Create task1

ManaswiniPeddi/task1.py

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+mport requests
+
+def get_weather_data(api_key, city_name):
+ url = f"http://api.openweathermap.org/data/2.5/weather?q={city_name}&appid={api_key}&units=metric"
+ response = requests.get(url)
+ data = response.json()
+ return data
+
+def display_current_weather(data):
+ print("Current Weather Conditions:")
+ print("---------------------------")
+ print(f"Weather: {data['weather'][0]['description']}")
+ print(f"Temperature: {data['main']['temp']}°C")
+ print(f"Humidity: {data['main']['humidity']}%")
+ print(f"Wind Speed: {data['wind']['speed']} m/s")
+
+def get_forecast(api_key, city_name):
+ url = f"http://api.openweathermap.org/data/2.5/forecast?q={city_name}&appid={api_key}&units=metric"
+ response = requests.get(url)
+ data = response.json()
+ return data
+
+def display_forecast(data):
+ print("\nWeather Forecast for the next 5 days:")
+ print("-------------------------------------")
+ for forecast in data['list']:
+ print(f"Date: {forecast['dt_txt']}")
+ print(f"Weather: {forecast['weather'][0]['description']}")
+ print(f"Temperature: {forecast['main']['temp']}°C")
+ print("")
+
+def main():
+ api_key = 'b73f861c9b47fe465e680a5d330e01eb' 
+ city_name = input("Enter city name: ")
+
+ current_weather_data = get_weather_data(api_key, city_name)
+ display_current_weather(current_weather_data)
+
+ forecast_data = get_forecast(api_key, city_name)
+ display_forecast(forecast_data)
+
+if _name_ == "_main_":
+ main()

MeghanaK/output1.csv

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+Title
+S,e,a,r,c,h, ,c,o,d,e,",", ,r,e,p,o,s,i,t,o,r,i,e,s,",", ,u,s,e,r,s,",", ,i,s,s,u,e,s,",", ,p,u,l,l, ,r,e,q,u,e,s,t,s,.,.,.
+P,r,o,v,i,d,e, ,f,e,e,d,b,a,c,k
+S,a,v,e,d, ,s,e,a,r,c,h,e,s
+L,e,t,’,s, ,b,u,i,l,d, ,f,r,o,m, ,h,e,r,e

MeghanaK/task1.py

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+import requests
+
+def get_weather_data(api_key, city_name):
+ url = f"http://api.openweathermap.org/data/2.5/weather?q={city_name}&appid={api_key}&units=metric"
+ response = requests.get(url)
+ data = response.json()
+ return data
+
+def display_current_weather(data):
+ print("Current Weather Conditions:")
+ print("---------------------------")
+ print(f"Weather: {data['weather'][0]['description']}")
+ print(f"Temperature: {data['main']['temp']}°C")
+ print(f"Humidity: {data['main']['humidity']}%")
+ print(f"Wind Speed: {data['wind']['speed']} m/s")
+
+def get_forecast(api_key, city_name):
+ url = f"http://api.openweathermap.org/data/2.5/forecast?q={city_name}&appid={api_key}&units=metric"
+ response = requests.get(url)
+ data = response.json()
+ return data
+
+def display_forecast(data):
+ print("\nWeather Forecast for the next 5 days:")
+ print("-------------------------------------")
+ for forecast in data['list']:
+ print(f"Date: {forecast['dt_txt']}")
+ print(f"Weather: {forecast['weather'][0]['description']}")
+ print(f"Temperature: {forecast['main']['temp']}°C")
+ print("")
+
+def main():
+ api_key = 'b73f861c9b47fe465e680a5d330e01eb' 
+ city_name = input("Enter city name: ")
+
+ current_weather_data = get_weather_data(api_key, city_name)
+ display_current_weather(current_weather_data)
+
+ forecast_data = get_forecast(api_key, city_name)
+ display_forecast(forecast_data)
+
+if __name__ == "__main__":
+ main()

MeghanaK/task2.py

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+import requests
+from bs4 import BeautifulSoup
+import csv
+import json
+
+def scrape_website(url):
+ # Send a GET request to the URL
+ response = requests.get(url)
+
+ # Parse HTML content
+ soup = BeautifulSoup(response.text, 'html.parser')
+
+ titles = [title.text.strip() for title in soup.find_all('h1')]
+
+ return titles
+
+def save_to_csv(data, filename):
+ # Write data to a CSV file
+ with open(filename, 'w', newline='', encoding='utf-8') as csvfile:
+ writer = csv.writer(csvfile)
+ writer.writerow(['Title'])
+ writer.writerows(data)
+
+def save_to_json(data, filename):
+ # Write data to a JSON file
+ with open(filename, 'w', encoding='utf-8') as jsonfile:
+ json.dump(data, jsonfile, indent=4)
+
+def main( ):
+ url = input("Enter the URL of the website you want to scrape: ")
+
+
+ output_format = input("Enter 'csv' or 'json' to choose the output format: ").lower()
+ if output_format not in ['csv','json']:
+ print("Invalid output format. Please enter 'csv' or 'json'.")
+ return
+ extracted_data = scrape_website(url)
+ if output_format == 'csv':
+ filename = input("Enter the filename to store the data (without extension): ") + '.csv'
+ save_to_csv(extracted_data, filename)
+ print(f"Data has been saved to {filename}")
+ elif output_format == 'json':
+ filename = input("Enter the filename to store the data (without extension): ") + '.json'
+ save_to_json(extracted_data, filename)
+ print(f"Data has been saved to {filename}")
+if __name__ == "__main__":
+ main()
+

MeghanaK/task3.py

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+import nltk
+from nltk.chat.util import Chat, reflections
+
+# Define patterns and responses
+patterns = [
+ (r'hi|hello|hey', ['Hello!', 'Hi there!', 'Hey!']),
+ (r'how are you?', ["I'm doing well, thank you!", "I'm great, thanks for asking!"]),
+ (r'what is your name?', ["I'm just a simple chatbot.", "I'm a chatbot designed to assist you."]),
+ (r'bye|goodbye', ["Goodbye!", "See you later!", "Bye!"]),
+ # Add more patterns and responses as needed
+]
+
+# Create a chatbot
+chatbot = Chat(patterns, reflections)
+
+# Define a function to chat with the user
+def chat():
+ print("Hello! How can I assist you today?")
+ while True:
+ user_input = input("> ")
+ response = chatbot.respond(user_input)
+ print(response)
+ if user_input.lower() == 'bye':
+ break
+
+# Start the chat
+if __name__ == "__main__":
+ chat()

MeghanaK/task4.py

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+import PyPDF2
+import os
+
+def merge_pdfs(input_paths, output_path):
+ pdf_writer = PyPDF2.PdfWriter()
+
+ for path in input_paths:
+ pdf_reader = PyPDF2.PdfReader(path)
+ for page in pdf_reader.pages:
+ pdf_writer.add_page(page)
+
+ with open(output_path, 'wb') as out_pdf:
+ pdf_writer.write(out_pdf)
+
+def split_pdf(input_path, output_folder):
+ pdf_reader = PyPDF2.PdfReader(input_path)
+
+ for i, page in enumerate(pdf_reader.pages):
+ pdf_writer = PyPDF2.PdfWriter()
+ pdf_writer.add_page(page)
+
+ output_path = os.path.join(output_folder, f'page_{i+1}.pdf')
+ with open(output_path, 'wb') as out_pdf:
+ pdf_writer.write(out_pdf)
+
+# Example usage:
+# Merge PDFs
+input_files = ['file1.pdf', 'file2.pdf']
+output_merged = 'merged.pdf'
+merge_pdfs(input_files, output_merged)
+
+# Split PDF
+input_pdf = 'large_file.pdf'
+output_folder = 'split_pages'
+split_pdf(input_pdf, output_folder)