Giteafy the repo

Signed-off-by: Puranjay Savar Mattas <me@psmattas.com>

ContentAggregator.py

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+""" 
+----------------------------------------
+Content Aggregator
+----------------------------------------
+Surfing through different websites and articles 
+in search of good and authentic content is a 
+time-consuming process. This Python project can 
+help you save time looking for content. A content 
+aggregator searches popular websites in search for 
+relevant content and then complies with all the 
+content and provides the user with unbiased content.
+----------------------------------------
+"""
+
+import urllib, os, requests, datetime, subprocess
+
+# reddit imports
+import praw, pprint
+
+# pip install feedparser
+import feedparser
+
+# stockexchange
+from nsetools import Nse
+
+# Place your CLIENT_ID & CLIENT_SECRET below
+reddit = praw.Reddit(client_id='XXXXXXX',
+                    client_secret='XXXXXXXXXXX',
+                    grant_type_access='client_credentials',
+                    user_agent='script/1.0')
+# class Reddit:
+#    def TopNews(self):
+#          Add your favorite NEWS subreddits in the argument as many as you'd like.
+#         for submission in reddit.subreddit('News+WorldNews+UpliftingNews+').top(limit=10):
+#             top_news = reddit.domain(submission).top('month')ls
+
+#             print(top_news)
+
+"""
+Each class contains functions which further calls
+APIs from the neccesary packages and the rest is 
+self explanatory I suppose
+"""
+
+class News:
+    def Indian_News(self):
+        newsfeed = feedparser.parse(
+            "http://feeds.feedburner.com/ndtvnews-india-news"
+        )
+        print("Today's News: ")
+        for i in range(0, 20):
+            entry = newsfeed.entries[i]
+            print(entry.title)
+            print(entry.summary)
+            print("------News Link--------")
+            print(entry.link)
+            print("###########################################")
+            print('                                                                                                       ')
+        print('-------------------------------------------------------------------------------------------------------')
+        print('                                                                                                       ')
+
+class Medium:
+
+    # https://github.com/thepracticaldev/dev.to/issues/28#issuecomment-325544385
+    def medium_programming(self):
+        feed = feedparser.parse(
+            "https://medium.com/feed/tag/programming"
+        )
+        print("Programming Today: ")
+        for i in range(10):
+            entry = feed.entries[i]
+            print(entry.title)
+            print("URL: ")
+            print(entry.link)
+            print("###########################################")
+            print('                                                                                                       ')
+        print('-------------------------------------------------------------------------------------------------------')
+        print('                                                                                                       ')
+
+    def medium_python(self):
+        feed_python = feedparser.parse(
+            "https://medium.com/feed/tag/python"
+        )
+        print("Python Today: ")
+        for i in range(10):
+            entry = feed_python.entries[i]
+            print(entry.title)
+            print("URL: ")
+            print(entry.link)
+            print("###########################################")
+            print('                                                                                                       ')
+        print('-------------------------------------------------------------------------------------------------------')
+        print('                                                                                                       ')
+
+    def medium_developer(self):
+        feed_developer = feedparser.parse(
+            "https://medium.com/feed/tag/developer"
+        )
+        print("Developer News Today: ")
+        for i in range(5):
+            entry = feed_developer.entries[i]
+            print(entry.title)
+            print("URL: ")
+            print(entry.link)
+            print("###########################################")
+            print('                                                                                                       ')
+        print('-------------------------------------------------------------------------------------------------------')
+        print('                                                                                                       ')
+
+class StockExchange:
+    def nse_stock(self):
+        nse = Nse()
+        print("TOP GAINERS OF YESTERDAY")
+        pprint.pprint(nse.get_top_gainers())
+        print("###########################################")
+        print('                                                                                                       ')
+        print("TOP LOSERS OF YESTERDAY")
+        pprint.pprint(nse.get_top_losers())
+        print("###########################################")
+        print('                                                                                                       ')
+        print('-------------------------------------------------------------------------------------------------------')
+        print('                                                                                                       ')
+
+#/ objects inititalization
+# reddit_object = Reddit()
+
+News_object = News()
+Medium_object = Medium()
+StockExchange_object = StockExchange()
+
+if __name__ == "__main__":
+    
+    # Functions call of each class
+    # reddit_object.TopNews()
+    News_object.Indian_News()
+    Medium_object.medium_python()
+    Medium_object.medium_programming()
+    Medium_object.medium_developer()
+    StockExchange_object.nse_stock()

Order Of Programs (AP).md

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+# Advanced Projects:
+
+| Serial No. | Program Name |
+|------------|--------------|
+|1           | [ContentAggregator.py](https://git.psmattas.com/psmattas/Python-Projects/src/branch/All-Projects/ContentAggregator.py) |
+|2           | [PlagiarismChecker.py](https://git.psmattas.com/psmattas/Python-Projects/src/branch/All-Projects/PlagiarismChecker.py) |

Order Of Programs(BP).MD

@@ -2,8 +2,8 @@
 
 | Serial No. | Program Name |
 |------------|--------------|
-|1           | [MadLabGenerator](https://github.com/psavarmattas/Python-Projects/blob/master/MadLabGenerator.py) | 
+|1           | [MadLabGenerator](https://git.psmattas.com/psmattas/Python-Projects/src/branch/All-Projects/MadLabGenerator.py) | 
-|2           | [NumberGuessing](https://github.com/psavarmattas/Python-Projects/blob/master/NumberGuessing.py) | 
+|2           | [NumberGuessing](https://git.psmattas.com/psmattas/Python-Projects/src/branch/All-Projects/NumberGuessing.py) | 
-|3           | [RockPaperScisors](https://github.com/psavarmattas/Python-Projects/blob/master/RockPaperScissors.py) |
+|3           | [RockPaperScisors](https://git.psmattas.com/psmattas/Python-Projects/src/branch/All-Projects/RockPaperScissors.py) |
-|4           | [WebsiteBlocker](https://github.com/psavarmattas/Python-Projects/blob/master/WebsiteBlocker.py) |
+|4           | [WebsiteBlocker](https://git.psmattas.com/psmattas/Python-Projects/src/branch/All-Projects/WebsiteBlocker.py) |
-|5           | [BinarySearch](https://github.com/psavarmattas/Python-Projects/blob/master/BinarySearch.py) |
+|5           | [BinarySearch](https://git.psmattas.com/psmattas/Python-Projects/src/branch/All-Projects/BinarySearch.py) |

Order Of Programs(IP).MD

@@ -2,8 +2,8 @@
 
 | Serial No. | Program Name |
 |------------|--------------|
-|1           | [Calculator](https://github.com/psavarmattas/Python-Projects/blob/master/Calculator.py) |
+|1           | [Calculator](https://git.psmattas.com/psmattas/Python-Projects/src/branch/All-Projects/Calculator.py) |
-|2           | [AlarmClock](https://github.com/psavarmattas/Python-Projects/blob/master/AlarmClock.py) & [youtube_alarm_videos](https://github.com/psavarmattas/Python-Projects/blob/master/youtube_alarm_videos.txt) |
+|2           | [AlarmClock](https://git.psmattas.com/psmattas/Python-Projects/src/branch/All-Projects/AlarmClock.py) & [youtube_alarm_videos](https://git.psmattas.com/psmattas/Python-Projects/src/branch/All-Projects/youtube_alarm_videos.txt) |
-|3           | [TikTacToe](https://github.com/psavarmattas/Python-Projects/blob/master/TikTacToe.py) |
+|3           | [TikTacToe](https://git.psmattas.com/psmattas/Python-Projects/src/branch/All-Projects/master/TikTacToe.py) |
-|4           | [DirectoryTreeGenerator](https://github.com/psavarmattas/Python-Projects/blob/master/DirectoryTreeGenerator.py) |
+|4           | [DirectoryTreeGenerator](https://git.psmattas.com/psmattas/Python-Projects/src/branch/All-Projects/master/DirectoryTreeGenerator.py) |
-|5           | [CurrencyConverter](https://github.com/psavarmattas/Python-Projects/blob/master/CurrencyConverter.py) |
+|5           | [CurrencyConverter](https://git.psmattas.com/psmattas/Python-Projects/src/branch/All-Projects/master/CurrencyConverter.py) |

PlagiarismChecker.py

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+""" 
+----------------------------------------
+Plagiarism Checker 
+----------------------------------------
+With content creation and blogging one of 
+the good businesses in the market everyone 
+wants to try their hands on this but some 
+lack sufficient funds to give their articles 
+a free plagiarism check as mostly plagiarism 
+checkers do not come for free. Building a 
+Python plagiarism checker could be built here 
+using a natural language processing library 
+along with the search API to search the first 
+few pages of Google and detect plagiarism if any. 
+----------------------------------------
+"""
+import re
+import nltk; nltk.download('punkt')
+from nltk.util import ngrams, pad_sequence, everygrams
+from nltk.tokenize import word_tokenize
+from nltk.lm import MLE, WittenBellInterpolated
+import numpy as np
+import plotly.graph_objects as go
+from scipy.ndimage import gaussian_filter
+
+# Training data file
+train_data_file = ""
+
+# read training data
+with open(train_data_file) as f:
+    train_text = f.read().lower()
+
+# apply preprocessing (remove text inside square and curly brackets and rem punc)
+train_text = re.sub(r"\[.*\]|\{.*\}", "", train_text)
+train_text = re.sub(r'[^\w\s]', "", train_text)
+
+# set ngram number
+n = 4
+
+# pad the text and tokenize
+training_data = list(pad_sequence(word_tokenize(train_text), n, 
+                                pad_left=True, 
+                                left_pad_symbol="<s>"))
+
+# generate ngrams
+ngrams = list(everygrams(training_data, max_len=n))
+print("Number of ngrams:", len(ngrams))
+
+# build ngram language models
+model = WittenBellInterpolated(n)
+model.fit([ngrams], vocabulary_text=training_data)
+print(model.vocab)
+
+# testing data file
+test_data_file = ""
+
+# Read testing data
+with open(test_data_file) as f:
+    test_text = f.read().lower()
+test_text = re.sub(r'[^\w\s]', "", test_text)
+
+# Tokenize and pad the text
+testing_data = list(pad_sequence(word_tokenize(test_text), n, 
+                                pad_left=True,
+                                left_pad_symbol="<s>"))
+print("Length of test data:", len(testing_data))
+
+# assign scores
+scores = []
+for i, item in enumerate(testing_data[n-1:]):
+    s = model.score(item, testing_data[i:i+n-1])
+    scores.append(s)
+
+scores_np = np.array(scores)
+
+# set width and height
+width = 8
+height = np.ceil(len(testing_data)/width).astype("int32")
+print("Width, Height:", width, ",", height)
+
+# copy scores to rectangular blank array
+a = np.zeros(width*height)
+a[:len(scores_np)] = scores_np
+diff = len(a) - len(scores_np)
+
+# apply gaussian smoothing for aesthetics
+a = gaussian_filter(a, sigma=1.0)
+
+# reshape to fit rectangle
+a = a.reshape(-1, width)
+
+# format labels
+labels = [" ".join(testing_data[i:i+width]) for i in range(n-1, len(testing_data), width)]
+labels_individual = [x.split() for x in labels]
+labels_individual[-1] += [""]*diff
+labels = [f"{x:60.60}" for x in labels]
+
+# create heatmap
+fig = go.Figure(data=go.Heatmap(
+                z=a, x0=0, dx=1,
+                y=labels, zmin=0, zmax=1,
+                customdata=labels_individual,
+                hovertemplate='%{customdata} <br><b>Score:%{z:.3f}<extra></extra>',
+                colorscale="burg"))
+fig.update_layout({"height":height*28, "width":1000, "font":{"family":"Courier New"}})
+fig['layout']['yaxis']['autorange'] = "reversed"
+fig.show()

README.MD

@@ -1,5 +1,5 @@
 # Introduction:
-_`Last Updated: May 04' 2021`_
+_`Last Updated: May 13' 2021`_
 
 Here are programs that every budding programmer who is learning to code in Python should start with. These programs are a compilation of many different types of programs and levels of programming you should try. You can use the table in "Order Of Programs" file to find the order in which it is best to program in.