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!