[pull] master from avinashkranjan:master

Age-Calculator-GUI/README.md

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+# Age Calculator GUI
+
+In this age calculator app, users can type in their date of birth, and the app will calculate and display their age. 
+
+## Step 1:
+
+First of all, we need to import two libraries into our code. The first one is the *tkinter* library. Then, we need the *datetime* library to work with dates.
+
+## Step 2:
+
+Now, let’s create a simple window for our app and name it as *Age Calculator*.
+
+## Step 3:
+
+Then, we are going to create four labels, each for the name, year, month, and the date, and put them in the grid.
+
+We will create entry fields to get the user inputs corresponding to all the labels created. Put them at the right side of the corresponding labels using the *grid* method.
+
+## Step 4:
+
+Then, we are going to define a function, which will calculate the age of the user by subtracting the user’s birth date from today’s date. We name that function as `ageCalc()`. 
+
+Then, we create a `Label` area that will display the age of the user as output in the function itself.
+
+## Step 5:
+
+Then, we are going to create a button for users to submit their input values. We link the button to the `ageCalc` function.
+
+Finally, let’s run everything inside the window using the `mainloop()` method.

Age-Calculator-GUI/age_calc_gui.py

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+# import libraries
+from tkinter import *
+from datetime import date
+
+# initialized window
+root = Tk()
+root.geometry('280x300')
+root.resizable(0,0)
+root.title('Age Calculator')
+statement = Label(root)
+
+# defining the function for calculating age
+def ageCalc():
+    global statement
+    statement.destroy()
+    today = date.today()
+    birthDate = date(int(yearEntry.get()), int(monthEntry.get()), int(dayEntry.get()))
+    age = today.year - birthDate.year
+    if today.month < birthDate.month or today.month == birthDate.month and today.day < birthDate.day:
+        age -= 1
+    statement = Label(text=f"{nameValue.get()}'s age is {age}.")
+    statement.grid(row=6, column=1, pady=15)
+
+# creating a label for person's name to display
+l1 = Label(text = "Name: ")
+l1.grid(row=1, column=0)
+nameValue = StringVar()
+
+# creating a entry box for input
+nameEntry = Entry(root, textvariable=nameValue)
+nameEntry.grid(row=1, column=1, padx=10, pady=10)
+
+# label for year in which user was born
+l2 = Label(text = "Year: ")
+l2.grid(row=2, column=0)
+yearValue = StringVar()
+yearEntry = Entry(root, textvariable=yearValue)
+yearEntry.grid(row=2, column=1, padx=10, pady=10)
+
+# label for month in which user was born
+l3 = Label(text = "Month: ")
+l3.grid(row=3, column=0)
+monthValue = StringVar()
+monthEntry = Entry(root, textvariable=monthValue)
+monthEntry.grid(row=3, column=1, padx=10, pady=10)
+
+# label for day/date on which user was born
+l4 = Label(text = "Day: ")
+l4.grid(row=4, column=0)
+dayValue = StringVar()
+dayEntry = Entry(root, textvariable=dayValue)
+dayEntry.grid(row=4, column=1, padx=10, pady=10)
+
+# create a button for calculating age
+button = Button(text="Calculate age", command=ageCalc)
+button.grid(row=5, column=1)
+
+# infinite loop to run program
+root.mainloop()

Automate Facebook bot/Readme.md

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+# <b>Automate Facebook bot</b>
+
+[![forthebadge](https://forthebadge.com/images/badges/made-with-python.svg)](https://forthebadge.com)
+
+## Automate Facebook bot Functionalities : 🚀
+
+- On running the script it posts your message in the groups whose id is given by the user
+
+## Automate Facebook bot Instructions: 👨🏻‍💻
+
+### Step 1:
+
+    Open Termnial 💻
+
+### Step 2:
+
+    Locate to the directory where python file is located 📂
+
+### Step 3:
+
+    Run the command: python script.py/python3 script.py 🧐
+
+### Step 4:
+
+    Sit back and Relax. Let the Script do the Job. ☕
+
+### Requirements
+
+    - pyautogui
+    - time
+
+## Author
+
+   Amit Kumar Mishra
+

Automate Facebook bot/script.py

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+import pyautogui
+import time
+import webbrowser
+from selenium import webdriver
+from time import sleep
+from webdriver_manager.chrome import ChromeDriverManager
+from getpass import getpass
+
+
+LOGIN_URL = 'https://www.facebook.com/login.php'
+num = str (input ("Enter group ids separated by commas: "))
+lists = num.split (",")
+groupid = []
+for i in lists:
+	groupid.append(i)
+
+
+message=input("Enter your message: ")
+
+class FacebookLogin():
+    def __init__(self, email, password, browser='Chrome'):
+        # Store credentials for login
+        self.email = email
+        self.password = password
+        if browser == 'Chrome':
+            # Use chrome
+            self.driver = webdriver.Chrome(executable_path=ChromeDriverManager().install())
+        self.driver.get(LOGIN_URL)
+        time.sleep(1) # Wait for some time to load
+
+
+    def login(self):
+        email_element = self.driver.find_element_by_id('email')
+        email_element.send_keys(self.email) # Give keyboard input
+
+        password_element = self.driver.find_element_by_id('pass')
+        password_element.send_keys(self.password) # Give password as input too
+
+        login_button = self.driver.find_element_by_id('loginbutton')
+        login_button.click() # Send mouse click
+
+        time.sleep(2) # Wait for 2 seconds for the page to show up
+
+        for i in range(len(groupid)):
+            link = 'https://facebook.com/groups/'+groupid[i]
+            self.driver.get(link)
+            print("Waiting for few seconds .......")
+            time.sleep(45)
+            self.driver.find_element_by_class_name('a8c37x1j ni8dbmo4 stjgntxs l9j0dhe7').click()
+            time.sleep(7)
+
+            self.driver.switch_to.active_element.send_keys("message")
+            time.sleep(7)
+
+            self.driver.find_element_by_class_name('a8c37x1j ni8dbmo4 stjgntxs l9j0dhe7 ltmttdrg g0qnabr5').click()
+            time.sleep(7)
+
+
+if __name__ == '__main__':
+    # Enter your login credentials here
+    usr=input('Enter Email Id:') 
+    pwd= getpass('Enter Password:') 
+    fb_login = FacebookLogin(email=usr, password=pwd, browser='Chrome')
+    fb_login.login()
+
+#time.sleep(5)
+
+

Bag of words model/README.md

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+# Package/Script Name
+
+-->Package installed- NLKT
+- NLTK stands for 'Natural Language Tool Kit'. It consists of the most common algorithms such as tokenizing, part-of-speech tagging, stemming, sentiment analysis, topic segmentation, and named entity recognition. NLTK helps the computer to analysis, preprocess, and understand the written text.
+
+--> Pandas
+- pandas is a library where your data can be stored, analyzed and processed in row and column representation
+
+--> from sklearn.feature_extraction.text import CountVectorizer
+- Scikit-learn's CountVectorizer is used to convert a collection of text documents to a vector of term/token counts. It also enables the ​pre-processing of text data prior to generating the vector representation. This functionality makes it a highly flexible feature representation module for text.
+
+## Setup instructions
+
+1) Input the sentences you would like to vectorize.
+2) The script will tokenize the sentences.
+3) It will transform the text to vectors where each word and its count is a feature.
+4) Then the bag of word model is ready.
+5) create dataframe where dataFrame is an analogy to excel-spreadsheet.
+6) Open excel and check the 'bowp.xlsx' where sheet name is 'data'. The dataframe will be stored over there.
+
+
+## Output
+
+![Image](https://i.postimg.cc/pLQq8Vdc/output.png)
+
+## Author(s)
+
+- This code is written by [Sanya Devansh Zaveri](https://github.com/zaverisanya)
+
+## Disclaimers, if any
+
+There are no disclaimers for this script.

Bag of words model/bow.py

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+from sklearn.feature_extraction.text import CountVectorizer
+import nltk
+import pandas as pd #pandas is a library where your data can be stored, analyzed and processed in row and column representation
+from openpyxl import Workbook
+sentences=input("Enter your sentences: ")
+#eg. My name is sanya. I am caring and loving. I am generous.
+#converting to lower case (normalization)
+sentences=sentences.lower()
+#sentence tokenized
+tokenized_sentences=nltk.tokenize.sent_tokenize(sentences)
+print(tokenized_sentences)
+tokenized_sentences1=[]
+for x in tokenized_sentences:
+    x=x.replace(".","") #removed .
+    tokenized_sentences1.append(x)
+print(tokenized_sentences1) #list of word can be converted to set to get unique words
+#instantiating CountVectorizer()
+countVectorizer=CountVectorizer() #BOW
+#transforming text from to vectors where each word and its count is a feature
+tmpbow=countVectorizer.fit_transform(tokenized_sentences1)#pass list of sentences as arguments
+print("tmpbow \n",tmpbow) #bag of word model is ready
+
+bow=tmpbow.toarray()
+print("Vocabulary = ",countVectorizer.vocabulary_)
+print("Features = ",countVectorizer.get_feature_names())
+#Features in machine learning are nothing but names of the columns
+print("BOW ",bow)
+
+#create dataframe  #DataFrame is an analogy to excel-spreadsheet
+cv_dataframe=pd.DataFrame(bow,columns=countVectorizer.get_feature_names())
+
+print("cv_dataframe is below\n",cv_dataframe)
+cv_dataframe.to_excel('./Bag of words model/bowp.xlsx', sheet_name='data')

Codechef Scrapper/README.md

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+# Codechef Scraper
+This python script will let the user to scrape 'n' number of codechef problems from any category/difficulty in https://www.codechef.com/ ,as provided by the user. The functionality of the script is to gain the information regarding particular codechef problem in different PDFs.
+
+
+## Prerequisite Steps:
+Download the required packages from the following command in you terminal.(Make sure you're in the same project directory) 
+
+```
+pip3 install -r requirements.txt
+
+```
+
+To run this script,you need to have selenium installed and configure webdriver to use chrome browser in your`$PATH`.You can directly download chrome driver from the link below-
+https://chromedriver.chromium.org/downloads
+Further,you can set the path to chromedriver using
+
+```
+driver = webdriver.chrome("/usr/lib/chromium-browser/chromedriver") 
+
+```
+
+
+
+## Running the script:
+After installing all the requirements,run this command in your terminal.
+
+```
+python3 codechef.py
+
+```
+
+## Output:
+This script will generate 'n' number of different PDFs in a folder to store the problem information (problem title,problem statement,test cases,problem link) separately.
+
+![image](https://user-images.githubusercontent.com/30191221/113629602-46a4ff80-9684-11eb-8938-c6e8f934d3ae.png)
+
+![image](https://user-images.githubusercontent.com/30191221/113629697-64726480-9684-11eb-9d14-3b1ac515d40e.png)
+
+Author:
+[Smriti Raina](https://github.com/smriti26raina)