This is a simple Python project for analyzing and visualizing weather data for London. It can serve as a practice exercise for beginner Python developers.
This project retrieves hourly weather data for London via the Open-Meteo API, processes and analyzes the data using Pandas, and generates interactive visualizations with Matplotlib and Seaborn.
Some key features:
- Fetch real-time and historical weather data from Open-Meteo API
- Use Pandas for data wrangling and analysis
- Plot varius interactive charts using Matplotlib and Seaborn
- Calculate weather metrics and statistics
To use this project, simply clone the repository and run the Jupyter notebook. You will need to install the required libraries like Pandas, NumPy, Matplotlib, etc.
Feel free to play around with the code, improve the visualizations, add new analyses, or expand the scope to include more cities. This can serve as a hands-on exercise for Python developers looking to build their data science skills.
Contributions and improvements are welcome!
This project is open source and available under the MIT License.