Use IMDB website with IMDbPY python module .

This python package is written in pure Python 3 to access the IMDb's database and used it.

You can read about this python module from GitHub docs webpage
The development team comes with this DISCLAIMER:
# DISCLAIMER

IMDbPY and the authors are not affiliated with Internet Movie Database Inc.

IMDb is a trademark of Internet Movie Database Inc. and all contents
and data included on the IMDb's site is the property of IMDb or its
content suppliers and protected by United States and international
copyright laws.

Please, read the IMDb's conditions of use in their website:
- http://www.imdb.com/conditions
- http://www.imdb.com/licensing
- any other notice in the http://www.imdb.com/ site.
First I start the install process with the pip tool:

C:\Python364\Scripts>pip install IMDbPY
Requirement already satisfied: IMDbPY in c:\python364\lib\site-packages
Requirement already satisfied: lxml in c:\python364\lib\site-packages (from IMDbPY)
Requirement already satisfied: sqlalchemy-migrate in c:\python364\lib\site-packages (from IMDbPY)
Requirement already satisfied: SQLAlchemy in c:\python364\lib\site-packages (from IMDbPY)
Requirement already satisfied: pbr>=1.8 in c:\python364\lib\site-packages (from sqlalchemy-migrate->IMDbPY)
Requirement already satisfied: decorator in c:\python364\lib\site-packages (from sqlalchemy-migrate->IMDbPY)
Requirement already satisfied: six>=1.7.0 in c:\python364\lib\site-packages (from sqlalchemy-migrate->IMDbPY)
Requirement already satisfied: sqlparse in c:\python364\lib\site-packages (from sqlalchemy-migrate->IMDbPY)
Requirement already satisfied: Tempita>=0.4 in c:\python364\lib\site-packages (from sqlalchemy-migrate->IMDbPY)

This is my source code to test it and working well.

# start with IMDb python class
from imdb import IMDb
imd = IMDb('http')
print("-===-")
# search movies by title
# and show the long imdb canonical title and movieID of the results.
title = imd.search_movie("Under the Dome")
for item in title:
   print(item['long imdb canonical title'], item.movieID)
print("-===-")
# search for a person
for person in imd.search_person("Ana de Armas"):
    print(person.personID, person['name'])
print("-===-")
# get 5 movies tagged with a keyword
movies_keyword = imd.get_keyword('novel', results=5)
for item in movies_keyword:
   print(item['long imdb canonical title'], item.movieID)
print("-===-")
# get top 250  from top movies
top250 = imd.get_top250_movies()
for item in top250:
   print(item['long imdb canonical title'], item.movieID)
print("-===-")
print("top 250 -=> ")
# get bottom 100 from top movies
bottom100 = imd.get_bottom100_movies()
print("bottom 100 -=> ")
for item in top250:
   print(item['long imdb canonical title'], item.movieID)

Python 2.7 : Testing the pefile python module.

The pefile is a python module to read and work with PE (Portable Executable) files.
The install of this python module is very easy with the pip tool.
I tested the default example create with FASM to see if this is working well:
This is the source code:

; Example of 64-bit PE program
format PE64 GUI
entry start

section '.text' code readable executable

  start:
        sub     rsp,8*5         ; reserve stack for API use and make stack dqword aligned

        mov     r9d,0
        lea     r8,[_caption]
        lea     rdx,[_message]
        mov     rcx,0
        call    [MessageBoxA]

        mov     ecx,eax
        call    [ExitProcess]

section '.data' data readable writeable

  _caption db 'Win64 assembly program',0
  _message db 'Hello World!',0

section '.idata' import data readable writeable

  dd 0,0,0,RVA kernel_name,RVA kernel_table
  dd 0,0,0,RVA user_name,RVA user_table
  dd 0,0,0,0,0

  kernel_table:
    ExitProcess dq RVA _ExitProcess
    dq 0
  user_table:
    MessageBoxA dq RVA _MessageBoxA
    dq 0

  kernel_name db 'KERNEL32.DLL',0
  user_name db 'USER32.DLL',0

  _ExitProcess dw 0
    db 'ExitProcess',0
  _MessageBoxA dw 0
    db 'MessageBoxA',0  

The python script I used to test this python module is this:

import sys
from sys import argv
import mmap
import pefile

fp = open(argv[1],"r")
map = mmap.mmap(fp.fileno(),0,access=mmap.ACCESS_READ)
pe = pefile.PE(data=map[:])
print pe

The output is this:
C:\Python27>python.exe pe.py PE64DEMO.EXE
----------Parsing Warnings----------

Byte 0x00 makes up 87.5488% of the file's contents. This may indicate truncation / malformation.

----------DOS_HEADER----------

[IMAGE_DOS_HEADER]
0x0 0x0 e_magic: 0x5A4D
0x2 0x2 e_cblp: 0x80
0x4 0x4 e_cp: 0x1
0x6 0x6 e_crlc: 0x0
0x8 0x8 e_cparhdr: 0x4
0xA 0xA e_minalloc: 0x10
0xC 0xC e_maxalloc: 0xFFFF
0xE 0xE e_ss: 0x0
0x10 0x10 e_sp: 0x140
0x12 0x12 e_csum: 0x0
0x14 0x14 e_ip: 0x0
0x16 0x16 e_cs: 0x0
0x18 0x18 e_lfarlc: 0x40
0x1A 0x1A e_ovno: 0x0
0x1C 0x1C e_res:
0x24 0x24 e_oemid: 0x0
0x26 0x26 e_oeminfo: 0x0
0x28 0x28 e_res2:
0x3C 0x3C e_lfanew: 0x80

----------NT_HEADERS----------

[IMAGE_NT_HEADERS]
0x80 0x0 Signature: 0x4550

----------FILE_HEADER----------

[IMAGE_FILE_HEADER]
0x84 0x0 Machine: 0x8664
0x86 0x2 NumberOfSections: 0x3
0x88 0x4 TimeDateStamp: 0x5A1954AF [Sat Nov 25 11:31:59 2017 UTC]
0x8C 0x8 PointerToSymbolTable: 0x0
0x90 0xC NumberOfSymbols: 0x0
0x94 0x10 SizeOfOptionalHeader: 0xF0
0x96 0x12 Characteristics: 0x2F
Flags: IMAGE_FILE_EXECUTABLE_IMAGE, IMAGE_FILE_LARGE_ADDRESS_AWARE, IMAGE_FILE_LINE_NUMS_STRIPPED, IMAGE_FILE_LOCAL_SYMS_STRIPPED, IMAGE_FILE_RELOCS_STRIPPED

----------OPTIONAL_HEADER----------

[IMAGE_OPTIONAL_HEADER64]
0x98 0x0 Magic: 0x20B
0x9A 0x2 MajorLinkerVersion: 0x1
0x9B 0x3 MinorLinkerVersion: 0x49
0x9C 0x4 SizeOfCode: 0x200
0xA0 0x8 SizeOfInitializedData: 0x400
0xA4 0xC SizeOfUninitializedData: 0x0
0xA8 0x10 AddressOfEntryPoint: 0x1000
0xAC 0x14 BaseOfCode: 0x1000
0xB0 0x18 ImageBase: 0x400000
0xB8 0x20 SectionAlignment: 0x1000
0xBC 0x24 FileAlignment: 0x200
0xC0 0x28 MajorOperatingSystemVersion: 0x1
0xC2 0x2A MinorOperatingSystemVersion: 0x0
0xC4 0x2C MajorImageVersion: 0x0
0xC6 0x2E MinorImageVersion: 0x0
0xC8 0x30 MajorSubsystemVersion: 0x5
0xCA 0x32 MinorSubsystemVersion: 0x0
0xCC 0x34 Reserved1: 0x0
0xD0 0x38 SizeOfImage: 0x4000
0xD4 0x3C SizeOfHeaders: 0x200
0xD8 0x40 CheckSum: 0xECAF
0xDC 0x44 Subsystem: 0x2
0xDE 0x46 DllCharacteristics: 0x0
0xE0 0x48 SizeOfStackReserve: 0x1000
0xE8 0x50 SizeOfStackCommit: 0x1000
0xF0 0x58 SizeOfHeapReserve: 0x10000
0xF8 0x60 SizeOfHeapCommit: 0x0
0x100 0x68 LoaderFlags: 0x0
0x104 0x6C NumberOfRvaAndSizes: 0x10
DllCharacteristics:

----------PE Sections----------

[IMAGE_SECTION_HEADER]
0x188 0x0 Name: .text
0x190 0x8 Misc: 0x2D
0x190 0x8 Misc_PhysicalAddress: 0x2D
0x190 0x8 Misc_VirtualSize: 0x2D
0x194 0xC VirtualAddress: 0x1000
0x198 0x10 SizeOfRawData: 0x200
0x19C 0x14 PointerToRawData: 0x200
0x1A0 0x18 PointerToRelocations: 0x0
0x1A4 0x1C PointerToLinenumbers: 0x0
0x1A8 0x20 NumberOfRelocations: 0x0
0x1AA 0x22 NumberOfLinenumbers: 0x0
0x1AC 0x24 Characteristics: 0x60000020
Flags: IMAGE_SCN_CNT_CODE, IMAGE_SCN_MEM_EXECUTE, IMAGE_SCN_MEM_READ
Entropy: 0.540255 (Min=0.0, Max=8.0)
MD5 hash: 54edeb1437149ccc09183b623e3be7b8
SHA-1 hash: c473f3db5ca81084db3489ab3519832ded9cc28c
SHA-256 hash: 74e9ff7d6902292d9a8ad93174aef46596f8f1fe9eb5dd72b9ebc99f8bd2ecfb
SHA-512 hash: 070610baa66d6efcbb2cc7e935c2afd2686068818c00b772b3e62de103389cecbc6c309976e10860a974532a1018fba9da50effb64c60f533433dbb808ba088c

[IMAGE_SECTION_HEADER]
0x1B0 0x0 Name: .data
0x1B8 0x8 Misc: 0x24
0x1B8 0x8 Misc_PhysicalAddress: 0x24
0x1B8 0x8 Misc_VirtualSize: 0x24
0x1BC 0xC VirtualAddress: 0x2000
0x1C0 0x10 SizeOfRawData: 0x200
0x1C4 0x14 PointerToRawData: 0x400
0x1C8 0x18 PointerToRelocations: 0x0
0x1CC 0x1C PointerToLinenumbers: 0x0
0x1D0 0x20 NumberOfRelocations: 0x0
0x1D2 0x22 NumberOfLinenumbers: 0x0
0x1D4 0x24 Characteristics: 0xC0000040
Flags: IMAGE_SCN_CNT_INITIALIZED_DATA, IMAGE_SCN_MEM_READ, IMAGE_SCN_MEM_WRITE
Entropy: 0.627189 (Min=0.0, Max=8.0)
MD5 hash: 6684d4efed7dc864e5bbb0280faa841b
SHA-1 hash: 0214a59237a9020d3fa41419107a59f276a95e5f
SHA-256 hash: 23ae47e7bfb842935b35775428fe9c5df5c3f46fa46c2da2e93a27ba031ae091
SHA-512 hash: 60eeefcb47e1e63584342049a66d4539ab4b580190faf9d2629e0db1336933835c207e419060cce08cfec430e2f1e13a90cac7abfb05679ed5d84dac8997f12f

[IMAGE_SECTION_HEADER]
0x1D8 0x0 Name: .idata
0x1E0 0x8 Misc: 0x90
0x1E0 0x8 Misc_PhysicalAddress: 0x90
0x1E0 0x8 Misc_VirtualSize: 0x90
0x1E4 0xC VirtualAddress: 0x3000
0x1E8 0x10 SizeOfRawData: 0x200
0x1EC 0x14 PointerToRawData: 0x600
0x1F0 0x18 PointerToRelocations: 0x0
0x1F4 0x1C PointerToLinenumbers: 0x0
0x1F8 0x20 NumberOfRelocations: 0x0
0x1FA 0x22 NumberOfLinenumbers: 0x0
0x1FC 0x24 Characteristics: 0xC0000040
Flags: IMAGE_SCN_CNT_INITIALIZED_DATA, IMAGE_SCN_MEM_READ, IMAGE_SCN_MEM_WRITE
Entropy: 0.996929 (Min=0.0, Max=8.0)
MD5 hash: 073b9b0656f7ca77d968f183a1ceb909
SHA-1 hash: acefe438c7bfef7362b87519349c5a7b251aa43d
SHA-256 hash: 016761b2d3b31ed8eeddccc9f56e6338978171a0082c066cbf2b28cecd77566a
SHA-512 hash: a5fb7ace9108f63c96c9da239fc5077106cf3ffe8e31a1ab0a11b589a8e6af9e66d23c38060c157a3e34125bc5af495c770e48bc00172a5c8ec78b34794628b3

----------Directories----------

[IMAGE_DIRECTORY_ENTRY_EXPORT]
0x108 0x0 VirtualAddress: 0x0
0x10C 0x4 Size: 0x0
[IMAGE_DIRECTORY_ENTRY_IMPORT]
0x110 0x0 VirtualAddress: 0x3000
0x114 0x4 Size: 0x90
[IMAGE_DIRECTORY_ENTRY_RESOURCE]
0x118 0x0 VirtualAddress: 0x0
0x11C 0x4 Size: 0x0
[IMAGE_DIRECTORY_ENTRY_EXCEPTION]
0x120 0x0 VirtualAddress: 0x0
0x124 0x4 Size: 0x0
[IMAGE_DIRECTORY_ENTRY_SECURITY]
0x128 0x0 VirtualAddress: 0x0
0x12C 0x4 Size: 0x0
[IMAGE_DIRECTORY_ENTRY_BASERELOC]
0x130 0x0 VirtualAddress: 0x0
0x134 0x4 Size: 0x0
[IMAGE_DIRECTORY_ENTRY_DEBUG]
0x138 0x0 VirtualAddress: 0x0
0x13C 0x4 Size: 0x0
[IMAGE_DIRECTORY_ENTRY_COPYRIGHT]
0x140 0x0 VirtualAddress: 0x0
0x144 0x4 Size: 0x0
[IMAGE_DIRECTORY_ENTRY_GLOBALPTR]
0x148 0x0 VirtualAddress: 0x0
0x14C 0x4 Size: 0x0
[IMAGE_DIRECTORY_ENTRY_TLS]
0x150 0x0 VirtualAddress: 0x0
0x154 0x4 Size: 0x0
[IMAGE_DIRECTORY_ENTRY_LOAD_CONFIG]
0x158 0x0 VirtualAddress: 0x0
0x15C 0x4 Size: 0x0
[IMAGE_DIRECTORY_ENTRY_BOUND_IMPORT]
0x160 0x0 VirtualAddress: 0x0
0x164 0x4 Size: 0x0
[IMAGE_DIRECTORY_ENTRY_IAT]
0x168 0x0 VirtualAddress: 0x0
0x16C 0x4 Size: 0x0
[IMAGE_DIRECTORY_ENTRY_DELAY_IMPORT]
0x170 0x0 VirtualAddress: 0x0
0x174 0x4 Size: 0x0
[IMAGE_DIRECTORY_ENTRY_COM_DESCRIPTOR]
0x178 0x0 VirtualAddress: 0x0
0x17C 0x4 Size: 0x0
[IMAGE_DIRECTORY_ENTRY_RESERVED]
0x180 0x0 VirtualAddress: 0x0
0x184 0x4 Size: 0x0

----------Imported symbols----------

[IMAGE_IMPORT_DESCRIPTOR]
0x600 0x0 OriginalFirstThunk: 0x0
0x600 0x0 Characteristics: 0x0
0x604 0x4 TimeDateStamp: 0x0 [Thu Jan 01 00:00:00 1970 UTC]
0x608 0x8 ForwarderChain: 0x0
0x60C 0xC Name: 0x305C
0x610 0x10 FirstThunk: 0x303C

KERNEL32.DLL.ExitProcess Hint[0]

[IMAGE_IMPORT_DESCRIPTOR]
0x614 0x0 OriginalFirstThunk: 0x0
0x614 0x0 Characteristics: 0x0
0x618 0x4 TimeDateStamp: 0x0 [Thu Jan 01 00:00:00 1970 UTC]
0x61C 0x8 ForwarderChain: 0x0
0x620 0xC Name: 0x3069
0x624 0x10 FirstThunk: 0x304C

USER32.DLL.MessageBoxA Hint[0]


The collections python module .

This module named collections implements some nice data structures which will help you to solve various real-life problems.
Let's start to see the content of this python module:

C:\Users\catafest>python

C:\Users\catafest>cd C:\Python27\

C:\Python27>python
Python 2.7 (r27:82525, Jul  4 2010, 07:43:08) [MSC v.1500 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import collections
>>> from collections import *
>>> dir(collections)
['Callable', 'Container', 'Counter', 'Hashable', 'ItemsView', 'Iterable', 'Iterator', 'KeysView',
 'Mapping', 'MappingView', 'MutableMapping', 'MutableSequence', 'MutableSet', 'OrderedDict', 'Sequence',
 'Set', 'Sized', 'ValuesView', '__all__', '__builtins__', '__doc__', '__file__', '__name__', '__package__'
, '_abcoll', '_chain', '_eq', '_heapq', '_ifilter', '_imap', '_iskeyword', '_itemgetter', '_repeat', 
'_starmap', '_sys', 'defaultdict', 'deque', 'namedtuple']

Now I will tell you about some
First is Counter and is a direct subclass which helps to count hashable objects.
The elements are stored as dictionary keys and counts are stored as values which can be zero or negative.
Next is defaultdict and is a dictionary object which provides all methods provided by the dictionary.
This takes the first argument (default_factory) as default data type for the dictionary.
The namedtuple helps to have the meaning of each position in a tuple.
This allows us to code with better readability and self-documenting code.
Let's try some examples:

>>> from collections import Counter
>>> from collections import defaultdict
>>> from collections import namedtuple
>>> import re
>>> path = 'C:/yara_reg_rundll32.txt'
>>> output = re.findall('\w+', open(path).read().lower())
>>> Counter(output).most_common(5)
[('a', 2), ('nocase', 2), ('javascript', 2), ('b', 2), ('rundll32', 2)]
>>> 
>>> d = defaultdict(list)
>>> colors = [('yellow', 1), ('blue', 2), ('yellow', 3), ('blue', 4), ('red', 1)]
>>> for k, v in colors:
...     d[k].append(v)
...
>>> d.items()
[('blue', [2, 4]), ('red', [1]), ('yellow', [1, 3])]
>>> 
>>> Vertex = namedtuple('vertex', ['x', 'y'])
>>> v = Vertex(5,y = 9)
>>> v
vertex(x=5, y=9)
>>> v.x*v.y
45
>>> v[0]
5
>>> v[0]+v[1]
14
>>> x,y = v
>>> v
vertex(x=5, y=9)
>>> x
5
>>> y
9
>>>

The content of the yara_reg_rundll32.txt file is:
rule poweliks_rundll32_exe_javascript
{
meta:
description = "detect Poweliks' autorun rundll32.exe javascript:..."
string:
$a = "rundll32.exe" nocase
$b = "javascript" nocase
condition:
$a and $b
}
I used vertex variables into my example because can be used with Blender 3D.
You can see many examples at official documentation website.

The trinket website for learning.

This website comes with this feature:
Trinket lets you run and write code in any browser, on any device.
Trinkets work instantly, with no need to log in, download plugins, or install software.
Easily share or embed the code with your changes when you're done.

• Just create Your Free Account then use the web interface to play with turtle python module:
• Trinket lets you run and write code in any browser, on any device.
• Trinkets work instantly, with no need to log in, download plugins, or install software.
• Easily share or embed the code with your changes when you're done.

Python 2.7 : Python and BigQuery service object.

Here's another tutorial about python and google. I thought it would be useful for the beginning of 2018.
The Google team tell us:

What is BigQuery?

Storing and querying massive datasets can be time consuming and expensive without the right hardware and infrastructure. Google BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure. Simply move your data into BigQuery and let us handle the hard work. You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data.

This tutorial it follows more precisely the steps from here.
First of all, you must create an authentication file by using the Create service account from your Google project.
Go to Google Console, navigate to the Create service account key page.
From the Service account drop-down, select the New service account.
Input a name into the form field.
From the Role drop-down, select Project and Owner.
The result is a JSON file type (this is for authenticating with google) download it renames and put into your project folder.
Like into the next image:

Now, select from the left area the Library does add the BigQuery API, try this link.
Search for BigQuery API and then use the button ENABLE to use it.
The next step is to install these python modules: pyopenssl and google-cloud-bigquery.

C:\Python27\Scripts>pip install -U pyopenssl
C:\Python27\Scripts>pip install --upgrade google-cloud-bigquery

Add this JSON file to windows path from my test folder:

set GOOGLE_APPLICATION_CREDENTIALS=C:\test\python_doc.json

Because my JSON file is named python_doc.json then this is the name I will use with my python script.
Let's see the script:

import google
from google.cloud import bigquery

def query_shakespeare():
    client = bigquery.Client()
    client = client.from_service_account_json('python_doc.json')
    query_job = client.query("""
        #standardSQL
        SELECT corpus AS title, COUNT(*) AS unique_words
        FROM `bigquery-public-data.samples.shakespeare`
        GROUP BY title
        ORDER BY unique_words DESC
        LIMIT 10""")

    results = query_job.result()  # Waits for job to complete.

    for row in results:
        print("{}: {}".format(row.title, row.unique_words))

if __name__ == '__main__':
    query_shakespeare()

The result is:

C:\Python27>python.exe goo_test_bquerry.py
hamlet: 5318
kinghenryv: 5104
cymbeline: 4875
troilusandcressida: 4795
kinglear: 4784
kingrichardiii: 4713
2kinghenryvi: 4683
coriolanus: 4653
2kinghenryiv: 4605
antonyandcleopatra: 4582

NOTE: Take care of the JSON file because it gives access to your google account and tries to use the restrictions according to the application's requirements.

Python 2.7 : InsecurePlatformWarning error.

This is not a common error and can be solve it easy like any python issue.
The result of this error can be shown like into the next example:

c:\python27\lib\site-packages\pip\_vendor\requests\packages\urllib3\util\ssl_.py:318: 
SNIMissingWarning: An HTTPS request has been made, but the SNI (Subject Name Indication) extension 
to TLS is not available on this platform. This may cause the server to present an incorrect TLS 
certificate, which can cause validation failures. You can upgrade to a newer version of Python to
 solve this. For more information, see https://urllib3.readthedocs.io/en/latest/security.html
#snimissingwarning.
  SNIMissingWarning
c:\python27\lib\site-packages\pip\_vendor\requests\packages\urllib3\util\ssl_.py:122: 
InsecurePlatformWarning: A true SSLContext object is not available. This prevents urllib3 from
 configuring SSL appropriately and may cause certain SSL connections to fail. You can upgrade 
to a newer version of Python to solve this. For more information, see https://urllib3.readthe
docs.io/en/latest/security.html#insecureplatformwarning.
  InsecurePlatformWarning

The simple way to test this python error is to install these python modules:

pip install urllib3 
pip install requests

This last python module named requests to come with:

Successfully installed certifi-2017.11.5 chardet-3.0.4 idna-2.6 requests-2.18.4

What is this python module named requests?
Is a security the requests python module inject pyopenssl into urllib3.

C:\Python27>python
Python 2.7 (r27:82525, Jul  4 2010, 07:43:08) [MSC v.1500 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> help()

Welcome to Python 2.7!  This is the online help utility.

If this is your first time using Python, you should definitely check out
the tutorial on the Internet at http://docs.python.org/tutorial/.

Enter the name of any module, keyword, or topic to get help on writing
Python programs and using Python modules.  To quit this help utility and
return to the interpreter, just type "quit".

To get a list of available modules, keywords, or topics, type "modules",
"keywords", or "topics".  Each module also comes with a one-line summary
of what it does; to list the modules whose summaries contain a given word
such as "spam", type "modules spam".

help> modules requests

Here is a list of matching modules.  Enter any module name to get more help.

pip._vendor.cachecontrol.controller - The httplib2 algorithms ported for use with requests.
pip._vendor.requests - Requests HTTP library
pip._vendor.requests.adapters - requests.adapters
pip._vendor.requests.api - requests.api
pip._vendor.requests.auth - requests.auth
pip._vendor.requests.certs - requests.certs
pip._vendor.requests.compat - requests.compat
pip._vendor.requests.cookies - requests.cookies
pip._vendor.requests.exceptions - requests.exceptions
pip._vendor.requests.hooks - requests.hooks
pip._vendor.requests.models - requests.models
pip._vendor.requests.packages
pip._vendor.requests.packages.chardet
pip._vendor.requests.packages.chardet.big5freq
pip._vendor.requests.packages.chardet.big5prober
pip._vendor.requests.packages.chardet.chardetect - Script which takes one or more file paths 
and reports on their detected
pip._vendor.requests.packages.chardet.chardistribution
pip._vendor.requests.packages.chardet.charsetgroupprober
pip._vendor.requests.packages.chardet.charsetprober
pip._vendor.requests.packages.chardet.codingstatemachine
pip._vendor.requests.packages.chardet.compat
pip._vendor.requests.packages.chardet.constants
pip._vendor.requests.packages.chardet.cp949prober
pip._vendor.requests.packages.chardet.escprober
pip._vendor.requests.packages.chardet.escsm
pip._vendor.requests.packages.chardet.eucjpprober
pip._vendor.requests.packages.chardet.euckrfreq
pip._vendor.requests.packages.chardet.euckrprober
pip._vendor.requests.packages.chardet.euctwfreq
pip._vendor.requests.packages.chardet.euctwprober
pip._vendor.requests.packages.chardet.gb2312freq
pip._vendor.requests.packages.chardet.gb2312prober
pip._vendor.requests.packages.chardet.hebrewprober
pip._vendor.requests.packages.chardet.jisfreq
pip._vendor.requests.packages.chardet.jpcntx
pip._vendor.requests.packages.chardet.langbulgarianmodel
pip._vendor.requests.packages.chardet.langcyrillicmodel
pip._vendor.requests.packages.chardet.langgreekmodel
pip._vendor.requests.packages.chardet.langhebrewmodel
pip._vendor.requests.packages.chardet.langhungarianmodel
pip._vendor.requests.packages.chardet.langthaimodel
pip._vendor.requests.packages.chardet.latin1prober
pip._vendor.requests.packages.chardet.mbcharsetprober
pip._vendor.requests.packages.chardet.mbcsgroupprober
pip._vendor.requests.packages.chardet.mbcssm
pip._vendor.requests.packages.chardet.sbcharsetprober
pip._vendor.requests.packages.chardet.sbcsgroupprober
pip._vendor.requests.packages.chardet.sjisprober
pip._vendor.requests.packages.chardet.universaldetector
pip._vendor.requests.packages.chardet.utf8prober
pip._vendor.requests.packages.urllib3 - urllib3 - Thread-safe connection pooling and re-using.
pip._vendor.requests.packages.urllib3._collections
pip._vendor.requests.packages.urllib3.connection
pip._vendor.requests.packages.urllib3.connectionpool
pip._vendor.requests.packages.urllib3.contrib
pip._vendor.requests.packages.urllib3.contrib.appengine
pip._vendor.requests.packages.urllib3.contrib.ntlmpool - NTLM authenticating pool, 
contributed by erikcederstran
pip._vendor.requests.packages.urllib3.contrib.pyopenssl
pip._vendor.requests.packages.urllib3.contrib.socks - SOCKS support for urllib3
pip._vendor.requests.packages.urllib3.exceptions
pip._vendor.requests.packages.urllib3.fields
pip._vendor.requests.packages.urllib3.filepost
pip._vendor.requests.packages.urllib3.packages
pip._vendor.requests.packages.urllib3.packages.ordered_dict
pip._vendor.requests.packages.urllib3.packages.six - Utilities for writing code that runs on 
Python 2 and 3
pip._vendor.requests.packages.urllib3.packages.ssl_match_hostname
pip._vendor.requests.packages.urllib3.packages.ssl_match_hostname._implementation - The match_hostname() 
function from Python 3.3.3, essential when using SSL.
pip._vendor.requests.packages.urllib3.poolmanager
pip._vendor.requests.packages.urllib3.request
pip._vendor.requests.packages.urllib3.response
pip._vendor.requests.packages.urllib3.util
pip._vendor.requests.packages.urllib3.util.connection
pip._vendor.requests.packages.urllib3.util.request
pip._vendor.requests.packages.urllib3.util.response
pip._vendor.requests.packages.urllib3.util.retry
pip._vendor.requests.packages.urllib3.util.ssl_
pip._vendor.requests.packages.urllib3.util.timeout
pip._vendor.requests.packages.urllib3.util.url
pip._vendor.requests.sessions - requests.session
pip._vendor.requests.status_codes
pip._vendor.requests.structures - requests.structures
pip._vendor.requests.utils - requests.utils
requests - Requests HTTP Library
requests.__version__
requests._internal_utils - requests._internal_utils
requests.adapters - requests.adapters
requests.api - requests.api
requests.auth - requests.auth
requests.certs - requests.certs
requests.compat - requests.compat
requests.cookies - requests.cookies
requests.exceptions - requests.exceptions
requests.help - Module containing bug report helper(s).
requests.hooks - requests.hooks
requests.models - requests.models
requests.packages
requests.sessions - requests.session
requests.status_codes
requests.structures - requests.structures
requests.utils - requests.utils
help>
You are now leaving help and returning to the Python interpreter.
If you want to ask for help on a particular object directly from the
interpreter, you can type "help(object)".  Executing "help('string')"
has the same effect as typing a particular string at the help> prompt.
>>>
...

The ebooklib python module .

Happy new year 2018!
The official webpage of this python module comes with this intro:
EbookLib is a Python library for managing EPUB2/EPUB3 and Kindle files. It's capable of reading and writing EPUB files programmatically (Kindle support is under development).
First the installation of this python module named ebooklib.

C:\>cd Python27

C:\Python27>cd Script
The system cannot find the path specified.

C:\Python27>cd Scripts

C:\Python27\Scripts>pip install ebooklib
Collecting ebooklib
  Downloading EbookLib-0.16.tar.gz
Requirement already satisfied: lxml in c:\python27\lib\site-packages (from ebooklib)
Requirement already satisfied: six in c:\python27\lib\site-packages (from ebooklib)
Installing collected packages: ebooklib
  Running setup.py install for ebooklib ... done
Successfully installed ebooklib-0.16

If you don't see the Scripts folder into your Python27 folder you need to install pip tool.
Just download the get-pip.py script into your Python27 folder and run it with python.
Let's test some default example:

C:\Python27>python.exe get-pip.py

The next step is to test a simple example:

from ebooklib import epub

book = epub.EpubBook()

# set metadata
book.set_identifier('id123456')
book.set_title('Sample book')
book.set_language('en')

book.add_author('Author Python')
book.add_author('catafest', file_as='', role='writer', uid='author')

# create chapter
c1 = epub.EpubHtml(title='Intro', file_name='chap_01.xhtml', lang='hr')
c1.content=u'Intro heading.Python is a interpreted high-level programming language ...'

# add chapter
book.add_item(c1)

# define Table Of Contents
book.toc = (epub.Link('chap_01.xhtml', 'Introduction', 'intro'),
(epub.Section('Simple book'),
(c1, ))
)

# add default NCX and Nav file
book.add_item(epub.EpubNcx())
book.add_item(epub.EpubNav())

# define CSS style
style = 'BODY {color: white;}'
nav_css = epub.EpubItem(uid="style_nav", file_name="style/nav.css", media_type="text/css", content=style)

# add CSS file
book.add_item(nav_css)

# basic spine
book.spine = ['nav', c1]

# write to the file
epub.write_epub('test.epub', book, {})

You can update and make more good your epub book with HTML5 tags.
I used this example with headings and paragraph to change the text, see the result:

The development with python-instagram - python 3.6.3 .

Today I will show you how to deal with Instagram API using python-instagram python module.
The version of the python I used is this version: Python 3.6.3 |Anaconda custom (64-bit)| (default, Oct 15 2017, 03:27:45) [MSC v.1900 64 bit (AMD64)] on win32
This is the python install of PyCharm IDE - Miniconda3 on my Windows 10 account.
The first step is the install module with the pip tool:

pip install python-instagram
Collecting python-instagram
  Downloading python-instagram-1.3.2.tar.gz
Collecting simplejson (from python-instagram)
  Downloading simplejson-3.13.2-cp36-cp36m-win_amd64.whl (70kB)
    100% |████████████████████████████████| 71kB 816kB/s
Collecting httplib2 (from python-instagram)
  Downloading httplib2-0.10.3.tar.gz (204kB)
    100% |████████████████████████████████| 204kB 1.1MB/s
Requirement already satisfied: six in c:\users\catafest\miniconda3\lib\site-packages (from python-instagram)
Building wheels for collected packages: python-instagram, httplib2
...
Successfully built python-instagram httplib2
Installing collected packages: simplejson, httplib2, python-instagram
Successfully installed httplib2-0.10.3 python-instagram-1.3.2 simplejson-3.13.2

The next step is to take your Client Secret and Client ID from your Instagram account:
The next step is to set your Instagram API:

You can try some example from here.
I just got this error :...instagram.bind.InstagramAPIError: (400) OAuthAccessTokenException-The access_token provided is invalid.
I think the problem is Instagram because I search on the internet and many people come with this issue.
The team development of Instagram tell us to set some Permission:
All permissions require approval to be used out of Sandbox. Make sure to review our Platform Policies before submitting your app for review. To learn more about the review process, please read the Permissions Review documentation.
I try to use this but is not very clear for me.

Fix PyCharm error install python module from conda .

Today I fix an error about PyCharm and conda.
As you know :
Conda is an open source package management system and environmental management system that runs on Windows, macOS and Linux.
Also, Conda quickly installs, runs and updates packages dependency and environment management for any language—Python, R, Ruby, Lua, Scala, Java, JavaScript, C/ C++, FORTRAN.
This error is from PyCharm install python modules using error check from PyCharm (Alt+Enter keys):

The result of this install come with this error from conda :

Close your PyCharm and use this command into your shell-like administrator:

C:\WINDOWS\system32>conda config --show
C:\WINDOWS\system32>conda config --set force True
C:\WINDOWS\system32>conda update conda
C:\WINDOWS\system32>conda install conda anaconda
Fetching package metadata .............
Solving package specifications: .

# All requested packages already installed.
# packages in environment at C:\Users\catafest\Miniconda3:
#
anaconda                  5.0.1            py36h8316230_2
conda                     4.3.30           py36h7e176b0_0
C:\WINDOWS\system32>conda update --prefix C:\Users\catafest\Miniconda3 anaconda
Fetching package metadata .............
Solving package specifications: .

Package plan for installation in environment C:\Users\catafest\Miniconda3:

The following packages will be UPDATED:

    conda-env: 2.6.0-0 --> 2.6.0-h36134e3_1
Proceed ([y]/n)? y

conda-env-2.6. 100% |###############################| Time: 0:00:00 163.59 kB/s

This command installs anaconda and updates it using my account catafest .
Start the I.D.E. PyCharm and after indexing all you can try to fix the python install module (Alt+Enter keys).
If the python modules are not into conda repo from PyCharm then you can use this command:

C:\WINDOWS\system32>conda install -c conda-forge opencv
Fetching package metadata ...............
Solving package specifications: .

# All requested packages already installed.
# packages in environment at C:\Users\catafest\Miniconda3:
#
opencv                    3.3.0                  py36_202    conda-forge

In this example I used OpenCV python module named into python script like cv2, see the next image:

Using kivy python module with PyCharm IDE.

First, you need to download the last version of PyCharm IDE.
My PyCharm IDE put the python version 3 into a folder named Miniconda3.
I use the command shell to go to Scripts and I used pip to install the kivy python module, see:

Scripts>pip install kivy
Collecting kivy
  Downloading Kivy-1.10.0-cp36-cp36m-win_amd64.whl (3.5MB)
    100% |████████████████████████████████| 3.5MB 380kB/s
Collecting pygments (from kivy)
  Downloading Pygments-2.2.0-py2.py3-none-any.whl (841kB)
    100% |████████████████████████████████| 849kB 1.3MB/s
Collecting Kivy-Garden>=0.1.4 (from kivy)
  Downloading kivy-garden-0.1.4.tar.gz
Collecting docutils (from kivy)
  Downloading docutils-0.14-py3-none-any.whl (543kB)
    100% |████████████████████████████████| 552kB 1.8MB/s
Requirement already satisfied: requests 
...
Building wheels for collected packages: Kivy-Garden
...
Successfully built Kivy-Garden
Installing collected packages: pygments, Kivy-Garden, docutils, kivy
Successfully installed Kivy-Garden-0.1.4 docutils-0.14 kivy-1.10.0 pygments-2.2.0

I got one error about SDL and I put the SDL 2.0 into my windows system 32 folders.
The next step is to try to use this steps from the official website into the Scripts folder from Miniconda3.

python -m pip install --upgrade pip wheel setuptools
python -m pip install docutils pygments pypiwin32 kivy.deps.sdl2 kivy.deps.glew
python -m pip install kivy.deps.gstreamer
python -m pip install kivy.deps.angle
python -m pip install kivy

I make one project into my PyCharm editor and I use the default 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()

The result can be see into the next image:

The Google Cloud Pub/Sub python module.

This is a test of google feature from cloud.google.com/pubsub web page.
The Google development team tell us about this service:
The Google Cloud Pub/Sub service allows applications to exchange messages reliably, quickly, and asynchronously. To accomplish this, a producer of data publishes a message to a Cloud Pub/Subtopic. A subscriber client then creates a subscription to that topic and consumes messages from the subscription. Cloud Pub/Sub persists messages that could not be delivered reliably for up to seven days. This page shows you how to get started publishing messages with Cloud Pub/Sub using client libraries.
The simple idea about this is:
Publisher applications can send messages to a topic, and other applications can subscribe to that topic to receive the messages.
I start with the installation of the python module using python version 2.7 and pip tool.

C:\Python27>cd Scripts

C:\Python27\Scripts>pip install --upgrade google-cloud-pubsub
Collecting google-cloud-pubsub
  Downloading google_cloud_pubsub-0.28.4-py2.py3-none-any.whl (79kB)
    100% |################################| 81kB 300kB/s
...
Successfully installed google-cloud-pubsub-0.28.4 grpc-google-iam-v1-0.11.4 ply-3.8 
psutil-5.4.0 pyasn1-modules-0.1.5 setuptools-36.6.0

The next steps come with some settings on google console, see this google page.
The default settings can be started and set with this command: gcloud init .
You need to edit this settings and app.yaml at ~/src/.../appengine/flexible/pubsub$ nano app.yaml.
After that, you set all of this using the command gcloud app deploy you can see the output at https://[YOUR_PROJECT_ID].appspot.com.
The main goal of this tutorial was to start and run the Google Cloud Pub/Sub service with python and this has been achieved.

The online editor for python and google .

This is a good online editor for python and google.
Like any online editor, some python modules are not available for online security reasons.
I do not know what python modules are implemented in this online editor.
I tested just sys and math python modules.
The Google Apps come with this tool integration like application for Google drive:
Edit your python file directly in your browser:
- Save it to Google Drive integrated with Google Drive
- Test it in your browser with Skulpt
- Use autocompletion code (CTRL+SPACE)
- No registration required and totally free
- Export your file
- Work offline
New python libraries partially supported: numpy, matplotlib.

The capstone python module - disassembly framework.

The official python module comes with this info about this python module:
Capstone is a disassembly framework with the target of becoming the ultimate
the disasm engine for binary analysis and reversing in the security community.

Created by Nguyen Anh Quynh, then developed and maintained by a small community,
Capstone offers some unparalleled features:

- Support multiple hardware architectures: ARM, ARM64 (ARMv8), Mips, PPC & X86.

- Having clean/simple/lightweight/intuitive architecture-neutral API.

- Provide details on disassembled instruction (called “decomposer” by others).

- Provide semantics of the disassembled instruction, such as list of implicit
registers read & written.

- Implemented in pure C language, with lightweight wrappers for C++, Python,
Ruby, OCaml, C#, Java and Go available.

- Native support for Windows & *nix platforms (with OSX, Linux, *BSD & Solaris
have been confirmed).

- Thread-safe by design.

- Distributed under the open source BSD license.
Today I tested this python module with python version 2.7.
First I need to use a build of this python module from the official website.
I used binaries 32 bits like my python 2.7 and I tested with pip 2.7:

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

Let's make a simple test with this python module:

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.
>>> from capstone import (
...     Cs,
...     CS_ARCH_X86,
...     CS_MODE_32,
...     CS_OPT_SYNTAX_ATT,
... )
>>> mode=Cs(CS_ARCH_X86, CS_MODE_32)
>>> mode.syntax = CS_OPT_SYNTAX_ATT
>>> def D_ASM(code):
...     for address, size, mnemonic, op_str in mode.disasm_lite(code, offset=0x08048060):
...         print("0x{0:x}\t{1:d}\t{2:s}\t{3:s}".format(address, size,mnemonic, op_str))
...
>>> D_ASM(b"\xe1\x0b\x40\xb9\x20\x04\x81\xda\x20\x08\x02\x8b")
0x8048060       2       loope   0x804806d
0x8048062       1       incl    %eax
0x8048063       5       movl    $0xda810420, %ecx
0x8048068       2       andb    %cl, (%eax)

It seems to work very well.