Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/atharva-narkhede/weather-forecast-python
A Python-based GUI application providing detailed and accurate weather forecasts. Features include temperature, humidity, wind speed, UV index, and 7-day weather predictions.
https://github.com/atharva-narkhede/weather-forecast-python
api gui open-weather-api python tkinter weather weather-forecast
Last synced: about 5 hours ago
JSON representation
A Python-based GUI application providing detailed and accurate weather forecasts. Features include temperature, humidity, wind speed, UV index, and 7-day weather predictions.
- Host: GitHub
- URL: https://github.com/atharva-narkhede/weather-forecast-python
- Owner: atharva-narkhede
- License: mit
- Created: 2022-10-12T04:52:57.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-06-22T02:29:34.000Z (5 months ago)
- Last Synced: 2024-06-22T15:14:51.031Z (5 months ago)
- Topics: api, gui, open-weather-api, python, tkinter, weather, weather-forecast
- Language: Python
- Homepage:
- Size: 20.4 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Weather-Forecast-Python
## Overview
The Weather Forecast App is a Python-based GUI application designed to provide comprehensive weather details for a specified location. It leverages various weather parameters to offer users a detailed and accurate forecast.
## Screenshot
Below is a screenshot of the Weather Forecast App with marked features:
## Features
1. **Temperature:** Current temperature of the location.
2. **Description:** General weather description (e.g., sunny, cloudy).
3. **Wind Speed:** Wind speed in the specified area.
4. **Humidity:** Current humidity level.
5. **Pressure:** Atmospheric pressure.
6. **Visibility:** Visibility level.
7. **UV Index:** UV radiation level.
8. **Clouds:** Cloud coverage percentage.
9. **Dew Point:** Temperature at which dew forms.
10. **Date and Day:** Current date and day of the location.
11. **Time Zone, Longitude, and Latitude:** Geographic details of the location.
12. **7-Day Weather Predictions:** Day and night temperature forecasts for the next 7 days.
## Installation
To use the Weather Forecast App, follow these steps:
### Prerequisites
Ensure you have the following installed:
- Python 3.x
- pip (Python package installer)
### Packages
Install the required packages using the following commands:
```bash
pip install tk
pip install geopy
pip install timezonefinder
pip install datetime
pip install requests
pip install pytz
```
### Download
[Download the Weather App](https://github.com/atharva-narkhede/Weather-Forecast-Python/archive/refs/heads/main.zip)
### Running the App
1. **Download and Extract**: Download and extract the zip file.
2. **Run the Application**: Open the extracted folder and locate the file named `weather_app.py`. Right-click on the file and select "Open with Python".
## Note
Ensure to manually correct the image file path in the code. Update the path to match the actual location of your image files. For example:
## Usage
1. **Open the Application**: Launch the Weather Forecast App.
2. **Search for a Location**: Enter the name of the place in the search box and press enter or click the search button.
3. **View Weather Details**: The app will display the weather details for the specified location.
## Methodology
1. **User Input**: The user inputs the name of the place.
2. **Timezone Detection**: The app finds the timezone of the place using the `timezonefinder` package.
3. **Current Time Retrieval**: The app retrieves the current time of the place.
4. **API Call**: The app makes an API call to get weather data based on the latitude and longitude.
5. **Data Extraction**: The app extracts weather details from the JSON response.
6. **Icon Display**: The app uses the extracted data to display appropriate weather icons.
7. **Display Weather Report**: The app displays the complete weather report on the screen.
## Future Work
1. **Improved GUI**: Enhance the graphical user interface.
2. **Faster API Response**: Reduce the time required by the API to respond.
3. **Additional Features**: Add options such as graphs, daily alerts, desktop notifications, and current weather at the user's location.
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.