Merge branch 'avinashkranjan:master' into master

Author: Abhishek-Rajput-81

Age_Calculator/Age_Calculator.py

@@ -0,0 +1,47 @@
+# importing the date module from the datetime package  
+from datetime import date  
+
+# defining a function calculate the age  
+def calculate_age(birthday):  
+
+    # using the today() to retrieve today's date and stored it in a variable  
+    today = date.today()  
+
+    # a bool representing if today's day, or month precedes the birth day, or month  
+    day_check = ((today.month, today.day) < (birthday.month, birthday.day))  
+
+    # calculating the difference between the current year and birth year  
+    year_diff  = today.year - birthday.year  
+
+    # The difference in years is not enough.  
+    # We must subtract 0 or 1 based on if today precedes the   
+    # birthday's month/day from the year difference to get it correct.      
+    # we will subtract the 'day_check' boolean from 'year_diff'.  
+    # The boolean value will be converted from True to 1 and False to 0 under the hood.  
+    age_in_years = year_diff - day_check  
+
+    # calculating the remaining months  
+    remaining_months = abs(today.month - birthday.month)  
+
+    # calculating the remaining days  
+    remaining_days = abs(today.day - birthday.day)  
+
+    # printing the age for the users  
+    print("Age:", age_in_years, "Years", remaining_months, "Months and", remaining_days, "days")  
+
+# main function  
+if __name__ == "__main__":  
+
+    # printing an opening statement  
+    print("Simple Age Calculator")  
+
+    # asking user to enter birth year, birth month, and birth date  
+    birthYear = int(input("Enter the birth year: "))  
+    birthMonth = int(input("Enter the birth month: "))  
+    birthDay = int(input("Enter the birth day: "))  
+
+    # converting integer values to date format using the date() method  
+    dateOfBirth = date(birthYear, birthMonth, birthDay)  
+
+    # calling the function to calculate the age of a person  
+    calculate_age(dateOfBirth) 

Age_Calculator/README.md

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+   **Age_Calculator**
+
+
+
+**Step1:**  
+
+First of all, we need to import two libraries into our code. The first one is the time and date
+
+**Step2:**  
+
+Now, just use Age_Calculator.py code run it on online r any complier 
+
+**Step3:**
+
+It will frist your date of birth year!
+
+**Step4:** 
+
+Then it will ask your birth month!
+
+**Step5:** 
+
+Then it will ask your birth day!
+
+**Step6:**  
+
+Finally it will just a date of you enterted and current date and time it will print the the years and months days!
+
+**conclusion:** 
+
+It is useful to Calculate birthdays in years!

CustomTkinter-GUI/SignUP_page/README.md

@@ -0,0 +1,3 @@
+## SIGN UP GUI PAGE
+
+To run the code, you need to specify the file paths where the username and password will be stored in a .txt format. Once you have set the file paths correctly, you can simply run the program.

CustomTkinter-GUI/SignUP_page/SignUP.py

@@ -0,0 +1,80 @@
+import tkinter as tk
+import tkinter.messagebox
+from tkinter import PhotoImage
+from tkinter import messagebox
+from tkinter.font import Font
+import customtkinter
+from PIL import Image, ImageTk
+
+customtkinter.set_appearance_mode("dark")
+
+def check_credentials(username, password):
+    # Read the stored usernames and passwords from text files
+    with open('File Path Where username is stored', 'r') as f_username, open('File Path where password is stored', 'r') as f_password:
+        stored_usernames = f_username.read().splitlines()
+        stored_passwords = f_password.read().splitlines()
+
+    # Check if the entered credentials match any of the stored values
+    for stored_username, stored_password in zip(stored_usernames, stored_passwords):
+        if username == stored_username and password == stored_password:
+            return True
+
+    return False
+
+
+class Login(customtkinter.CTk):
+    width = 1240  #helps in image width
+    height = 1080 #helps in image height
+    def __init__(self):
+        super().__init__()
+
+        # OPENEING WINDOW SIZE
+        self.title("Login")
+        self.geometry(f"{1240}x{720}")
+        # IMAGE ADDITION IN BACKGROUND
+        # self.bg_image = customtkinter.CTkImage(Image.open("Image Path"),size=(self.width, self.height))
+        # self.bg_image_label = customtkinter.CTkLabel(self, image=self.bg_image)
+        # self.bg_image_label.grid(row=0, column=0)
+
+        # LOGIN FRAME INSIDE WINDOW
+        # TEXT : "Welcome!\nUnified Travelling & Transport System"
+        self.login_frame = customtkinter.CTkFrame(self, corner_radius=15)
+        self.login_frame.grid(row=0, column=0, sticky="ns")
+        self.login_label = customtkinter.CTkLabel(self.login_frame, text="Welcome!\nTo lOIGN pAGE",font=customtkinter.CTkFont(size=24, weight="bold", slant="roman", family="Helvetica"))
+        self.login_label.grid(row=0, column=0, padx=30, pady=(150, 15))
+
+        #TEXT : LOGIN PAGE
+        self.login_label_2 = customtkinter.CTkLabel(self.login_frame, text="Login Page",font=customtkinter.CTkFont(size=40, weight="bold"))
+        self.login_label_2.grid(row=1, column=0, padx=30, pady=(50, 15))
+        
+        #TEXT : USERNAME
+        self.username_entry = customtkinter.CTkEntry(self.login_frame, width=300, placeholder_text="Username")
+        self.username_entry.grid(row=2, column=0, padx=30, pady=(15, 15))
+        
+        #TEXT : PASSWORD
+        self.password_entry = customtkinter.CTkEntry(self.login_frame, width=300, show="*", placeholder_text="Password")
+        self.password_entry.grid(row=3, column=0, padx=30, pady=(0, 15))
+        
+        #TEXT : LOGIN BUTTON TEXT
+        self.login_button = customtkinter.CTkButton(self.login_frame, text="Login", command=self.login_event, width=200)
+        self.login_button.grid(row=4, column=0, padx=30, pady=(15, 15))
+
+    def login_event(self):
+        
+        entered_username = self.username_entry.get()
+        entered_password = self.password_entry.get()
+
+        QueryCheckForPassword=sql.Query_LoginCheck(entered_username, entered_password)
+
+        if QueryCheckForPassword:
+            self.destroy()            
+
+        else:
+            print("error")
+            return messagebox.showerror('Error','Incorrect Username or Password')
+        
+        print("Login pressed - username:", entered_username, "password:",entered_password)
+
+if __name__ == "__main__":
+    app9 = Login()
+    app9.mainloop()

Data-Visualization/LineChart/line_chart.py

@@ -1,26 +1,31 @@
 import plotly.graph_objects as go
 import numpy as np
 
-np.random.seed(42)
+def create_line_chart(x_data, y_data):
+    fig = go.Figure(data=go.Scatter(x=x_data, y=y_data))
 
-# declaring size of arr
-size = 7
+    # Modifying the tickangle of the xaxis, and adjusting width and height of the image
+    fig.layout.template = 'plotly_dark'
+    fig.update_layout(
+        title='Line Chart',
+        xaxis_title='X Axis Title',
+        yaxis_title='Y Axis Title',
+        xaxis_tickangle=-45,
+        autosize=False,
+        width=600,
+        height=600,
+        margin=dict(l=50, r=50, b=100, t=100, pad=4)
+    )
+    fig.show()
 
-x = np.arange(10)
-y = x ** 2
+if __name__ == "__main__":
+    np.random.seed(42)
 
-fig = go.Figure(data=go.Scatter(x=x, y=x**2))
+    # Generating sample data
+    x_data = np.arange(10)
+    y_data = x_data ** 2
 
-# Modifying the tickangle of the xaxis, and adjusting width and height of the image
-fig.layout.template = 'plotly_dark'
-fig.update_layout(
-    title='Line Chart',
-    xaxis_title='X Axis Title',
-    yaxis_title='Y Axis Title',
-    xaxis_tickangle=-45,
-    autosize=False,
-    width=600,
-    height=600,
-    margin=dict(l=50, r=50, b=100, t=100, pad=4)
-)
-fig.show()
+    try:
+        create_line_chart(x_data, y_data)
+    except Exception as e:
+        print("An error occurred:", str(e))

Face_Detection_using_openCV/README.md

@@ -0,0 +1,12 @@
+# Face-Detection-using-OpenCV
+This program helps to detect any moving objects in the frame which further hepls us to understand if any object is moving out of the frame or not.
+
+# Prerequisites
+Any System with a working webcam
+Any System having Python version 3 installed
+
+# Dependencies
+Installed Pandas module
+Installed cv2 module
+Imported time module
+imported Datetime module

Face_Detection_using_openCV/script.py

@@ -0,0 +1,57 @@
+
+import time
+from datetime import datetime
+
+import cv2
+import pandas
+
+video=cv2.VideoCapture(0)
+first_frame=None
+status_list=[None,None]
+time=[]
+df=pandas.DataFrame(columns=["Start","End"])
+cnts= [[0,0], [255,0], [255,255], [0,255]]
+while True:
+    check, frame = video.read()
+    status=0
+    gray=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
+    gray=cv2.GaussianBlur(gray,(21,21),0)
+    if first_frame is None:
+        first_frame=gray
+        continue
+    delta_frame=cv2.absdiff(first_frame,gray)
+    thresh_data=cv2.threshold(delta_frame,30,255,cv2.THRESH_BINARY)[1]
+    thresh_delta=cv2.dilate(thresh_data,None,iterations=5)
+    (cnts,_) =cv2.findContours(thresh_data.copy(),cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
+    for contour in cnts:
+        if cv2.contourArea(contour)<10000:
+            continue
+        status=1
+        (x,y,w,h)=cv2.boundingRect(contour)
+        cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),3)
+    status_list.append(status)
+    if status_list[-1]==1 and status_list[-2]==0:
+        time.append(datetime.now())
+    if status_list[-1]==0 and status_list[-2]==1:
+        time.append(datetime.now())
+    cv2.imshow("Capturing", gray)
+    cv2.imshow("Delta Frame",delta_frame)
+    cv2.imshow("Threshold Frame",thresh_data)
+    cv2.imshow("Colour Frame",frame)
+
+    
+    key=cv2.waitKey(1)
+    if key==ord('q'):
+        if status==1:
+            time.append(datetime.now())
+        break
+
+
+print(time)
+for i in range(0,len(time),2):
+    df=df.append({"Start":time[i],"End":time[i+1]},ignore_index=True)
+df.to_csv("Times.csv")
+
+video.release()
+cv2.destroyAllWindows
+

Flipkart_webscraping/Scrap.py

@@ -0,0 +1,51 @@
+import pandas as pd
+import requests
+from bs4 import BeautifulSoup
+
+Product_name=[]
+Prices=[]
+Description=[]
+Reviews=[]
+
+for i in range(2,43):
+    #url="https://www.flipkart.com"
+    url="https://www.flipkart.com/search?q=MOBILE+PHONE+UNDER+50000&otracker=search&otracker1=search&marketplace=FLIPKART&as-show=on&as=off&page="+str(2)
+
+    r=requests.get(url)
+    soup=BeautifulSoup(r.text,"lxml")
+
+    box=soup.find("div",class_="_1YokD2 _3Mn1Gg")
+    names=box.find_all("div",class_="_4rR01T")
+
+    #scraping data  1.product name
+    for i in names:
+        name=i.text
+        Product_name.append(name)
+    
+    #2.prices 
+    prices=box.find_all("div",class_="_30jeq3 _1_WHN1")
+    for i in prices:
+        name=i.text
+        Prices.append(name)
+    
+    #3.description
+    desc=box.find_all("ul",class_="_1xgFaf")
+    for i in desc:
+        name=i.text
+        Description.append(name)
+
+    #4.reviews
+    revi=box.find_all("div",class_="_3LWZlK")
+    for i in revi:
+        name=i.text
+        Reviews.append(name)
+ 
+    #data frame
+    df=pd.DataFrame({"Product Name":Product_name,"Prices":Prices,"Description":Description,"Reviews":Reviews})
+    #print(df)
+
+#DF TO CSV
+df.to_csv("filpkart-Scraping-under-50k.csv")
+
+    
+

Flipkart_webscraping/Steps.txt

@@ -0,0 +1,51 @@
+                                                        WEB SCRAPING
+
+We are doing web scraping of filpkart with Python, which will let us analyse the data from a specific website and store it in many formats such as CSV, txt, excell, and so on. 
+this data can use for various reasons  like for sentiment analyse and want to know specific review from multiple user.
+
+-<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<   STEPS   <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<
+
+STEP 1;
+We are request to "flipkart" for scraping the data.
+requests.get :- function is use becoz to know the status code. request to flipkart from fetching the data in form of html
+response 200:- we can succesfully get the data in form web.
+
+STEP 2:
+(i)=know how to deal with multiple pages :
+(ii)=format use-LXML = allows for easy handling of XML and HTML files, and can also be used for web scraping.
+(iii)=get the html of web in you vs or local so that u can work on it.
+(iv)=as their are many pages realted to SINGLE so now fetch data form multiple pages
+        -try to find ancare tag <a> in the html of page
+        -not for 2,3 just for NEXT page.
+            -we have to find a tag of particular tag and for link href and print that.
+            -in href there is link without the 'https' so to get we just add
+             cnp="https://www.flipkart.com"+np
+
+(v)=so for web scrap we have to fetch the link of all pages its time taking process so we create a loop for this procces which fetch all link for us.
+        now we will use for loop to fetch data
+        for i in range(1(start),10(end))             
+        to move multiple pages we have to use in last of link + [srt(i)]
+
+(vi)=Decide want data want to scrap like:-
+        -product name ,prize, reveiws ,description.
+        -create list for every indivdual info.
+            -Product_name=[]
+            -Prices=[]
+            -Description=[]
+            -Reviews=[]
+
+(vii)=now create a function for each info what u want to fetch and store that data into realted list.
+        revi=soup.find_all("div",class_="_3LWZlK")
+        for i in revi:
+            name=i.text
+            Reviews.append(name)
+        print(Reviews)
+        similarly do for all the list 
+(viii)=point to remember that we are scraping data form parcticluar box or area so we have to specify that area making variable BOX.
+(xi)=now create the datafarme with the help of pandas pf.DATAFRAME({"key":value}) store int the form of key and value.
+    no remember that we are scraping the data for multiple pages so DON'T FORGET TO RE APPLY THE FOR LOOP AND THE str(i) for multiple pages.
+
+(xii)=last step to convet that data frame into csv file
+
+STEP 3
+df.to_csv("filpkart-scraping-under-50k.csv")