ruff fixes

1 File handle/File handle text/question 5.py

@@ -1,7 +1,8 @@
 """Write a function in python to count the number of lowercase
 alphabets present in a text file “happy.txt"""
 
-import time, os
+import time
+import os
 from counter import Counter
 
 print("You will see the count of lowercase, uppercase and total count of alphabets in provided file..")

AutoComplete_App/frontend.py

@@ -1,5 +1,4 @@
 from tkinter import *
-from tkinter import messagebox
 import backend
 
 

Automated Scheduled Call Reminders/caller.py

@@ -1,12 +1,9 @@
 # The project automates calls for people from the firebase cloud database and the schedular keeps it running and checks for entries
 # every 1 hour using aps scedular
 # The project can be used to set 5 min before reminder calls to a set of people for doing a particular job
-import os
 from firebase_admin import credentials, firestore, initialize_app
 from datetime import datetime, timedelta
-import time
 from time import gmtime, strftime
-import twilio
 from twilio.rest import Client
 
 # twilio credentials

Automated Scheduled Call Reminders/requirements.txt

@@ -1,4 +1,4 @@
-BlockingScheduler
+APScheduler
 search
 os
 time
@@ -11,3 +11,4 @@ timedelta
 credentials
 firestore
 initialize_app
+Twilio

Bank Application .ipynb

@@ -451,7 +451,6 @@
    ],
    "source": [
     "def main():\n",
-    "    import getpass\n",
     "    print(\"-------------------\".center(100))\n",
     "    print(\"| Bank Application |\".center(100))\n",
     "    print(\"-\"*100)\n",

Chrome Dino Automater.py

@@ -1,5 +1,5 @@
 import pyautogui  # pip install pyautogui
-from PIL import Image, ImageGrab  # pip install pillow
+from PIL import ImageGrab  # pip install pillow
 
 # from numpy import asarray
 import time

CliYoutubeDownloader/CliYoutubeDownloader.py

@@ -1,7 +1,7 @@
 # libraraies
 
-import pytubefix
 import sys
+import pytube
 
 
 class YouTubeDownloder:

CliYoutubeDownloader/requirements.txt

@@ -1 +1 @@
-pytubefix
+pytube

Downloaded Files Organizer/obs.py

@@ -1,6 +1,5 @@
 def watcher(path):
     # python script to observe changes in a folder
-    import sys
     import time
     import os
     from watchdog.observers import Observer

Emoji Dictionary/emoji_dictionary.py

@@ -1,7 +1,6 @@
 # Emoji Dictionary
 
 # -----------------------------------------------------------------------------------------------------
-import io  # used for dealing with input and output
 from tkinter import *  # importing the necessary libraries
 import tkinter.messagebox as mbox
 import tkinter as tk  # imported tkinter as tk

Face_Mask_detection (haarcascade)/mask_detection.py

@@ -1,5 +1,4 @@
 import tensorflow.keras
-from PIL import Image, ImageOps
 import numpy as np
 import cv2
 

Find current weather of any city using openweathermap API.py

@@ -3,7 +3,7 @@
 # using openweathermap api 
 
 # import required modules 
-import requests, json 
+import requests
 
 # Enter your API key here 
 api_key = "Your_API_Key"

Flappy Bird - created with tkinter/Tubes.py

@@ -271,7 +271,7 @@ def move(self):
                         if x2 <= (self.__width / 2) - (self.__bird_w / 2):
 
                             # Verifica se o tubo está na lista de tubos passados
-                            if not tube[0] in self.__pastTubes:
+                            if tube[0] not in self.__pastTubes:
                                 # Chama o método para pontuar e adiciona o tubo pontuado à lista de tubos passados
                                 self.__score_method()
                                 self.__pastTubes.append(tube[0])

Hotel-Management.py

@@ -345,7 +345,7 @@ def exit_menu():
 
 try:
     menu()
-except KeyboardInterrupt as exit:
+except KeyboardInterrupt:
     print("\nexiting...!")
 
 # menu()

Image-watermarker/watermark.py

@@ -1,7 +1,6 @@
-from PIL import Image, ImageDraw, ImageFont
+from PIL import ImageDraw, ImageFont
 from customtkinter import filedialog
 from CTkMessagebox import CTkMessagebox
-import customtkinter as ctk
 
 
 class Watermark:
@@ -43,5 +42,5 @@ def save_image(self, image):
         if save_path:
             try:
                 image.save(save_path)
-            except Exception as e:
+            except Exception:
                 print("Failed to save image: {e}")

ImageDownloader/img_downloader.py

@@ -2,7 +2,9 @@
 
 
 def ImageDownloader(url):
-    import os, re, requests
+    import os
+    import re
+    import requests
 
     response = requests.get(url)
     text = response.text

JARVIS/JARVIS_2.0.py

@@ -16,13 +16,13 @@
 import pyjokes # for generating random jokes
 import requests
 import json
-from PIL import Image, ImageGrab
+from PIL import ImageGrab
 from gtts import gTTS
 
 # for 30 seconds clip "Jarvis, clip that!" and discord ctrl+k quick-move (might not come to fruition)
 from pynput import keyboard
-from pynput.keyboard import Key, Listener
-from pynput.mouse import Button, Controller
+from pynput.keyboard import Key
+from pynput.mouse import Controller
 
 # =======
 from playsound import *  # for sound output
@@ -127,7 +127,7 @@ def takecommand():
         print("Recognizing...")
         query = r.recognize_google(audio, language="en-in")
         print(f"User said {query}\n")
-    except Exception as e:
+    except Exception:
         print("Say that again please...")
         return "None"
     return query

ML House Prediction.ipynb

@@ -457,9 +457,7 @@
    "execution_count": 7,
    "metadata": {},
    "outputs": [],
-   "source": [
-    "import matplotlib.pyplot as plt"
-   ]
+   "source": []
   },
   {
    "cell_type": "code",
@@ -1424,8 +1422,6 @@
     }
    ],
    "source": [
-    "from sklearn.linear_model import LinearRegression\n",
-    "from sklearn.tree import DecisionTreeRegressor\n",
     "from sklearn.ensemble import RandomForestRegressor\n",
     "#model = LinearRegression()\n",
     "#model = DecisionTreeRegressor()\n",
@@ -1639,7 +1635,7 @@
     }
    ],
    "source": [
-    "from joblib import dump, load\n",
+    "from joblib import dump\n",
     "dump(model, 'HousingPricePredicter.joblib')"
    ]
   },

Model Usage.ipynb

@@ -6,7 +6,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from joblib import dump, load\n",
+    "from joblib import load\n",
     "import numpy as np\n",
     "model = load('HousingPricePredicter.joblib')"
    ]

News_App/Newsapp.py

@@ -1,4 +1,3 @@
-import os
 import solara as sr
 import yfinance as yf
 

Password Generator/pass_gen.py

@@ -1,6 +1,5 @@
 import string as str
 import secrets
-import random  # this is the module used to generate random numbers on your given range
 
 
 class PasswordGenerator:

QR_code_generator/qrcode.py

@@ -1,4 +1,4 @@
-import pyqrcode, png
+import pyqrcode
 # from pyqrcode import QRCode 
 # no need to import same library again and again
 

QuestionAnswerVirtualAssistant/backend.py

@@ -1,7 +1,6 @@
 import sqlite3
 import json
 import pandas as pd
-import sklearn
 from sklearn.feature_extraction.text import TfidfVectorizer
 
 class QuestionAnswerVirtualAssistant:

QuestionAnswerVirtualAssistant/frontend.py

@@ -1,5 +1,4 @@
 from tkinter import *
-from tkinter import messagebox
 import backend
 
 

Search_Engine/backend.py

@@ -1,6 +1,4 @@
 import sqlite3
-import test_data
-import ast
 import json
 
 class SearchEngine:

Search_Engine/frontend.py

@@ -1,5 +1,4 @@
 from tkinter import *
-from tkinter import messagebox
 import backend
 
 

Street_Fighter/src/main.py

@@ -1,7 +1,6 @@
 import math
 import pygame
 from pygame import mixer
-from pygame import font
 import cv2
 import numpy as np
 import os

TaskManager.py

@@ -1,4 +1,3 @@
-import datetime
 import csv
 
 def load_tasks(filename='tasks.csv'):

TaskPlanner.py

@@ -1,4 +1,3 @@
-import datetime
 import csv
 
 def load_tasks(filename='tasks.csv'):

Trending youtube videos.py

@@ -0,0 +1,43 @@
+'''
+ Python program that uses the YouTube Data API to fetch the top 10 trending YouTube videos. 
+You’ll need to have an API key from Google Cloud Platform to use the YouTube Data API.
+
+First, install the google-api-python-client library if you haven’t already: 
+pip install google-api-python-client
+
+Replace 'YOUR_API_KEY' with your actual API key. This script will fetch and print the titles, 
+channels, and view counts of the top 10 trending YouTube videos in India. 
+You can change the regionCode to any other country code if needed.
+
+Then, you can use the following code:
+
+'''
+
+from googleapiclient.discovery import build
+
+# Replace with your own API key
+API_KEY = 'YOUR_API_KEY'
+YOUTUBE_API_SERVICE_NAME = 'youtube'
+YOUTUBE_API_VERSION = 'v3'
+
+def get_trending_videos():
+    youtube = build(YOUTUBE_API_SERVICE_NAME, YOUTUBE_API_VERSION, developerKey=API_KEY)
+
+    # Call the API to get the top 10 trending videos
+    request = youtube.videos().list(
+        part='snippet,statistics',
+        chart='mostPopular',
+        regionCode='IN',  # Change this to your region code
+        maxResults=10
+    )
+    response = request.execute()
+
+    # Print the video details
+    for item in response['items']:
+        title = item['snippet']['title']
+        channel = item['snippet']['channelTitle']
+        views = item['statistics']['viewCount']
+        print(f'Title: {title}\nChannel: {channel}\nViews: {views}\n')
+
+if __name__ == '__main__':
+    get_trending_videos()

Tweet Pre-Processing.py

@@ -4,9 +4,7 @@
 # In[10]:
 
 
-import numpy as np
 from nltk.corpus import twitter_samples
-import matplotlib.pyplot as plt
 import random
 
 

VoiceAssistant/Project_Basic_struct/TextTospeech.py

@@ -1,8 +1,4 @@
-from gtts import gTTS
-from playsound import playsound
 import win32com
-from win32com import client
-import os
 
 def tts():
     audio = 'speech.mp3'

VoiceAssistant/Project_Basic_struct/dictator.py

@@ -2,7 +2,7 @@
 # from speakListen import long_hear
 from speakListen import *
 
-from colorama import Fore, Back, Style
+from colorama import Fore
 
 def big_text():
     print("By default, I will record your voice for 60 seconds.\nDo you want to change this default timing?")

VoiceAssistant/Project_Basic_struct/speakListen.py

@@ -1,7 +1,6 @@
 import time
-from colorama import Fore, Back, Style
+from colorama import Fore
 import speech_recognition as sr
-import os
 import pyttsx3
 import datetime
 from rich.progress import Progress

VoiceAssistant/Project_Basic_struct/websiteWork.py

@@ -1,4 +1,4 @@
-from speakListen import greet, hear
+from speakListen import hear
 from speakListen import speak
 
 
@@ -55,7 +55,7 @@ def wiki_search():
                 print("I could'nt understand what you just said!")
                 speak("I could'nt understand what you just said!")
 
-    except Exception as e:
+    except Exception:
         print("Couldn't find")
 
 #wiki_search()

Web_Scraper.py

@@ -4,10 +4,8 @@
 Requirements: selenium, BeautifulSoup
 """
 
-import requests
 from bs4 import BeautifulSoup
 from selenium import webdriver
-from selenium.webdriver.common.keys import Keys
 import time
 
 # url of the page we want to scrape

Wordle/wordle.py

@@ -63,7 +63,7 @@
         continue
 
     # Check if the word given by the user is in the dictionary
-    if not user_inp in dictionary:
+    if user_inp not in dictionary:
         print("Your word is not in the dictionary")
         continue