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This repository was archived by the owner on Jun 29, 2024. It is now read-only.

Commit e08c54e

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tasks of internship
internship of python
1 parent b5be041 commit e08c54e

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6 files changed

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‎CHETANKALE/Task 1/Weather App.py‎

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import requests
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import matplotlib.pyplot as plt
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from datetime import datetime
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API_KEY = '7136d46d4edf4c9bbcf124053242205'
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BASE_URL = 'http://api.weatherapi.com/v1/'
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def get_weather_data(city):
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current_weather_url = f"{BASE_URL}current.json?key={API_KEY}&q={city}"
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forecast_url = f"{BASE_URL}forecast.json?key={API_KEY}&q={city}&days=5"
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current_weather_response = requests.get(current_weather_url)
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forecast_response = requests.get(forecast_url)
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if current_weather_response.status_code == 200 and forecast_response.status_code == 200:
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current_weather = current_weather_response.json()
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forecast = forecast_response.json()
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return current_weather, forecast
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else:
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print(f"Error fetching weather data. Status codes: {current_weather_response.status_code}, {forecast_response.status_code}")
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if current_weather_response.status_code != 200:
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print(f"Current weather response: {current_weather_response.text}")
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if forecast_response.status_code != 200:
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print(f"Forecast response: {forecast_response.text}")
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return None, None
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def display_current_weather(current_weather):
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print("Current Weather:")
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location = current_weather['location']
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current = current_weather['current']
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print(f"Location: {location['name']}, {location['country']}")
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print(f"Temperature: {current['temp_c']}°C")
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print(f"Weather: {current['condition']['text']}")
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print(f"Humidity: {current['humidity']}%")
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print(f"Wind Speed: {current['wind_kph']} kph")
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print("-" * 40)
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def display_forecast(forecast):
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print("5-Day Forecast:")
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forecast_days = forecast['forecast']['forecastday']
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for day in forecast_days:
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date = day['date']
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day_info = day['day']
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temp = day_info['avgtemp_c']
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weather = day_info['condition']['text']
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print(f"{date}: {temp}°C, {weather}")
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print("-" * 40)
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def plot_temperature_trends(forecast):
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dates = []
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temps = []
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forecast_days = forecast['forecast']['forecastday']
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for day in forecast_days:
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date = datetime.strptime(day['date'], '%Y-%m-%d')
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temp = day['day']['avgtemp_c']
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dates.append(date)
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temps.append(temp)
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plt.figure(figsize=(10, 5))
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plt.plot(dates, temps, marker='o', linestyle='-', color='b')
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plt.title('Temperature Trends Over Next 5 Days')
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plt.xlabel('Date')
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plt.ylabel('Temperature (°C)')
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plt.grid(True)
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plt.show()
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def main():
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city = input("Enter the city name: ")
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current_weather, forecast = get_weather_data(city)
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if current_weather and forecast:
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display_current_weather(current_weather)
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display_forecast(forecast)
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plot_temperature_trends(forecast)
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else:
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print("Could not retrieve weather data.")
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if __name__ == "__main__":
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main()

‎CHETANKALE/Task 2/Web Scraper.py‎

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import requests
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from bs4 import BeautifulSoup
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import pandas as pd
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import json
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def fetch_html(url):
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"""Fetch HTML content from a given URL."""
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headers = {
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"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3"
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}
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response = requests.get(url, headers=headers)
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if response.status_code == 200:
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return response.text
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else:
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print(f"Failed to fetch the page. Status code: {response.status_code}")
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return None
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def parse_html(html):
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"""Parse HTML content and extract data."""
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soup = BeautifulSoup(html, 'html.parser')
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data = []
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# Extracting table data from Wikipedia
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table = soup.find('table', {'class': 'wikitable'})
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if table:
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headers = [header.text.strip() for header in table.find_all('th')]
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rows = table.find_all('tr')
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for row in rows[1:]: # Skip the header row
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cols = row.find_all('td')
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row_data = [col.text.strip() for col in cols]
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if row_data:
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data.append(row_data)
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return headers, data
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else:
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print("Table not found")
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return None, None
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def save_to_csv(headers, data, filename):
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"""Save data to a CSV file."""
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df = pd.DataFrame(data, columns=headers)
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df.to_csv(filename, index=False)
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print(f"Data saved to {filename}")
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def save_to_json(headers, data, filename):
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"""Save data to a JSON file."""
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data_dict = [dict(zip(headers, row)) for row in data]
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with open(filename, 'w') as json_file:
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json.dump(data_dict, json_file, indent=4)
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print(f"Data saved to {filename}")
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def main():
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url = "https://en.wikipedia.org/wiki/List_of_countries_by_population_(United_Nations)"
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html = fetch_html(url)
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if html:
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headers, data = parse_html(html)
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if headers and data:
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csv_filename = 'countries_population.csv'
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json_filename = 'countries_population.json'
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save_to_csv(headers, data, csv_filename)
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save_to_json(headers, data, json_filename)
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else:
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print("No data found to save.")
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else:
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print("Failed to retrieve HTML content.")
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if __name__ == "__main__":
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main()

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