**Threading and Concurrency: Implementing a Real-time Weather App with PyQt6** In this article, we will create a real-time weather application using PyQt6, exploring the concepts of threading and concurrency. This application will fetch current weather data from a public API and update the UI in real-time. **Prerequisites** * Python 3.8+ * PyQt6 * requests library **Installation** ```bash pip install pyqt6 requests ``` **Weather API** For this example, we'll use the OpenWeatherMap API. Create an account on their website and obtain an API key. **Code** ```python import sys import requests import threading from PyQt6.QtCore import QTimer, QThread, pyqtSignal from PyQt6.QtWidgets import QApplication, QWidget, QVBoxLayout, QLabel from PyQt6.QtGui import QFont class WeatherApp(QWidget): def __init__(self): super().__init__() self.api_key = "YOUR_OPENWEATHERMAP_API_KEY" self.location = "London" self.layout = QVBoxLayout() self.setLayout(self.layout) self.weather_label = QLabel("Loading...") self.weather_label.setFont(QFont("Arial", 24)) self.layout.addWidget(self.weather_label) self.thread = WeatherThread(self.api_key, self.location) self.thread.weather_signal.connect(self.update_weather) self.thread.start() self.timer = QTimer(self) self.timer.timeout.connect(self.thread.update_weather_data) self.timer.start(60000) # Update every minute def update_weather(self, data): self.weather_label.setText(data) class WeatherThread(QThread): weather_signal = pyqtSignal(str) def __init__(self, api_key, location): super().__init__() self.api_key = api_key self.location = location def update_weather_data(self): url = f"http://api.openweathermap.org/data/2.5/weather?q={self.location}&appid={self.api_key}" response = requests.get(url) data = response.json() weather_description = data["weather"][0]["description"].capitalize() temperature = round(data["main"]["temp"] - 273.15, 2) # Convert Kelvin to Celsius self.weather_signal.emit(f"{weather_description}, {temperature}°C") if __name__ == "__main__": app = QApplication(sys.argv) window = WeatherApp() window.resize(400, 200) window.show() sys.exit(app.exec()) ``` **Explanation** This application uses two threads: the main thread and a WeatherThread. The main thread handles the UI, while the WeatherThread fetches weather data from the API. When the WeatherThread updates the weather data, it emits a signal, which is connected to the `update_weather` slot in the main thread. This updates the weather label in real-time. **Distribution** To compile and package this application, you can use the PyQt6 built-in tools or third-party libraries like pyInstaller. Please refer to the official PyQt6 documentation for more information: https://www.riverbankcomputing.com/software/pyqt/stable/ **Comments** If you have any questions or suggestions, please leave a comment below. How do you handle threading and concurrency in your PyQt6 applications? Share your experiences and best practices.