pass the previous frame, previous points and next frame.
The returns next points along with some status numbers which has a value of 1 if next point is found, else zero.
That iteratively pass these next points as previous points in next step.
See the code below:

import numpy as np
import cv2

cap = cv2.VideoCapture('candle')

# params for ShiTomasi corner detection
feature_params = dict( maxCorners = 77,
                       qualityLevel = 0.3,
                       minDistance = 7,
                       blockSize = 7 )

# Parameters for lucas kanade optical flow
lk_params = dict( winSize  = (17,17),
                  maxLevel = 1,
                  criteria = (cv2.TERM_CRITERIA_EPS | cv2.TERM_CRITERIA_COUNT, 10, 0.03))

# Create some random colors
color = np.random.randint(0,255,(100,3))

# Take first frame and find corners in it
ret, old_frame = cap.read()
old_gray = cv2.cvtColor(old_frame, cv2.COLOR_BGR2GRAY)
p0 = cv2.goodFeaturesToTrack(old_gray, mask = None, **feature_params)

# Create a mask image for drawing purposes
mask = np.zeros_like(old_frame)

while(1):
    ret,frame = cap.read()
    frame_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    # calculate optical flow
    p1, st, err = cv2.calcOpticalFlowPyrLK(old_gray, frame_gray, p0, None, **lk_params)

    # Select good points
    good_new = p1[st==1]
    good_old = p0[st==1]

    # draw the tracks
    for i,(new,old) in enumerate(zip(good_new,good_old)):
        a,b = new.ravel()
        c,d = old.ravel()
        mask = cv2.line(mask, (a,b),(c,d), color[i].tolist(), 2)
        frame = cv2.circle(frame,(a,b),5,color[i].tolist(),-1)
    img = cv2.add(frame,mask)

    cv2.imshow('frame',img)
    k = cv2.waitKey(30) & 0xff
    if k == 27:
        break

    # Now update the previous frame and previous points
    old_gray = frame_gray.copy()
    p0 = good_new.reshape(-1,1,2)

cv2.destroyAllWindows()
cap.release()

The output of this file is:

The bad and good urllib.

This is a simple python script:

import urllib
opener = urllib.FancyURLopener({})
f = opener.open("http://www.ra___aer.ro/")
d=f.read()
fo = open('workfile.txt', 'w')
fo.write(d)
fo.close()

The really bad news comes from here:
http://blog.blindspotsecurity.com/2017/02/advisory-javapython-ftp-injections.html

The twill python module with Fedora 25.

Today I tested the twill python module with python 2.7 and Fedora 25.
This is: a scripting system for automating Web browsing. Useful for testing Web pages or grabbing data from password-protected sites automatically.
To install this python module I used pip command:
[root@localhost mythcat]# pip install twill
Collecting twill
Downloading twill-1.8.0.tar.gz (176kB)
100% |████████████████████████████████| 184kB 2.5MB/s
Installing collected packages: twill
Running setup.py install for twill ... done
Successfully installed twill-1.8.0

Let's try some tests:

[mythcat@localhost ~]$ python
Python 2.7.13 (default, Jan 12 2017, 17:59:37) 
[GCC 6.3.1 20161221 (Red Hat 6.3.1-1)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> from twill import get_browser
>>> b = get_browser()
>>> 
>>> from twill.commands import *
>>> go("http://www.python.org/")
==> at https://www.python.org/
u'https://www.python.org/'
>>> b.showforms()

Form #1
## ## __Name__________________ __Type___ __ID________ __Value__________________
1     q                        search    id-searc ...   

To talk to the Web browser directly, call the get_browser function.
You can see most of the twill commands by using:

>>> import twill.shell
>>> twill.shell.main()

 -= Welcome to twill! =-

current page: https://www.python.org/widgets
>> ?

Undocumented commands:
======================
add_auth             fa           info             save_html           title
add_extra_header     find         load_cookies     setglobal           url  
agent                follow       notfind          setlocal          
back                 formaction   redirect_error   show              
clear_cookies        formclear    redirect_output  show_cookies      
clear_extra_headers  formfile     reload           show_extra_headers
code                 formvalue    reset_browser    showforms         
config               fv           reset_error      showhistory       
debug                get_browser  reset_output     showlinks         
echo                 getinput     run              sleep             
exit                 getpassword  runfile          submit            
extend_with          go           save_cookies     tidy_ok           

current page: https://www.python.org/widgets
>> 

Basic is used by setlocal to fill website forms and the go function.
Ban can be very good for some tasks.
The twill python module also provides a simple wrapper for mechanizing functionality with the API is still unstable.

Compare two images: the histogram method.

This is a very simple example about how to compare the histograms of both images and print the inconsistencies are bound to arise.
The example come with alternative solution: Histogram method.
The script was run under Fedora 25.
If the images are the same the result will be 0.0.
For testing I change the image2.png by make a line into this with a coverage of 10%.
The result of the script was:
1116.63243729
The images come with this dimensions: 738 x 502 px.

import math
import operator
from math import *
import PIL

from PIL import Image
h1 = Image.open("image1.png").histogram()
h2 = Image.open("image2.png").histogram()

rms = math.sqrt(reduce(operator.add,
        map(lambda a,b: (a-b)**2, h1, h2))/len(h1))
print rms

About the operator module exports a set of efficient functions corresponding to the intrinsic operators of Python.
Example:
operator.lt(a, b)
operator.le(a, b)
operator.eq(a, b)
operator.ne(a, b)
operator.ge(a, b)
operator.gt(a, b)
operator.__lt__(a, b)
operator.__le__(a, b)
operator.__eq__(a, b)
operator.__ne__(a, b)
operator.__ge__(a, b)
operator.__gt__(a, b)
This is like math operators:
lt(a, b) is equivalent to a < b
le(a, b) is equivalent to a <= b
Another example:
>>> # Elementwise multiplication
>>> map(mul, [0, 1, 2, 3], [10, 20, 30, 40])
[0, 20, 60, 120]

>>> # Dot product
>>> sum(map(mul, [0, 1, 2, 3], [10, 20, 30, 40]))
200


The kivy pyhon module for android.

First you need to install kivy python module.
The kivy python module
C:\>cd Python27

C:\Python27>cd Scripts

C:\Python27\Scripts>pip install kivy
Collecting kivy
Downloading Kivy-1.9.1-cp27-none-win32.whl (7.4MB)
100% |################################| 7.4MB 50kB/s
Collecting Kivy-Garden>=0.1.4 (from kivy)
Downloading kivy-garden-0.1.4.tar.gz
Requirement already satisfied: requests in c:\python27\lib\site-packages (from Kivy-Garden>=0.1.4->kivy)
Installing collected packages: Kivy-Garden, kivy
Running setup.py install for Kivy-Garden ... done
Successfully installed Kivy-Garden-0.1.4 kivy-1.9.1

Use this to add new pthon modules:
python -m pip install --upgrade docutils pygments pypiwin32 kivy.deps.sdl2 kivy.deps.glew kivy.deps.gstreamer --extra-index-url https://kivy.org/downloads/packages/simple/
If the python kivy.deps.gstreamer don't working then is not problem will try without this python module.
To see outdated python modules , use this commnds:
python -m pip install --upgrade pip wheel setuptools
pip list outdated
Let's upgrade all of python modules with this:
pip freeze > requirements.txt && pip install --upgrade -r requirements.txt && del requirements.txt
Another way to install this python module can be found here.
The demo can be star with this comman line:
C:\Python27>python share\kivy-examples\demo\showcase\main.py
You can also test one simple python script:
from kivy.app import App
from kivy.uix.button import Button

class TestApp(App):
def build(self):
return Button(text='Hello World')

TestApp().run()
To use with android operating system then test Buildozer.
This tool supports packaging for Android via the python-for-android project, and for iOS via the kivy-ios project. Support for other operating systems is intended in the future.

The python arch module for financial econometrics.

This python module arch: is a work-in-progress for ARCH and other tools for financial econometrics, written in Python (and Cython).
The arch python module come with tools for:

•    Univariate volatility models

•    Bootstrapping

•    Multiple comparison procedures

•    Unit root tests

You can read and see many examples here.
Let's start with instalation into my python 2.7.12 version.
First you need to install this python module with pip tool:
C:\Python27\Scripts>pip install Arch
Collecting Arch
Downloading arch-4.0.tar.gz (107kB)
100% |################################| 112kB 390kB/s
Requirement already satisfied: matplotlib>=1.4 in c:\python27\lib\site-packages (from Arch)
Requirement already satisfied: scipy>=0.15 in c:\python27\lib\site-packages (from Arch)
Collecting patsy>=0.2 (from Arch)
Downloading patsy-0.4.1-py2.py3-none-any.whl (233kB)
100% |################################| 235kB 906kB/s
Collecting statsmodels>=0.6 (from Arch)
Downloading statsmodels-0.6.1.tar.gz (7.0MB)
100% |################################| 7.0MB 85kB/s
Collecting pandas>=0.16 (from Arch)
Downloading pandas-0.19.2-cp27-cp27m-win32.whl (6.8MB)
100% |################################| 6.8MB 81kB/s
Requirement already satisfied: numpy>=1.6 in c:\python27\lib\site-packages (from matplotlib>=1.4->Arch)
Requirement already satisfied: python-dateutil in c:\python27\lib\site-packages (from matplotlib>=1.4->Arch)
Requirement already satisfied: cycler in c:\python27\lib\site-packages (from matplotlib>=1.4->Arch)
Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,>=1.5.6 in c:\python27\lib\site-packages (from matplotlib>=1.4->Arch)
Requirement already satisfied: pytz in c:\python27\lib\site-packages (from matplotlib>=1.4->Arch)
Requirement already satisfied: six in c:\python27\lib\site-packages (from patsy>=0.2->Arch)
Installing collected packages: patsy, pandas, statsmodels, Arch
Running setup.py install for statsmodels ... done
Running setup.py install for Arch ... done
Successfully installed Arch-4.0 pandas-0.19.2 patsy-0.4.1 statsmodels-0.6.1
This python module is very mathematical and technical so I'll refer you to a few examples.
Can be used in statistical research and econometrics, or the application of mathematics, statistics, and computer science to economic data. 

NVIDIA python module Theano.

I try to use python module Theano.
First I install this python module.
C:\WINDOWS\system32>cd C:\Python27

C:\Python27>cd Scripts

C:\Python27\Scripts>pip install Theano
Collecting Theano
Using cached Theano-0.8.2.tar.gz
Requirement already satisfied: numpy>=1.7.1 in c:\python27\lib\site-packages (from Theano)
Requirement already satisfied: scipy>=0.11 in c:\python27\lib\site-packages (from Theano)
Requirement already satisfied: six>=1.9.0 in c:\python27\lib\site-packages (from Theano)
Installing collected packages: Theano
Running setup.py install for Theano ... done
Successfully installed Theano-0.8.2

When I try to used I got this error:
import theano
WARNING (theano.configdefaults): g++ not detected ! Theano will be unable to execute optimized C-implementations (for both CPU and GPU) and will default to Python implementations. Performance will be severely degraded. To remove this warning, set Theano flags cxx to an empty string.
I try to fix that error, but I don't find any solution.
This python module work. I tested with examples from NVIDIA, see:

Use the twitter python module - part 002.

Using the twitter python module named python-twitter you can search twitter query into the local area.
The default tutorial is here.
The source code to change is that line:
results = api.GetSearch(raw_query="q=from%3Asomething"
with:
results = api.GetSearch(raw_query="q=&geocode=lat,long,10km")
Also, you need to put your lat and long and the area sized.
The good point of this you will be able to spell time with twitter posts.

Use the twitter python module - part 001.

About this python module python-twitter you can read here.

C:\>cd Python27
C:\Python27>cd Scripts
C:\Python27\Scripts>pip install python-twitter
Collecting python-twitter
Downloading python_twitter-3.2-py2-none-any.whl (71kB)
100% |################################| 81kB 292kB/s
Requirement already satisfied: requests in c:\python27\lib\site-packages (from python-twitter)
Requirement already satisfied: requests-oauthlib in c:\python27\lib\site-packages (from python-twitter)
Collecting future (from python-twitter)
Downloading future-0.16.0.tar.gz (824kB)
100% |################################| 829kB 485kB/s
Requirement already satisfied: oauthlib>=0.6.2 in c:\python27\lib\site-packages
(from requests-oauthlib->python-twitter)
Installing collected packages: future, python-twitter
Running setup.py install for future ... done
Successfully installed future-0.16.0 python-twitter-3.2

Let's see one simple example with one authentication key and token and one query:

import os
import json
import twitter
from twitter import *
CONSUMER_KEY=""
CONSUMER_SECRET=""

ACCESS_TOKEN=""
ACCESS_TOKEN_SECRET=""

api = Api(CONSUMER_KEY,
          CONSUMER_SECRET,
          ACCESS_TOKEN,
          ACCESS_TOKEN_SECRET)
def main():
    with open('output.txt', 'a') as f:
        for line in api.GetStreamFilter(track='something', languages=LANGUAGES):
            print line
    results = api.GetSearch(raw_query="q=from%3Asomething")
    print results
if __name__ == '__main__':
    main()

Use the tweepy to deal with twitter api - part 001.

I will show you how to install the python module named tweepy  and how to make authentication into twitter webpage.
This will install the tweepy python module.
C:\>cd Python27
C:\Python27>cd Scripts
C:\Python27\Scripts>pip install tweepy
Collecting tweepy
Downloading tweepy-3.5.0-py2.py3-none-any.whl
Collecting requests>=2.4.3 (from tweepy)
Downloading requests-2.12.3-py2.py3-none-any.whl (575kB)
100% |################################| 583kB 556kB/s
Collecting requests-oauthlib>=0.4.1 (from tweepy)
Downloading requests_oauthlib-0.7.0-py2.py3-none-any.whl
Requirement already satisfied: six>=1.7.3 in c:\python27\lib\site-packages (from
tweepy)
Collecting oauthlib>=0.6.2 (from requests-oauthlib>=0.4.1->tweepy)
Downloading oauthlib-2.0.1.tar.gz (122kB)
100% |################################| 133kB 506kB/s
Installing collected packages: requests, oauthlib, requests-oauthlib, tweepy
Running setup.py install for oauthlib ... done
Successfully installed oauthlib-2.0.1 requests-2.12.3 requests-oauthlib-0.7.0 tweepy-3.5.0
To deal with twitter api then you need to create a new application into this webpage.
This webpage will give for authentication your date to connect to twitter:
Application Settings
consumer_key=""
consumer_secret=""
Your Access Token
access_token=""
access_token_secret=""
Let's start with a simple example, by using your application settings and access token:
import tweepy
from tweepy.streaming import StreamListener
from tweepy import OAuthHandler
from tweepy import Stream

consumer_key=""
consumer_secret=""

access_token=""
access_token_secret=""

auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)

api = tweepy.API(auth)

print(api.me().name)

class StdOutListener(StreamListener):
""" A listener handles tweets that are received from the stream.
This is a basic listener that just prints received tweets to stdout.
"""
def on_data(self, data):
print(data)
return True

def on_error(self, status):
print(status)

if __name__ == '__main__':
lista = StdOutListener()
auth = OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)

stream = Stream(auth, lista)
stream.filter(track=['internet'])

Using python shell to run this script will show all about 'internet'.
The output will come into raw format.
Let's try another example to update your status with this message:
I using OAuth authentication via Tweepy!
Just add this into my code before class definition:
api.update_status(status='I using OAuth authentication via Tweepy!')
You can rad more about streaming by reading this docs.
For example, I used track from here.

The morse python module with pip installation versus precompiled archive wheel.

Today I try to deal with morse python module and it took me a while to install python modules because of their dependencies.
I started with the pip install of morse module but I got dependency errors in python modules
Because I try to fix this issue the result of this tutorial is more about how to install some python module: matplotlib, scipy, numpy, mkl and morse.
The all installation process will help you to understand how can be fix some pip installation versus precompiled archive wheel.
C:\Python27\Scripts>pip install matplotlib
Collecting matplotlib
  Downloading matplotlib-1.5.3-cp27-cp27m-win32.whl (6.0MB)
    100% |################################| 6.0MB 98kB/s
Requirement already satisfied: numpy>=1.6 in c:\python27\lib\site-packages (from
 matplotlib)
Collecting python-dateutil (from matplotlib)
  Downloading python_dateutil-2.6.0-py2.py3-none-any.whl (194kB)
    100% |################################| 194kB 1.4MB/s
Collecting cycler (from matplotlib)
  Downloading cycler-0.10.0-py2.py3-none-any.whl
Collecting pyparsing!=2.0.4,!=2.1.2,>=1.5.6 (from matplotlib)
  Downloading pyparsing-2.1.10-py2.py3-none-any.whl (56kB)
    100% |################################| 61kB 2.0MB/s
Collecting pytz (from matplotlib)
  Downloading pytz-2016.10-py2.py3-none-any.whl (483kB)
    100% |################################| 491kB 656kB/s
Collecting six>=1.5 (from python-dateutil->matplotlib)
  Downloading six-1.10.0-py2.py3-none-any.whl
Installing collected packages: six, python-dateutil, cycler, pyparsing, pytz, ma
tplotlib
Successfully installed cycler-0.10.0 matplotlib-1.5.3 pyparsing-2.1.10 python-da
teutil-2.6.0 pytz-2016.10 six-1.10.0
Download SciPy wheel file from here.
Install this file with:
C:\Python27\Scripts>pip install scipy-0.18.1-cp27-cp27m-win32.whl
Processing c:\python27\scripts\scipy-0.18.1-cp27-cp27m-win32.whl
Installing collected packages: scipy
Successfully installed scipy-0.18.1
Now you can install morse pyhon module.
pip install morse
If you installed the numpy by pip, but the scipy was installed by precompiled archive then expects numpy+mkl.
So to fix that issue, I download the numpy-1.12.0b1+mkl-cp27-cp27m-win32.whl file and install this with pip:
C:\Python27\Scripts>pip install "numpy-1.12.0b1+mkl-cp27-cp27m-win32.whl"
Processing c:\python27\scripts\numpy-1.12.0b1+mkl-cp27-cp27m-win32.whl
Installing collected packages: numpy
Found existing installation: numpy 1.11.2
Uninstalling numpy-1.11.2:
Successfully uninstalled numpy-1.11.2
Successfully installed numpy-1.12.0b1+mkl
Let's test the morse python module.
C:\Python27>python
Python 2.7.12 (v2.7.12:d33e0cf91556, Jun 27 2016, 15:19:22) [MSC v.1500 32 bit (
Intel)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import morse
>>> dir(morse)
['__builtins__', '__doc__', '__file__', '__name__', '__package__', 'lookup', 'st
ring_to_morse']
>>> dir(morse.lookup)
['__class__', '__cmp__', '__contains__', '__delattr__', '__delitem__', '__doc__'
, '__eq__', '__format__', '__ge__', '__getattribute__', '__getitem__', '__gt__',
'__hash__', '__init__', '__iter__', '__le__', '__len__', '__lt__', '__ne__', '_
_new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__setitem__'
, '__sizeof__', '__str__', '__subclasshook__', 'clear', 'copy', 'fromkeys', 'get
', 'has_key', 'items', 'iteritems', 'iterkeys', 'itervalues', 'keys', 'pop', 'po
pitem', 'setdefault', 'update', 'values', 'viewitems', 'viewkeys', 'viewvalues']
>>> print morse.lookup.keys()
['"', '$', '&', '(', ',', '.', '0', '2', '4', '6', '8', ':', '@', 'B', 'D', 'F',
'H', 'J', 'L', 'N', 'P', 'R', 'T', 'V', 'X', 'Z', '!', "'", ')', '+', '-', '/',
'1', '3', '5', '7', '9', ';', '=', '?', 'A', 'C', 'E', 'G', 'I', 'K', 'M', 'O',
'Q', 'S', 'U', 'W', 'Y', '_']
>>> print morse.lookup.items()
[('"', '.-..-.'), ('$', '...-..-'), ('&', '.-...'), ('(', '-.--.'), (',', '--..-
-'), ('.', '.-.-.-'), ('0', '-----'), ('2', '..---'), ('4', '....-'), ('6', '-..
..'), ('8', '---..'), (':', '---...'), ('@', '.--.-.'), ('B', '-...'), ('D', '-.
.'), ('F', '..-.'), ('H', '....'), ('J', '.---'), ('L', '.-..'), ('N', '-.'), ('
P', '.--.'), ('R', '.-.'), ('T', '-'), ('V', '...-'), ('X', '-..-'), ('Z', '--..
'), ('!', '-.-.--'), ("'", '.----.'), (')', '-.--.-'), ('+', '.-.-.'), ('-', '-.
...-'), ('/', '-..-.'), ('1', '.----'), ('3', '...--'), ('5', '.....'), ('7', '-
-...'), ('9', '----.'), (';', '-.-.-.'), ('=', '-...-'), ('?', '..--..'), ('A',
'.-'), ('C', '-.-.'), ('E', '.'), ('G', '--.'), ('I', '..'), ('K', '-.-'), ('M',
'--'), ('O', '---'), ('Q', '--.-'), ('S', '...'), ('U', '..-'), ('W', '.--'), (
'Y', '-.--'), ('_', '..--.-')]
You can see the python morse module is working well.

LibreOffice and python scripts.

I try to deal with python scripts under LibreOffice applications.
The full tutorial can be found here: Python and LibreOffice – part 001.
I will come with new tutorials about LibreOffice and python.