News Aggregator

Visit NewsAPI and sign up for a free API key.

Replace your_newsapi_key in the code with your actual API key.

 import requests

API_KEY = "your_newsapi_key"  # Replace with your NewsAPI key

BASE_URL = "https://newsapi.org/v2/"

def fetch_top_headlines(country="us", category="general", page_size=5):

    """

    Fetch top news headlines from NewsAPI.

    Args:

        country (str): Country code for news (default is 'us').

        category (str): Category of news (default is 'general').

        page_size (int): Number of headlines to fetch (default is 5).

    Returns:

        list: A list of dictionaries containing news headlines and details.

    """

    url = f"{BASE_URL}top-headlines"

    params = {

        "apiKey": API_KEY,

        "country": country,

        "category": category,

        "pageSize": page_size,

    }

    try:

        response = requests.get(url, params=params)

        response.raise_for_status()

        data = response.json()

        return data.get("articles", [])

    except requests.exceptions.RequestException as e:

        print(f"Error fetching news: {e}")

        return []

def display_headlines(articles):

    """

    Display news headlines in a user-friendly format.

    Args:

        articles (list): List of news articles.

    """

    if not articles:

        print("No news articles found.")

        return

    print("\n--- Latest News Headlines ---")

    for idx, article in enumerate(articles, 1):

        print(f"\n{idx}. {article['title']}")

        print(f"   Source: {article['source']['name']}")

        print(f"   URL: {article['url']}")

def main():

    print("Welcome to the News Aggregator!")

    country = input("Enter the country code for news (e.g., 'us' for USA, 'in' for India): ").strip()

    category = input("Enter the category of news (e.g., 'business', 'entertainment', 'sports'): ").strip()

    num_articles = input("How many articles would you like to fetch? (default is 5): ").strip()

    # Default values if input is empty

    country = country if country else "us"

    category = category if category else "general"

    num_articles = int(num_articles) if num_articles.isdigit() else 5

    print("\nFetching top headlines...")

    articles = fetch_top_headlines(country=country, category=category, page_size=num_articles)

    display_headlines(articles)

if __name__ == "__main__":

    main()

Stock Price Tracker

 import yfinance as yf

import matplotlib.pyplot as plt

import pandas as pd

def get_stock_data(ticker, period='1mo', interval='1d'):

    """

    Fetch stock data for a given ticker.

    Args:

        ticker (str): The stock ticker symbol.

        period (str): The time period for historical data (e.g., '1mo', '1y').

        interval (str): The interval for the data (e.g., '1d', '1h').

    Returns:

        pandas.DataFrame: Historical stock data.

    """

    try:

        stock = yf.Ticker(ticker)

        data = stock.history(period=period, interval=interval)

        return data

    except Exception as e:

        print(f"Error fetching data: {e}")

        return None

def plot_stock_data(data, ticker):

    """

    Plot stock closing price data.

    Args:

        data (pandas.DataFrame): Historical stock data.

        ticker (str): The stock ticker symbol.

    """

    if data is not None and not data.empty:

        plt.figure(figsize=(10, 6))

        plt.plot(data.index, data['Close'], label=f'{ticker} Closing Price')

        plt.title(f"{ticker} Stock Price")

        plt.xlabel("Date")

        plt.ylabel("Closing Price")

        plt.legend()

        plt.grid()

        plt.show()

    else:

        print("No data available to plot.")

def main():

    print("Welcome to the Stock Price Tracker!")

    ticker = input("Enter the stock ticker symbol (e.g., AAPL, TSLA, GOOGL): ").upper()

    period = input("Enter the time period (default is '1mo', e.g., '1d', '1y'): ") or '1mo'

    interval = input("Enter the data interval (default is '1d', e.g., '1h', '1wk'): ") or '1d'

    print("\nFetching stock data...")

    data = get_stock_data(ticker, period, interval)

    

    if data is not None and not data.empty:

        print("\nStock data fetched successfully!")

        print(data.tail())  # Display the last 5 rows of data

        plot_stock_data(data, ticker)

    else:

        print("Failed to fetch stock data. Please check the ticker symbol or try again.")

if __name__ == "__main__":

    main()

Color Palette Generator

 from PIL import Image

from sklearn.cluster import KMeans

import numpy as np

import matplotlib.pyplot as plt

def extract_colors(image_path, num_colors=5):

    """

    Extracts dominant colors from an image.

    Args:

        image_path (str): Path to the image file.

        num_colors (int): Number of dominant colors to extract.

    Returns:

        List of RGB tuples representing the dominant colors.

    """

    try:

        # Open the image and resize it for faster processing

        image = Image.open(image_path)

        image = image.resize((200, 200))  # Resize for faster processing

        image_array = np.array(image)

        # Reshape the image array to a 2D array of pixels

        pixels = image_array.reshape(-1, 3)

        # Apply KMeans clustering to find dominant colors

        kmeans = KMeans(n_clusters=num_colors, random_state=0)

        kmeans.fit(pixels)

        # Extract cluster centers (dominant colors)

        colors = kmeans.cluster_centers_.astype(int)

        return colors

    except Exception as e:

        print(f"Error: {e}")

        return []

def display_palette(colors):

    """

    Displays the color palette using matplotlib.

    Args:

        colors (list): List of RGB tuples representing colors.

    """

    if colors is None or len(colors) == 0:

        print("No colors to display.")

        return

    # Create a palette image

    palette = np.zeros((50, len(colors) * 50, 3), dtype=np.uint8)

    for i, color in enumerate(colors):

        palette[:, i * 50:(i + 1) * 50, :] = color

    # Display the palette

    plt.imshow(palette)

    plt.axis("off")

    plt.show()

def main():

    print("Welcome to the Color Palette Generator!")

    image_path = input("Enter the path to the image file: ")

    num_colors = input("Enter the number of colors to extract (default is 5): ")

    num_colors = int(num_colors) if num_colors.isdigit() else 5

    print("\nExtracting colors...")

    colors = extract_colors(image_path, num_colors)

    if len(colors) > 0:

        print("Dominant colors (RGB):")

        for i, color in enumerate(colors, 1):

            print(f"{i}: {tuple(color)}")

        display_palette(colors)

if __name__ == "__main__":

    main()

Image to ASCII Art

 from PIL import Image

# Define ASCII characters for different levels of brightness

ASCII_CHARS = ["@", "#", "S", "%", "?", "*", "+", ";", ":", ",", "."]

def resize_image(image, new_width=100):

    """Resizes the image while maintaining aspect ratio."""

    width, height = image.size

    aspect_ratio = height / width

    new_height = int(new_width * aspect_ratio * 0.55)  # Adjusting for terminal aspect ratio

    return image.resize((new_width, new_height))

def grayify(image):

    """Converts the image to grayscale."""

    return image.convert("L")

def pixels_to_ascii(image):

    """Maps grayscale pixel values to ASCII characters."""

    pixels = image.getdata()

    ascii_str = "".join(ASCII_CHARS[pixel // 25] for pixel in pixels)

    return ascii_str

def convert_image_to_ascii(image_path, new_width=100):

    """Main function to convert image to ASCII art."""

    try:

        image = Image.open(image_path)

    except Exception as e:

        print(f"Unable to open image file: {image_path}")

        print(e)

        return

    # Resize and process the image

    image = resize_image(image, new_width)

    image = grayify(image)

    # Convert pixels to ASCII

    ascii_str = pixels_to_ascii(image)

    img_width = image.width

    ascii_str_len = len(ascii_str)

    ascii_art = "\n".join(ascii_str[i:i + img_width] for i in range(0, ascii_str_len, img_width))

    return ascii_art

def main():

    image_path = input("Enter the path to the image file: ")

    width = int(input("Enter the desired width of the ASCII art (default is 100): ") or 100)

    ascii_art = convert_image_to_ascii(image_path, width)

    

    if ascii_art:

        print("\nGenerated ASCII Art:\n")

        print(ascii_art)

        

        # Save the ASCII art to a text file

        output_file = "ascii_art.txt"

        with open(output_file, "w") as f:

            f.write(ascii_art)

        print(f"\nASCII art has been saved to {output_file}")

if __name__ == "__main__":

    main()

Image Resizer with a GUI

 import tkinter as tk

from tkinter import filedialog, messagebox

from PIL import Image, ImageTk

def select_image():

    global img, img_path

    img_path = filedialog.askopenfilename(

        filetypes=[("Image Files", "*.jpg;*.jpeg;*.png;*.bmp;*.gif")]

    )

    if not img_path:

        return

    img = Image.open(img_path)

    preview_image(img)

def preview_image(image):

    # Resize for preview

    preview = image.copy()

    preview.thumbnail((300, 300))

    tk_img = ImageTk.PhotoImage(preview)

    img_label.config(image=tk_img)

    img_label.image = tk_img

def resize_image():

    global img, img_path

    if not img_path:

        messagebox.showerror("Error", "No image selected!")

        return

    try:

        new_width = int(width_entry.get())

        new_height = int(height_entry.get())

        resized_img = img.resize((new_width, new_height))

        

        save_path = filedialog.asksaveasfilename(

            defaultextension=".png",

            filetypes=[("PNG files", "*.png"), ("JPEG files", "*.jpg"), ("All files", "*.*")]

        )

        if save_path:

            resized_img.save(save_path)

            messagebox.showinfo("Success", f"Image saved to {save_path}")

    except ValueError:

        messagebox.showerror("Error", "Please enter valid width and height values!")

    except Exception as e:

        messagebox.showerror("Error", f"An error occurred: {str(e)}")

# GUI Setup

root = tk.Tk()

root.title("Image Resizer")

frame = tk.Frame(root)

frame.pack(pady=10)

# Image Preview

img_label = tk.Label(frame)

img_label.pack()

# Select Image Button

select_btn = tk.Button(root, text="Select Image", command=select_image)

select_btn.pack(pady=5)

# Input Fields for Width and Height

size_frame = tk.Frame(root)

size_frame.pack(pady=5)

tk.Label(size_frame, text="Width: ").grid(row=0, column=0, padx=5)

width_entry = tk.Entry(size_frame, width=10)

width_entry.grid(row=0, column=1, padx=5)

tk.Label(size_frame, text="Height: ").grid(row=0, column=2, padx=5)

height_entry = tk.Entry(size_frame, width=10)

height_entry.grid(row=0, column=3, padx=5)

# Resize Button

resize_btn = tk.Button(root, text="Resize and Save", command=resize_image)

resize_btn.pack(pady=10)

root.mainloop()

Unit Converter

 def convert_temperature(value, from_unit, to_unit):

    if from_unit == "Celsius" and to_unit == "Fahrenheit":

        return (value * 9/5) + 32

    elif from_unit == "Fahrenheit" and to_unit == "Celsius":

        return (value - 32) * 5/9

    elif from_unit == "Celsius" and to_unit == "Kelvin":

        return value + 273.15

    elif from_unit == "Kelvin" and to_unit == "Celsius":

        return value - 273.15

    elif from_unit == "Fahrenheit" and to_unit == "Kelvin":

        return (value - 32) * 5/9 + 273.15

    elif from_unit == "Kelvin" and to_unit == "Fahrenheit":

        return (value - 273.15) * 9/5 + 32

    return value

def convert_length(value, from_unit, to_unit):

    conversion_factors = {

        "meters": 1,

        "kilometers": 0.001,

        "centimeters": 100,

        "millimeters": 1000,

        "inches": 39.3701,

        "feet": 3.28084,

        "miles": 0.000621371,

    }

    return value * conversion_factors[to_unit] / conversion_factors[from_unit]

def convert_weight(value, from_unit, to_unit):

    conversion_factors = {

        "kilograms": 1,

        "grams": 1000,

        "milligrams": 1_000_000,

        "pounds": 2.20462,

        "ounces": 35.274,

    }

    return value * conversion_factors[to_unit] / conversion_factors[from_unit]

def main():

    print("Unit Converter")

    print("1. Temperature")

    print("2. Length")

    print("3. Weight")

    choice = input("Choose a category (1/2/3): ")

    if choice == "1":

        print("\nTemperature Units: Celsius, Fahrenheit, Kelvin")

        value = float(input("Enter the value to convert: "))

        from_unit = input("Convert from: ").capitalize()

        to_unit = input("Convert to: ").capitalize()

        result = convert_temperature(value, from_unit, to_unit)

        print(f"{value} {from_unit} is equal to {result:.2f} {to_unit}")

    elif choice == "2":

        print("\nLength Units: meters, kilometers, centimeters, millimeters, inches, feet, miles")

        value = float(input("Enter the value to convert: "))

        from_unit = input("Convert from: ").lower()

        to_unit = input("Convert to: ").lower()

        result = convert_length(value, from_unit, to_unit)

        print(f"{value} {from_unit} is equal to {result:.2f} {to_unit}")

    elif choice == "3":

        print("\nWeight Units: kilograms, grams, milligrams, pounds, ounces")

        value = float(input("Enter the value to convert: "))

        from_unit = input("Convert from: ").lower()

        to_unit = input("Convert to: ").lower()

        result = convert_weight(value, from_unit, to_unit)

        print(f"{value} {from_unit} is equal to {result:.2f} {to_unit}")

    else:

        print("Invalid choice! Please select 1, 2, or 3.")

if __name__ == "__main__":

    main()