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Khamisi Kibet

Khamisi Kibet

Software Developer

I am a computer scientist, software developer, and YouTuber, as well as the developer of this website, spinncode.com. I create content to help others learn and grow in the field of software development.

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7 Months ago | 48 views

**Designing a Dynamic Travel Planner with Qt and PyQt6** In this article, we'll explore how to build a travel planner application using Qt and PyQt6. The application will allow users to plan their trips by entering their travel dates, destinations, and preferred activities. We'll then fetch information from APIs and display it in a user-friendly interface. ### Features - User-friendly UI with a clear layout for easier navigation - API integration for fetching travel information - Allows users to save and load their itineraries - Displays weather forecasts and local events for each destination ### Installation and Setup To start, you'll need to install the following dependencies: ```bash pip install PyQt6 pip install requests pip install beautifulsoup4 pip install lxml ``` ### Designing the UI For the UI design, we'll use a combination of layouts to create a visually appealing and functional interface. ```python import sys from PyQt6.QtWidgets import QApplication, QWidget, QVBoxLayout, QPushButton, QComboBox from PyQt6.QtCore import QSize, Qt class TravelPlanner(QWidget): def __init__(self): super().__init__() self.initUI() def initUI(self): # Set the window title and size self.setWindowTitle('Travel Planner') self.setGeometry(100, 100, 800, 600) # Create the main layout layout = QVBoxLayout() # Create a dropdown menu for destinations self.destination_input = QComboBox() self.destination_input.addItem('City 1') self.destination_input.addItem('City 2') self.destination_input.addItem('City 3') layout.addWidget(self.destination_input) # Create a date input field self.date_input = QPushButton('Select Date') layout.addWidget(self.date_input) # Create a dropdown menu for activities self.activity_input = QComboBox() self.activity_input.addItem('Visit Local Landmark') self.activity_input.addItem('Try Local Cuisine') self.activity_input.addItem('Relax on the Beach') layout.addWidget(self.activity_input) # Create a save button save_button = QPushButton('Save Itinerary') save_button.clicked.connect(self.save_itinerary) layout.addWidget(save_button) # Create a load button load_button = QPushButton('Load Itinerary') load_button.clicked.connect(self.load_itinerary) layout.addWidget(load_button) # Set the main layout self.setLayout(layout) if __name__ == '__main__': app = QApplication(sys.argv) window = TravelPlanner() window.show() sys.exit(app.exec()) ``` ### API Integration We'll use the Geopy and Wikipedia APIs to fetch information about each destination. We'll also use the Weather API to fetch weather forecasts. ```python import requests from bs4 import BeautifulSoup from geopy.geocoders import Nominatim class APIIntegration: def __init__(self): self.Geolocator = Nominatim(user_agent='TravelPlanner') def get_destination_info(self, destination_name): location = self.Geolocator.geocode(destination_name) url = f'https://en.wikipedia.org/wiki/{destination_name}' response = requests.get(url) soup = BeautifulSoup(response.text, 'lxml') return location, soup def get_weather_forecast(self, destination_name): url = f'http://wttr.in/{destination_name}?format=j1' response = requests.get(url) return response.json()['current_condition'] # Usage: api_integration = APIIntegration() location, soup = api_integration.get_destination_info('Los Angeles') print(location) print(soup) weather_forecast = api_integration.get_weather_forecast('Los Angeles') print(weather_forecast) ``` ### Data Persistence We'll use a simple SQLite database to store and load user itineraries. ```python import sqlite3 class Database: def __init__(self, db_name): self.conn = sqlite3.connect(db_name) self.cursor = self.conn.cursor() def create_table(self): self.cursor.execute(''' CREATE TABLE IF NOT EXISTS itineraries ( id INTEGER PRIMARY KEY, destination_name TEXT, date DATE, activity TEXT ) ''') self.conn.commit() def save_itinerary(self, destination_name, date, activity): self.cursor.execute(''' INSERT INTO itineraries (destination_name, date, activity) VALUES (?, ?, ?) ''', (destination_name, date, activity)) self.conn.commit() def load_itinerary(self): self.cursor.execute('SELECT * FROM itineraries') return self.cursor.fetchall() # Usage: db = Database('itineraries.db') db.create_table() db.save_itinerary('Los Angeles', '2022-01-01', 'Visit Local Landmark') print(db.load_itinerary()) ``` This article demonstrated how to design a dynamic travel planner application using Qt and PyQt6. We explored how to create a user-friendly UI, integrate APIs to fetch information about destinations, and store and load user itineraries using a SQLite database. The application features a clear and intuitive layout, allowing users to efficiently plan their trips. To learn more about Qt and PyQt6, we recommend checking out the official documentation and tutorials: * Qt Documentation: https://doc.qt.io/ * PyQt6 Documentation: https://www.riverbankcomputing.com/static/Docs/PyQt6/ * PyQt5 Tutorial: https://www.tutorialspoint.com/pyqt/index.htm If you have any questions or would like to share your experiences with this tutorial, please leave a comment below.
Daily Tip

Designing a Dynamic Travel Planner with Qt and PyQt6

**Designing a Dynamic Travel Planner with Qt and PyQt6** In this article, we'll explore how to build a travel planner application using Qt and PyQt6. The application will allow users to plan their trips by entering their travel dates, destinations, and preferred activities. We'll then fetch information from APIs and display it in a user-friendly interface. ### Features - User-friendly UI with a clear layout for easier navigation - API integration for fetching travel information - Allows users to save and load their itineraries - Displays weather forecasts and local events for each destination ### Installation and Setup To start, you'll need to install the following dependencies: ```bash pip install PyQt6 pip install requests pip install beautifulsoup4 pip install lxml ``` ### Designing the UI For the UI design, we'll use a combination of layouts to create a visually appealing and functional interface. ```python import sys from PyQt6.QtWidgets import QApplication, QWidget, QVBoxLayout, QPushButton, QComboBox from PyQt6.QtCore import QSize, Qt class TravelPlanner(QWidget): def __init__(self): super().__init__() self.initUI() def initUI(self): # Set the window title and size self.setWindowTitle('Travel Planner') self.setGeometry(100, 100, 800, 600) # Create the main layout layout = QVBoxLayout() # Create a dropdown menu for destinations self.destination_input = QComboBox() self.destination_input.addItem('City 1') self.destination_input.addItem('City 2') self.destination_input.addItem('City 3') layout.addWidget(self.destination_input) # Create a date input field self.date_input = QPushButton('Select Date') layout.addWidget(self.date_input) # Create a dropdown menu for activities self.activity_input = QComboBox() self.activity_input.addItem('Visit Local Landmark') self.activity_input.addItem('Try Local Cuisine') self.activity_input.addItem('Relax on the Beach') layout.addWidget(self.activity_input) # Create a save button save_button = QPushButton('Save Itinerary') save_button.clicked.connect(self.save_itinerary) layout.addWidget(save_button) # Create a load button load_button = QPushButton('Load Itinerary') load_button.clicked.connect(self.load_itinerary) layout.addWidget(load_button) # Set the main layout self.setLayout(layout) if __name__ == '__main__': app = QApplication(sys.argv) window = TravelPlanner() window.show() sys.exit(app.exec()) ``` ### API Integration We'll use the Geopy and Wikipedia APIs to fetch information about each destination. We'll also use the Weather API to fetch weather forecasts. ```python import requests from bs4 import BeautifulSoup from geopy.geocoders import Nominatim class APIIntegration: def __init__(self): self.Geolocator = Nominatim(user_agent='TravelPlanner') def get_destination_info(self, destination_name): location = self.Geolocator.geocode(destination_name) url = f'https://en.wikipedia.org/wiki/{destination_name}' response = requests.get(url) soup = BeautifulSoup(response.text, 'lxml') return location, soup def get_weather_forecast(self, destination_name): url = f'http://wttr.in/{destination_name}?format=j1' response = requests.get(url) return response.json()['current_condition'] # Usage: api_integration = APIIntegration() location, soup = api_integration.get_destination_info('Los Angeles') print(location) print(soup) weather_forecast = api_integration.get_weather_forecast('Los Angeles') print(weather_forecast) ``` ### Data Persistence We'll use a simple SQLite database to store and load user itineraries. ```python import sqlite3 class Database: def __init__(self, db_name): self.conn = sqlite3.connect(db_name) self.cursor = self.conn.cursor() def create_table(self): self.cursor.execute(''' CREATE TABLE IF NOT EXISTS itineraries ( id INTEGER PRIMARY KEY, destination_name TEXT, date DATE, activity TEXT ) ''') self.conn.commit() def save_itinerary(self, destination_name, date, activity): self.cursor.execute(''' INSERT INTO itineraries (destination_name, date, activity) VALUES (?, ?, ?) ''', (destination_name, date, activity)) self.conn.commit() def load_itinerary(self): self.cursor.execute('SELECT * FROM itineraries') return self.cursor.fetchall() # Usage: db = Database('itineraries.db') db.create_table() db.save_itinerary('Los Angeles', '2022-01-01', 'Visit Local Landmark') print(db.load_itinerary()) ``` This article demonstrated how to design a dynamic travel planner application using Qt and PyQt6. We explored how to create a user-friendly UI, integrate APIs to fetch information about destinations, and store and load user itineraries using a SQLite database. The application features a clear and intuitive layout, allowing users to efficiently plan their trips. To learn more about Qt and PyQt6, we recommend checking out the official documentation and tutorials: * Qt Documentation: https://doc.qt.io/ * PyQt6 Documentation: https://www.riverbankcomputing.com/static/Docs/PyQt6/ * PyQt5 Tutorial: https://www.tutorialspoint.com/pyqt/index.htm If you have any questions or would like to share your experiences with this tutorial, please leave a comment below.

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