getgimphed

Other people's projects:

• https://github.com/laracasts/URL-Shortener URL Shortener by Jeffrey Way
• https://github.com/basco-johnkevin/laravelsnippets Source code of http://laravelsnippets.com website
• https://github.com/jesseterry/FusionInvoice FusionInvoice is built for freelancers and small businesses who need a simple, yet powerful self-hosted web based invoicing system.
• https://github.com/ezynda3/burnmsg is a self-destructing encrypted message app. A demo is also running on https://burnmsg.com
• https://github.com/martindilling/auto-generating-gallery the demo is at http://gallerydemo.martindilling.com/

My projects (tutorials are on my blog at http://maxoffsky.com):

• https://github.com/CodepadME/laravel-tricks - Source of Laravel-tricks.com

getgimphed

import numpy as np
import matplotlib.pyplot as plt
from PIL import Image

# Loading the image
org_image = Image.open('Kheerganga.jpeg','r')
pixels = list(org_image.getdata())
final_pixels = []
for i in range(0,len(pixels)):
    final_pixels.append( np.array(pixels[i]) )

getgimphed

# Importing the libraries
import docx2txt
import pickle
import re 

# TH : The Hindu, TOI : Times of India, IE : Indian Express, HT : Hindustan Times
# Loading newspaper text using docx2txt python library.
THtext = docx2txt.process("TH.docx")
TOItext = docx2txt.process("TOI.docx")
IEtext = docx2txt.process("IE.docx")

getgimphed

# Evaluating 4 Indian English NewsPapers for 10th May 2020 for their 
## Vocabulary or No of Unique words per Paragraphs
## Factual Presentation
## Sentimental Analysis 
## Graphic content/ images : Needs preprocessing
## Visualising 

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd